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Job Description Job Description Position Overview Gr8ttek is seeking skilled Network Engineers and Network Technicians with hands-on Cisco networking experience to support enterprise infrastructure for a major healthcare organization. Longview, WA (1 opening); 25-28/hour We are looking for technical professionals who can independently configure, maintain, and troubleshoot network equipment, including Cisco routers, switches, and wireless infrastructure. Candidates do not need to be network architects or have extensive network design experience. However, they must have practical experience configuring enterprise networking equipment and working with routing protocols such as BGP and OSPF. This is an excellent opportunity for a networking professional seeking a long-term career opportunity through a six-month contract-to-hire assignment. Key Responsibilities Install, configure, maintain, and troubleshoot Cisco network equipment. Perform hands-on configuration of enterprise routers and switches. Support BGP and OSPF routing configurations and troubleshooting. Troubleshoot LAN, WAN, WLAN, and SD-WAN connectivity issues. Configure and support VLANs, trunking, routing, and switching technologies. Diagnose network outages, connectivity issues, latency, and performance problems. Support enterprise wireless access points and controllers. Perform network equipment upgrades, configuration changes, and maintenance. Monitor network performance and respond to technical incidents. Assist senior network engineers with infrastructure improvements and deployments. Maintain accurate technical documentation and equipment records. Provide secondary desktop and laptop support when needed. Participate in on-call support as required. Required Qualifications Hands-on experience supporting enterprise Cisco networking environments. Ability to configure routers and switches, not simply install or connect equipment. Working knowledge of BGP and OSPF routing protocols. Understanding of TCP/IP, VLANs, subnetting, DNS, DHCP, and Layer 2/Layer 3 networking. Experience diagnosing network connectivity and performance problems. Familiarity with enterprise wireless networking. Experience with network troubleshooting tools, logs, and monitoring systems. Strong technical documentation and communication skills. Ability to work independently and collaborate with technical teams. Preferred Qualifications Cisco CCNA certification or equivalent practical experience. Experience with Cisco Catalyst switches and enterprise routers. Exposure to SD-WAN environments. Experience with network monitoring platforms such as SolarWinds. Familiarity with Wireshark or packet analysis. Previous experience supporting networks in healthcare or other large enterprise environments. Experience providing desktop or laptop technical support. Ideal Candidate You may be a great fit if you are currently working as a Network Technician, Network Administrator, Network Support Engineer, or Network Operations Engineer and want to advance your career. You should be comfortable logging into Cisco equipment, making configuration changes, troubleshooting routing and switching issues, and resolving network incidents. This is not a basic desktop support or cable installation position. Hands-on network configuration experience is essential. Why Join This Opportunity? Six-month contract-to-hire opportunity. Potential for permanent employment. Experience supporting enterprise networking infrastructure. Opportunity to expand technical expertise and advance your career. How to Apply Submit your current resume detailing your hands-on Cisco networking experience, including routing protocols, switch configuration, network troubleshooting, and enterprise network support. Gr8ttek is an equal opportunity employer. By providing your phone number on this application, you consent to receive SMS text messages from Gr8ttek regarding your application status, interview scheduling, onboarding updates, and hiring notifications. Message frequency varies. Message and data rates may apply. Reply STOP to opt out at any time or HELP for assistance. Powered by JazzHR qgz5Byr2Ou

Job Description Job Description 10778 - Sr. Network Engineer Irvine, CA 92614 (5 days on-site) Company Overview Hyundai AutoEver America (HAEA) is the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis. HAEA offers a truly global and collaborative environment. Here, you'll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group. At HAEA, we understand that IT is the cornerstone of today's fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai's Global Headquarters and North American operations. If you're passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that's driving the future of automotive innovation. Website: Role Overview: Ensures Service Provider delivery of managed services in the areas of Network Services functions meet HAEA's Network & Business requirements. This position requires in-depth knowledge of HAEA's Network Infrastructure, (LAN/Switches, DNS - DHCP, WAN, Load Balancers, VOIP, VPN etc.) to address complex incidents and problems and to provide a stable and reliable infrastructure. This position is also responsible for ensuring that Network Infrastructure meets availability requirements and contracted service levels. The person is also responsible for managing vendor technical performance, network specific contracts/suppliers and prioritizing customer business requests, managing projects schedules and budgets. Key Responsibilities: Develop and provide Network architecture Provide Network documentation standards and requirements Develop business and functional requirements for Projects relating to the Network Management Services Manage circuit provisioning for new WAN connectivity, including obtaining favorable circuit pricing Work with Client's facility personnel to build necessary facility requirements Order and expedite delivery of Network equipment, circuits and services Manage the performance of public carriers (and other third parties) to meet Client requirements (e.g., schedules, projects) and SLAs Coordinate and oversee third-party installation activities (e.g., Network carrier circuit installation activities, router installation) Approve router configuration files and IP addressing schemas and standards Provide requirements (e.g., security, performance) for physical and logical Network traffic segmentation Manage technical third-party relationships for facility cable management services (e.g., physical wiring between servers and wiring closet and between wiring closet and desktop) Support activities related to Client-planned or third-party planned and unplanned outages Monitoring Service Provider's end-to-end support of Network Services Managing Service Provider overall performance & SLAs and quality in accordance with contract Ensuring that Patch Monitoring and Deployments are performed timely and in accordance with service levels. Providing on-site support to compliment service provider's remote management services. Overseeing infrastructure hardware and software acquisition, installation, and changes. Ensuring high availability of infrastructure via service level management. Ensuring that Incident Management and upgrades are resolved. Identifying change requests in lieu of performance improvements and cost efficiencies. Basic Qualifications: Bachelor's degree or equivalent in the field of business, computers, information systems or related degree. 10-12 years relevant work experience in related functional role. Extensive knowledge of networking technologies and protocols including TCP/IP, QoS, IPT, VoIP, IOS; Routing and Switching; Routing protocols such as OSPF and BGP; WAN Optimization technologies Demonstrated experience Wired and wireless local area network ("LAN") segments including wired and wireless infrastructure supporting all Network traffic originating from computing devices (e.g., wireless access points, desktop devices, local file and print servers, peripherals and other Network devices and other End User devices) Demonstrated experience with setup and configuration of redundant networking environments. Demonstrated ability to manage IP management components - Domain Name Services (DNS) and Dynamic Host Configuration Protocol (DHCP) components and central, real-time logging components Experience in Remote access components - Virtual private network ("VPN") infrastructure Firewalls, Multi-factor authentication Equipment and Software (e.g., tokens), Intrusion prevention and detection devices Deep knowledge in designing and developing functional SDN and SDDC technology, understanding of security, physical networking is required Expertise in Network Components provisioned are included in all IT Life Cycle and IT Service Management Services-related documentation (e.g., asset management and configuration management, i.e. CMDB) Preferred Qualifications Ability to design processes that ensure rapid Incident determination, alert identification and correlation, escalation and resolution for all Network environments on a 24x7x365 Demonstrated experience with continuous improvements to Networking Solutions Remote access components - Virtual private network ("VPN") infrastructure. Extensive experience with Networking problem diagnosis and resolution. Demonstrated experience with server administration. Experience in managing sourcing vendors, deliverables and service delivery outcomes. Preferred experience in managing enterprise network management SLA/service delivery metrics. Experience overseeing root cause analysis to proactively prevent problem recurrence and to improve Service Levels. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice . Team Culture: Our team thrives on collaboration, innovation, and continuous learning. We foster a supportive environment where every member is encouraged to share ideas and contribute to problem-solving. We value: Passion for Technology: We are enthusiastic about emerging technologies and their potential to transform the automotive industry. Agility: We work in an agile environment, adapting quickly to changes and continuously improving our processes. Teamwork: We believe in the power of teamwork and collaboration, supporting each other to achieve common goals. Growth: We prioritize personal and professional growth, offering opportunities for learning and development. Inclusivity: We maintain an inclusive culture where diverse perspectives are valued and everyone feels welcome. Salary Range: $135,000 - $150,000 Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws. The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws. Powered by JazzHR dQgbPHwPPW

Job Description Job Description Description: JOB SUMMARY Responsible for administration, configuration and architectural creation of IP network(s) and related hardware across the CRAA organization as is required for specific and/or general networking requirements and special projects. General administration and configuration requirements for aviation security network and systems operation as related to uptime and accessibility of software platforms for safety and law enforcement purposes. Responsible for monitoring, maintaining, configuring, and resolving problems relating to, or indirectly related to, large network stability, performance, end user community problems with transport of data. This position reports to the Manager, Information Technology Operations. ESSENTIAL JOB FUNCTIONS : Reviews all business and security systems for operational functionality: checks all network devices; DARKTRACE AI appliances; inspects all virtual server hosts; reviews security platforms (ccure9k, ICE, Genetec), monitors Amadeus systems, and reviews VPN and Wi-Fi operability; maintains security for the Authority; develops, executes and tracks the performance of security measures to protect information and network infrastructure and computer systems; maintains security, develops, executes and tracks the performance of security measures to protect information and network infrastructure and computer systems. Assists with penetration testing and performs quarterly functions across networks develops third party penetration testing across all networks; mitigates issues and performs patching as necessary; performs special projects as needed: configures hardware and projects for major upcoming installations; developed new installation projects consisting of 400 plus cameras and network infrastructure to support three parking garages. Operates or uses various equipment and supplies to complete work assignments operates and maintains necessary data throughput rate by monitoring networking activity and maintaining existing equipment such as computer software, desktop publishing, databases, website development, video systems, VPN and assorted others. Communicates with Aviation Authority officials, supervisor, other employees, clients, third party contractors, vendors, tenants, and other individuals as needed to coordinate work activates, review status of work exchange information and resolve problems; collaborates with third-party support and service vendors to ensure that the network stays operational; purchases technical information from vendors; helps in hardware changes and explains airport requirements for network exchanges. Processes a variety of documentation associated with department/division operations, within designated timeframes and per established procedures receives and reviews various documentation such as IT drawings and purchase orders for various network and/or software; prepares and documents network diagrams, IT master informational documents and compiles data for further processing or for use in preparation of reports; maintains computerized and/or hardcopy records. Develop architecture to support business needs in relation to network transport requirements. Troubleshoots network problems. Responsible for taking inventory of existing network technologies. Ensure IP subnetting practices are best use for projects and departments. Ensures management is aware of any issues that could disrupt daily operations. Requirements: MINIMUM REQUIREMENTS TO PERFORM WORK: Bachelor's degree in computer science or related area. Five (5) years' experience in a related field of work. Or equivalent training, education, and/or experience. Specific License or Certification Required: Valid South Carolina driver's license. JNCIA Juniper certification, or higher certification. Required Skills : Must be proficient in Spanning Tree Protocol (VSTP, RSTP) Must be proficient in IPV4 addressing and schema Must be proficient in Juniper EX series and SRX series network equipment and configuration Must be able to configure IPSEC tunnels, firewall configurations for inbound and outbound traffic scenarios Must be proficient in Wi-Fi and wireless technologies Must be proficient in security practices and software security domains Should be knowledgeable in commercial airport environments that require networking security, DHS regulations, and overall public transportation safety Should be knowledgeable in monitoring and software systems, such as (SolarWinds, CorningOne, Genetec VMS, Software House CCURE9000, Commend, DarkTrace) Should be knowledgeable in BGP configurations Should understand Juniper MIST environment Should be knowledgeable with VMWARE and Nutanix VM network layouts/builds Assist other departments with new technology, or new installs that requires networking

Job Description Job Description We are Hiring: IT Network Engineer Location: Roseland, NJ 07068 Purpose: We are seeking a skilled IT Network Engineer to join our law firm in Roseland, NJ. This role is designed for an experienced support technician who combines hands-on technical troubleshooting with systems deployment and administration responsibilities. This role will support the firm's technology stack across applications, identity management, networking, firewalls, switches, and endpoint systems, ensuring stability, security, and efficiency across all offices and remote environments. The ideal candidate is a team player who enjoys onboarding new technologies, working directly with colleagues and employees, and augmenting organizational workflows to increase productivity. Responsibilities: Deploy, manage, and troubleshoot switch, access point, and firewall infrastructure. Occasional escalated requests for end-user support and management. Administer Active Directory and Azure AD / Entra ID including group policies. Manage user accounts, permissions, and role-based access controls. Support Microsoft 365 administration including Exchange Online, Teams, SharePoint, and OneDrive. Troubleshoot network issues including DNS, DHCP, VPNs, and wireless networking. Support and maintain print servers and enterprise printing environments. Manage patch deployment across the firm's fleet of desktops, laptops, and mobile devices. Maintain IT documentation and configurations. Track support requests through the ticketing system and ensure SLA compliance. Coordinate with vendors for escalation and issue resolution. Audit and augment departmental workflows via automation and new technologies. Assist with system upgrades, infrastructure improvements, and new technology deployments. Support implementation of security best practices and vulnerability remediation. Travel to external locations as necessary to provide on-site support. Be available for on-call support during nights, weekends, and holidays as needed. Qualifications: Bachelor's degree in IT, Computer Science, or related field preferred. Industry certification such Microsoft SC-200, MD-102, CCNA, CCNP, Palo Alto PCNSE or NGFE preferred Experience with networking and security solutions from Cisco, Aruba, Ruckus, Juniper, Meraki, Fortinet, and/or Palo Alto Networks is expected. Experience with Palo Alto is preferred. 3 years of experience in IT support, systems administration, or infrastructure support. Strong knowledge of Windows environments, Active Directory, and Microsoft 365 administration. Proficiency in Microsoft 365 collaboration tools. Experience supporting network infrastructure including TCP/IP, DNS, DHCP, VPN, and wireless. Experience managing endpoint fleets and patch management systems. Experience managing print servers and enterprise printing environments. Experience with scripting or automation tools such as PowerShell or Python. Understanding of identity management, endpoint protection, and security practices. Strong troubleshooting and analytical skills. Excellent communication skills and ability to support non-technical users.

Job Description Job Description Description: Position Summary Designs, develops, and maintains business intelligence dashboards, reports, and data visualizations that support Avum's internal operations and government mission programs. Transforms complex data in various formats into datasets to create clear, actionable insights for program teams, leadership, and government customers. Leverages advanced analytics, emerging AI, and automation capabilities to enhance reporting workflows, improve data quality, and accelerate analytics delivery. Key Responsibilities Design, build, and maintain interactive BI dashboards and reports using Tableau, QuickSight, Qlik, Appian or similar tools Develop and manage paginated and ad hoc reports for program teams, leadership, and government customers Build and optimize data models, calculated measures and data transformations to support accurate, scalable reporting Develop and maintain ETL processes for data extraction, cleansing, transformation, and loading from multiple sources Respond to ad hoc data calls and reporting requests from program teams and government customers with quick turnaround Perform data quality assurance, validation, and reconciliation to ensure reporting accuracy and data integrity Leverage AI-powered analytics features (e.g., AI-driven insights, natural language queries) to enhance dashboard capabilities and user experience Apply advanced analytic techniques to solve business problems and address needs Identify opportunities to automate recurring reports and data workflows using AI tools, scripting, or low-code platforms Collaborate with stakeholders to gather requirements, define KPIs, and translate business needs into effective data visualizations Present visualizations and findings to stakeholders and program teams Support data migration efforts, system integrations, and BI tool evaluation initiatives Create and maintain documentation for reports, data sources, data dictionaries, and standard operating procedures Monitor dashboard performance, troubleshoot data issues, and implement continuous improvements to reporting solutions Requirements: Required Qualifications Bachelor's degree in data analytics, information systems, computer science, statistics, or related 3+ years of experience in BI development, data analytics, or reporting Strong proficiency in Tableau, Amazon QuickSight, or similar BI platforms, including data modeling and calculated field development Experience with cloud-based BI platforms and data services (Databricks, Palantir Foundry, AWS QuickSight, Azure Synapse, Google Looker) Solid SQL skills with experience writing complex queries against relational databases (e.g., Redshift, Oracle, PostgreSQL, SQL Server) Experience designing star/snowflake schemas and building scalable data models Experience handling semi-unstructured and unstructured data Demonstrated ability to translate business requirements into clear, impactful data visualizations Experience with machine learning, predictive analytics, and other advanced analytics capabilities U.S. citizenship required Ability to obtain and maintain a Secret security clearance Preferred Qualifications Master's degree in data science, analytics, information systems, or related field Active Secret or Top Secret security clearance Experience with AI-enhanced analytics tools (e.g., Qlik Insight Advisor, Tableau AI, natural language query features) Python or R scripting skills for data manipulation, automation, or advanced analytics Familiarity with cutting edge standards for enterprise data architecture (e.g., Palantir Foundry Ontology, Appian data fabric) Tableau Desktop Specialist, Microsoft PL-300, or similar BI certification Experience with ETL tools or frameworks (SSIS, Informatica, AWS Glue, or custom pipelines) Familiarity with Appian, SharePoint, or other enterprise platforms Familiarity with DoD contract writing system data structures (Procurement Data Standard (PDS Experience supporting federal government or DoD customers Knowledge of federal compliance frameworks (CMMC, NIST 800-171) Google Associate Cloud Engineer or similar cloud certification Work Environment & Requirements Hybrid/remote work environment with potential on-site requirements based on contract needs U.S. citizenship required Security clearance: Ability to obtain and maintain a Secret clearance (active clearance preferred) Background check required Equal Employment Opportunity Avum, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class under federal, state, or local law. Avum is committed to compliance with Section 503 of the Rehabilitation Act and VEVRAA, and maintains an active Affirmative Action Plan.

Job Description About the role DataAnnotation is looking for experienced bench scientists to evaluate how frontier AI models handle real laboratory work: experimental design, assay QC, troubleshooting a failed run, reading raw instrument output, deciding whether data are usable. You bring the judgment you have built at the bench. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a plate QC and go or no go call on a cell based assay, a flow panel gating review, a cloning strategy check, or a Western blot interpretation with the raw images, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic experimental biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (plate maps and reader output, instrument exports, gel and blot images, flow summaries, protocols and SOPs, notebook entries, QC records, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the QC summary, experimental plan, troubleshooting memo, or results workbook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right controls checked, the right wells excluded and the right diagnosis of a failed run, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: controls ignored or misread, edge effects and outliers missed, wrong normalization to a reference, a plausible sounding troubleshooting story the raw data contradict, fabricated values, ignored files, and off brief interpretation of the ask. Contribute across molecular and cell biology, protein biochemistry, immunology and flow cytometry, imaging and histology, microbiology and virology, in vivo and preclinical work, and laboratory operations and analytical sciences, and review and refine tasks built by other experts. Domain qualifications 3+ years designing and running experiments at a pharma or biotech lab or an academic research lab (counted after undergraduate education). Depth of experience in at least one of: molecular biology and cloning; cell culture and cell based assays; protein biochemistry; immunology and flow cytometry; imaging and histology; microbiology or virology; in vivo and preclinical work. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a protein biochemist who also understands how a cell based assay is set up and controlled, and how a flow panel is designed and gated), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have designed and troubleshot experiments, not only executed established SOPs. You can explain what each control is for and diagnose why a run failed. You generate and QC primary data. You can look at raw instrument output and judge whether a run is usable before anyone makes a figure from it. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.

Job Description About the role DataAnnotation is looking for experienced computational biologists and bioinformaticians to evaluate how frontier AI models handle real biological data analysis: differential expression, variant interpretation, single cell workflows, multiomics integration, statistical genetics. You bring the judgment to know when a result is real. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic analysis tasks drawn from your own practice, such as a QC and interpretation exercise on an RNA seq count matrix, a variant prioritization report, a batch effect diagnosis, or a pipeline audit, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic computational biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (count matrices, sample sheets and metadata, VCFs, pipeline logs and QC output, reference annotations, analysis notebooks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the analysis report, annotated table, figure set, or notebook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct analysis must contain, such as the right normalization, the right multiple testing correction and the right biological reading, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: batch effects and confounders ignored, wrong statistical test or uncorrected p values, misused reference or annotation version, silently dropped samples, fabricated results, code that does not do what the narrative claims, and off brief interpretation of the ask. Contribute across genomics and variant interpretation, bulk and single cell transcriptomics, proteomics and multiomics, statistical and population genetics, and machine learning applied to biology, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on analyzing real biological data in industry, an academic lab, or a research institute (lab or institute time counted after undergraduate education). You write, debug, and can explain your own analysis code in Python and/or R (strong proficiency in both preferred, at least one required). Depth of experience in at least one of: genomics and variant interpretation; bulk or single cell transcriptomics; proteomics, metabolomics, or multiomics integration; population and statistical genetics; machine learning applied to biology; clinical genomics; metagenomics or phylogenetics. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a genomics specialist who also understands transcriptomics pipelines and how machine learning is applied to biological data), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have independently owned a multistep analysis end to end, from raw or messy data, through cleaning and processing, to a final interpretation, rather than picking up a clean dataset mid pipeline. Familiar with reproducible research practices (notebooks, scripts, version control, workflow tools). You can judge whether a result is real and say what it means: normalization choices, batch effects and confounding, multiple testing correction, statistical power, and biological interpretation. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include biostatistics, computer science, or statistics when paired with substantial biological data experience. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.

Job Description Job Description NextGen Federal Systems, LLC is seeking a Software Engineer with experience in Systems Tool Kit (STK) to support the development and integration of mission analysis and modeling applications. These applications enable multi-domain analysis-including air, space, ground, and maritime systems-by leveraging physics-based modeling and simulation to assess system performance, coverage, communications, and operational effectiveness. Responsibilities include software development, configuration, and execution; result interpretation; documentation; and modification and maintenance of tools and code. The selected candidate must be quick to learn, adaptable, and agile, interfacing directly with end-customers and customer leadership. The software engineer will provide a full range of systems and software engineering to support critical mission analyses. Responsibilities Develop, customize, and maintain STK-based applications to support mission planning, analysis, and visualization Integrate STK (Engine, Components, or Desktop) with external tools, models, and data sources to enable end-to-end mission workflows Implement backend services using Python and support frontend interfaces as needed Analyze and interpret simulation results, providing actionable insights to engineering teams and stakeholders Support traceability between mission analysis outputs and system models, ensuring consistency across the digital engineering environment Support deployment and execution of applications in modern environments (e.g., containerized or cloud-based) Contribute to documentation, user guides, and technical deliverables Troubleshoot and enhance existing tools to improve performance, usability, and scalability Qualifications BS or equivalent in Computer Science, Engineering, Mathematics, or equivalent technical degree 5+ years' prior work experience in the aerospace or defense industry, with demonstrated software development experience Experience customizing or automating STK-based tools or applications highly desired (including STK, STK Engine, STK Components, and/or Cesium) Experience integrating tools via APIs (REST or similar) Proficiency in Python and experience with backend frameworks such as Flask is required Strong expertise in React JS for building modern and responsive user interfaces is highly desirable Knowledge of version control systems, preferably Git is highly desirable Proven experience as a Full Stack Developer or similar role is highly desirable Capable of self-management and responsibly executing multiple tasks in accordance with priorities and deadlines Active Top Secret (TS) clearance required (SCI eligibility preferred) Preferred Qualifications Experience with STK Engine, STK Components, or Cesium Experience linking STK analyses to MBSE environments (e.g., parameter passing, trade studies, digital thread integration) Familiarity with digital engineering ecosystems, mission thread development, or model orchestration tools Experience with Docker, cloud environments, or DevSecOps practices Frontend development experience (e.g., React) About NextGen: NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client's organizational performance. We have established and foster a corporate culture where we: Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure. Communicate the importance of our mission and our employees' contributions to it, ensuring they understand how their job role contributes to the greater good. Openly promote and communicate our ideas for change and adaptability. Strive to achieve results as an organization. Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors. Value the talents and contributions of our employees as the key factor for our success. Create an environment where people can engage at all levels. Encourage people to take risks and allow them to make mistakes. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.

Job Description About the role DataAnnotation is looking for experienced bench scientists to evaluate how frontier AI models handle real laboratory work: experimental design, assay QC, troubleshooting a failed run, reading raw instrument output, deciding whether data are usable. You bring the judgment you have built at the bench. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a plate QC and go or no go call on a cell based assay, a flow panel gating review, a cloning strategy check, or a Western blot interpretation with the raw images, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic experimental biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (plate maps and reader output, instrument exports, gel and blot images, flow summaries, protocols and SOPs, notebook entries, QC records, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the QC summary, experimental plan, troubleshooting memo, or results workbook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right controls checked, the right wells excluded and the right diagnosis of a failed run, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: controls ignored or misread, edge effects and outliers missed, wrong normalization to a reference, a plausible sounding troubleshooting story the raw data contradict, fabricated values, ignored files, and off brief interpretation of the ask. Contribute across molecular and cell biology, protein biochemistry, immunology and flow cytometry, imaging and histology, microbiology and virology, in vivo and preclinical work, and laboratory operations and analytical sciences, and review and refine tasks built by other experts. Domain qualifications 3+ years designing and running experiments at a pharma or biotech lab or an academic research lab (counted after undergraduate education). Depth of experience in at least one of: molecular biology and cloning; cell culture and cell based assays; protein biochemistry; immunology and flow cytometry; imaging and histology; microbiology or virology; in vivo and preclinical work. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a protein biochemist who also understands how a cell based assay is set up and controlled, and how a flow panel is designed and gated), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have designed and troubleshot experiments, not only executed established SOPs. You can explain what each control is for and diagnose why a run failed. You generate and QC primary data. You can look at raw instrument output and judge whether a run is usable before anyone makes a figure from it. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.

Job Description About the role DataAnnotation is looking for experienced bench scientists to evaluate how frontier AI models handle real laboratory work: experimental design, assay QC, troubleshooting a failed run, reading raw instrument output, deciding whether data are usable. You bring the judgment you have built at the bench. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a plate QC and go or no go call on a cell based assay, a flow panel gating review, a cloning strategy check, or a Western blot interpretation with the raw images, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic experimental biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (plate maps and reader output, instrument exports, gel and blot images, flow summaries, protocols and SOPs, notebook entries, QC records, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the QC summary, experimental plan, troubleshooting memo, or results workbook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right controls checked, the right wells excluded and the right diagnosis of a failed run, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: controls ignored or misread, edge effects and outliers missed, wrong normalization to a reference, a plausible sounding troubleshooting story the raw data contradict, fabricated values, ignored files, and off brief interpretation of the ask. Contribute across molecular and cell biology, protein biochemistry, immunology and flow cytometry, imaging and histology, microbiology and virology, in vivo and preclinical work, and laboratory operations and analytical sciences, and review and refine tasks built by other experts. Domain qualifications 3+ years designing and running experiments at a pharma or biotech lab or an academic research lab (counted after undergraduate education). Depth of experience in at least one of: molecular biology and cloning; cell culture and cell based assays; protein biochemistry; immunology and flow cytometry; imaging and histology; microbiology or virology; in vivo and preclinical work. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a protein biochemist who also understands how a cell based assay is set up and controlled, and how a flow panel is designed and gated), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have designed and troubleshot experiments, not only executed established SOPs. You can explain what each control is for and diagnose why a run failed. You generate and QC primary data. You can look at raw instrument output and judge whether a run is usable before anyone makes a figure from it. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.

Job Description Position: Field Technology Support Engineer Location: Cincinnati Ohio Onsite Term : Fulltime About Infinite: Infinite is a global leader in digital engineering and IT services, with over 20 years of experience driving digital transformation. We partner with leading Fortune 1000 companies to deliver innovative, scalable technology solutions that accelerate business outcomes. With deep expertise in telecommunications, healthcare, banking, and finance, Infinite helps organizations optimize and modernize their technology landscapes to achieve long-term growth and efficiency. Infinite Computer Solutions seeks a Transformation Lead, Artificial Intelligence to own and advance AI-driven test automation across its healthcare and state-program testing engagements. The person designs, builds, and deploys AI systems that generate and accelerate software testing, and drives their adoption within the testing organization - owning the test-data governance and the stakeholder relationships that make AI testing succeed in regulated environments. This is a hands-on technical leadership role: the holder personally architects and delivers the AI testing solutions and serves as the team's AI subject-matter expert. Job Descriptions: Employment Type: Full-time Position Summary The Field Technology Support Engineer provides on-site and remote technical support to ensure the stability, performance, and usability of end-user systems and local IT infrastructure across multiple locations. This role serves as the primary field-based IT contact, delivering hands-on support, managing incidents, and maintaining a high-quality end-user experience while collaborating with enterprise IT teams. The ideal candidate is a self-motivated professional with strong technical expertise, excellent customer service skills, and the ability to work independently in field environments. Key Responsibilities End-User & Technical Support Provide on-site and remote support for desktops, laptops, printers, mobile devices, and peripherals. Experience with hands-on laptop repair, component replacement, or comparable depot work Diagnose and resolve hardware, software, and connectivity issues in Windows and macOS environments. Deliver responsive, customer-focused support via ticketing systems, phone, and in-person interactions. Installation & Deployment Install, configure, and deploy IT hardware, operating systems, and enterprise applications. Perform system upgrades, PC refreshes, imaging, and user profile migrations. Configure collaboration tools, VPN, email, and endpoint security solutions. Incident & Service Management Manage incidents and service requests using enterprise ticketing systems. Ensure timely resolution in accordance with established service level agreements (SLAs). Document issues, resolutions, and updates accurately within tracking systems. Infrastructure & Network Support Perform basic troubleshooting for LAN/Wi-Fi and TCP/IP connectivity issues. Support local network infrastructure including cabling and switch ports. Coordinate with centralized IT teams to resolve complex issues. Asset & Configuration Management Maintain accurate inventory of IT assets and equipment. Track device lifecycle and ensure compliance with standards. Preventive Maintenance & Continuous Improvement Conduct routine health checks and proactive maintenance on endpoints. Identify trends and recommend improvements to enhance reliability. User Training & Engagement Provide guidance and training on IT tools and applications. Partner with business users to improve technology adoption. Field Support & Travel Travel regularly to office and regional locations. Work in operational environments while adhering to safety standards. Required Qualifications Education & Experience Bachelor's degree in Computer Science, Information Systems, or related field preferred; equivalent experience considered. Experience in field IT support or desktop support environment. Technical Skills Proficiency with Windows 10/11 and Microsoft 365. Knowledge of Active Directory, networking (TCP/IP, DNS, DHCP), and ticketing systems (Service Now). Experience with imaging technologies and hardware troubleshooting (MDT/Intune). Core Competencies Strong troubleshooting and analytical skills. Excellent communication and customer service skills. Ability to work independently and manage priorities. Working Conditions Frequent travel, including overnight travel as needed. Ability to lift and install IT equipment. Work in office, field, and industrial environments.

Job Description We are looking for a Field Services Technician to provide hands-on IT support to employees at a manufacturing facility. The person will troubleshoot computer hardware and software issues, install and configure IT equipment, and help employees resolve technical problems. Key Responsibilities Troubleshoot desktop computers, laptops, monitors and other hardware. Install, configure and deploy computers for employees. Provide Windows 10/11 and Microsoft Office support. Assist with Active Directory user accounts and access issues. Troubleshoot printers, drivers and network connectivity. Support Cisco VPN and basic IT connectivity issues. Install and configure software and security applications. Manage IT equipment, inventory and hardware replacements. Handle support requests and update tickets in ServiceNow. Assist with conference room equipment, audio and display systems. Provide onsite technical assistance and coordinate with other IT teams. Required Qualifications 1-3 years of hands-on computer hardware troubleshooting experience beyond imaging and deployment. Experience in Desktop Support, IT Support or Field Services. Knowledge of Windows 10/11 and Microsoft Office. Familiarity with Active Directory. Experience troubleshooting desktops, laptops, printers and peripherals. Good communication and customer service skills. High School Diploma or GED required; Associate degree preferred.

Job Description We're looking for a Senior Desktop & Endpoint Support Analyst who enjoys tackling complex technical issues, working with modern Microsoft technologies, and finding smarter ways to support employees. This role goes beyond traditional desktop support. You'll serve as an escalation resource for challenging issues while working across Microsoft Intune, Windows 11, Microsoft 365, SCCM/MECM, Autopilot, Azure Virtual Desktop, PowerShell, endpoint security, and collaboration technology. What You'll Do Troubleshoot complex endpoint, desktop, mobile, virtual desktop, application, and collaboration technology issues. Administer and support Microsoft Intune, including device enrollment, configuration profiles, compliance policies, application and policy deployment, and MDM troubleshooting. Support Windows 11, Microsoft 365, SCCM/MECM, Windows Autopilot, endpoint security tools, and enterprise applications. Support Azure Virtual Desktop (AVD) and other virtual desktop technologies. Develop PowerShell scripts to automate administration, reporting, remediation, and repetitive support tasks. Support Microsoft Teams Rooms, conference room and AV technology, and other workplace technologies. Provide responsive technical support for business leaders and other high-visibility needs. Partner with infrastructure, security, and other IT teams to resolve complex issues and improve the technology environment. Participate in technology refreshes, migrations, deployments, and modernization initiatives. Use ServiceNow, Power BI, and operational data to identify trends and improve service delivery. Explore new technologies, including Microsoft Copilot and AI-enabled workplace tools, that can improve productivity and support efficiency. Mentor teammates and serve as a technical escalation resource. What We're Looking For 3+ years of progressive desktop support, endpoint support, IT support, or end-user computing experience Hands-on experience administering Microsoft Intune Strong experience with Windows 11 and Microsoft 365 Experience with SCCM/MECM and Windows Autopilot Experience with Azure Virtual Desktop (AVD) or similar virtual desktop technology Hands-on PowerShell scripting and automation experience Strong troubleshooting skills across endpoint and workplace technologies Experience supporting enterprise environments and partnering across IT teams Strong communication skills with the ability to support both technical and nontechnical users Experience serving as an escalation resource or mentoring other IT professionals Bachelor's degree in a technology-related field or equivalent relevant professional experience Nice to Have Microsoft Azure Administrator Associate (AZ-104) CompTIA Security+ ITIL Foundation Microsoft Teams Rooms or enterprise AV experience ServiceNow or Power BI experience Experience with Microsoft Copilot or other AI-enabled workplace tools Why This Role? If you're the person teammates turn to when a technical problem gets complicated, this could be a great next step. You'll stay hands-on while getting exposure to endpoint management, automation, virtual desktops, Microsoft cloud technologies, collaboration tools, analytics, and AI. You'll have the opportunity to solve today's problems while also helping make the technology environment better for tomorrow. Bring your troubleshooting skills, curiosity, and ideas. We'll bring plenty of interesting problems to solve.

Job Description My client, a market-leading, global, multi-billion dollar AUM hedge fund, is seeking a Desktop Engineer to join their New York office. You will take ownership of the maintenance and support of the firm's global end-user technology and VDI environment, ensuring seamless performance across a fast-paced, high-stakes trading floor. In addition, you will provide hands-on telephone and user-facing support to traders, portfolio managers, VIPs, and global offices worldwide. Key Responsibilities & Technologies Administration and support of Windows 10/11 enterprise environments across global offices Management and optimisation of VDI infrastructure (Citrix Virtual Apps & Desktops / VMware Horizon) End-user support across Microsoft 365 (Outlook, Teams, SharePoint, OneDrive) Device management via Microsoft Intune / SCCM / Autopilot Active Directory & Azure AD / Entra ID administration, including GPO management Support of trading floor hardware and software, including Bloomberg terminals and low-latency connectivity Incident and request management via ServiceNow or similar ITSM platforms Scripting and automation using PowerShell to improve operational efficiency You will bring 5+ years of experience supporting end users in a demanding, high-performance environment - ideally within financial services. Exposure to supporting traders and portfolio managers is highly desirable. My client is committed to rewarding talent. Expect a strong uplift on your current base salary, a market-leading bonus, and a benefits package that sets the benchmark - including top-tier private healthcare and complimentary in-house Michelin-star quality dining for all staff. Click the link below or send your CV directly to

Job Description About the role DataAnnotation is looking for experienced bench scientists to evaluate how frontier AI models handle real laboratory work: experimental design, assay QC, troubleshooting a failed run, reading raw instrument output, deciding whether data are usable. You bring the judgment you have built at the bench. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a plate QC and go or no go call on a cell based assay, a flow panel gating review, a cloning strategy check, or a Western blot interpretation with the raw images, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic experimental biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (plate maps and reader output, instrument exports, gel and blot images, flow summaries, protocols and SOPs, notebook entries, QC records, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the QC summary, experimental plan, troubleshooting memo, or results workbook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right controls checked, the right wells excluded and the right diagnosis of a failed run, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: controls ignored or misread, edge effects and outliers missed, wrong normalization to a reference, a plausible sounding troubleshooting story the raw data contradict, fabricated values, ignored files, and off brief interpretation of the ask. Contribute across molecular and cell biology, protein biochemistry, immunology and flow cytometry, imaging and histology, microbiology and virology, in vivo and preclinical work, and laboratory operations and analytical sciences, and review and refine tasks built by other experts. Domain qualifications 3+ years designing and running experiments at a pharma or biotech lab or an academic research lab (counted after undergraduate education). Depth of experience in at least one of: molecular biology and cloning; cell culture and cell based assays; protein biochemistry; immunology and flow cytometry; imaging and histology; microbiology or virology; in vivo and preclinical work. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a protein biochemist who also understands how a cell based assay is set up and controlled, and how a flow panel is designed and gated), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have designed and troubleshot experiments, not only executed established SOPs. You can explain what each control is for and diagnose why a run failed. You generate and QC primary data. You can look at raw instrument output and judge whether a run is usable before anyone makes a figure from it. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.

Job Description HICO America, headquartered in Pittsburgh Pennsylvania with facilities in Los Angeles, Greensburg, PA, and Memphis TN, is part of the Power Systems business unit, in the Industrial Performance Group of the Hyosung Corporation, a large publicly traded corporation based in Seoul, South Korea. HICO is an ISO 9001 and 14001 certified company, with primary business in power system products. The IT Engineer will provide end-user support and PC network maintenance, including both hardware and software for our Breaker Facility in Canonsburg, Pennsylvania. THE ESSENTIAL FUNCTIONS OF THE POSITION INCLUDE, BUT ARE NOT LIMITED TO THE FOLLOWING: User Support: Assist and support local and remote users in resolving hardware and software-related computer problems for laptops, desktops, and workstations. Documentation: Document all user problems in the company's help desk software, ensuring a comprehensive record of issues. Problem Resolution: Follow problems through to a timely resolution, collaborating with other IT team members. Product Support: Assist with product upgrades and new implementations to ensure smooth transitions and minimal disruptions. Equipment Maintenance: Roll out, repair, and return PC equipment while maintaining an accurate computer asset inventory. Lease Coordination: Coordinate lease returns of IT equipment and manage related administrative tasks. User Training: Provide user training to enhance end-user knowledge and productivity. Data Backup: Administer the data backup program to safeguard critical information. Telephony System: Monitor and coordinate all aspects related to the telephone system, including upgrades, changes, and user assistance. Collaboration: Collaborate with other IT team members to address problems and support the Division Controller and Corporate IT Department as needed. Professional Image: Promote the positive and professional image of the IT Department when dealing with other departments, vendors, and customers. Information Security: Apply information security practices based on ISO27001 and understand their impact in the workplace. Programming Support: Frontend(Vue.js) and backend application(C# REST API), Database(MSSQL) query, and other programming support Managing L2 and L3 network switches and backup network switch configurations Non-Essential Functions: Copier Management: Monitor and coordinate aspects related to digital multi-function copy machines. Project Management: Manage upgrade projects as assigned. Other Duties: Perform other duties as assigned. THE DESCRIPTION ABOVE REPRESENTS THE MOST SIGNIFICANT ESSENTIAL DUTIES OF THE JOB BUT DOES NOT EXCLUDE OTHER OCCASIONAL WORK ASSIGNMENTS NOT MENTIONED EDUCATION/SPECIAL SKILLS/EXPERIENCE/TRAINING: - Bachelor's degree in a computer-related field or equivalent education and experience. - Developed knowledge of PC repair, configuration, networking, Windows, MS Office, and other current company operating system platforms and applications. - Working knowledge of firewall applications. - Preferred certifications: A+ certification or MCIPT certification - Preferred Network certification: CCNA("Certified Cisco Network Administrator). - Advanced knowledge of PC applications. - Strong written and verbal communication skills. - Advanced computer skills with emphasis on MS Office 365 products and Teams. PHYSICAL/MENTAL CHARACTERISTICS OF THE POSITION AND ENVIRONMENTAL FACTORS OF THE WORKPLACE: - Ability to use office equipment such as PC, photocopier, fax machine, etc. - Ability to analyze data. - Ability to lift and move computer and related equipment as necessary to complete essential job functions. HICO America provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

Job Description Job Overview We are looking for an experienced and customer-focused L1 Desktop Support Engineer to provide on-site End User Computing (EUC) and desktop support for a short-term project in Iowa City, USA. The selected candidate will be responsible for providing first-level technical assistance, troubleshooting hardware and software issues, and ensuring smooth day-to-day IT operations for end users. Key Responsibilities Provide Level 1 desktop and end-user technical support. Troubleshoot desktop, laptop, printer, and peripheral-related issues. Install, configure, and support Windows operating systems. Assist users with Microsoft Office and Outlook-related issues. Troubleshoot basic network connectivity issues, including LAN, Wi-Fi, and VPN. Support password resets, account lockouts, and basic access-related issues. Perform hardware and software installation and configuration. Assist with IT asset tracking and inventory management. Log, track, and update incidents and service requests in the ticketing system. Escalate unresolved technical issues to the appropriate L2 support team. Maintain professional communication and provide excellent customer service. Required Skills & Qualifications 1-3 years of experience in Desktop Support / IT Helpdesk / EUC Support. Good knowledge of Windows 10/11 operating systems. Basic troubleshooting knowledge of desktops, laptops, printers, and peripherals. Working knowledge of Microsoft Office 365 and Outlook. Basic understanding of networking concepts (LAN, Wi-Fi, VPN). Good communication and interpersonal skills. Ability to work independently at the customer site. Strong troubleshooting and problem-solving abilities. Good spoken and written English communication skills. Important Project Details This is a 2-week contractual assignment . The resource must be available to start on 12 November 2026 . The role requires dedicated, on-site support. Working hours are 8:00 AM to 5:00 PM Iowa local time.

Job Description Join Our Team as an Onsite Support - Field Service Specialist! Are you passionate about delivering exceptional onsite support and ensuring seamless IT operations? Join us as an Onsite Support - Field Service expert and be the backbone of our client locations, providing top-notch service and support. The Role The Onsite Support - Field Service role manages day-to-day onsite end-user support delivery across one or more client locations. The role owns delivery of IMAC requests, break-fix incidents, and infrastructure project support, and is accountable for SLA attainment and customer satisfaction. Pay Rate Transparency Pay Range: $40000 - $45000 / annum. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). What You'll Do Monitor team queues in the ITSM tool; assign, balance, and re-prioritize work based on impact, urgency, and SLA. Coordinate VIP and executive support, critical incidents, and site outages. Balance BAU tickets against project work so neither breaches commitments. Escalate and coordinate with Service Desk, L3 resolver groups, network, server, and vendor teams. Own fulfillment of Install, Move, Add, and Change requests for end-user devices and peripherals. Deliver and set up computers, peripherals, and software for end users. Image computers using bootable USB media and deploy them to end users. Oversee device refresh and redeployment across sites. Ensure accurate asset tagging, CMDB updates, and asset lifecycle records for every IMAC action. Take Level 1 and Level 2 calls and walk-ups from end users and log them in ServiceDesk Plus; resolve issues ranging from password resets to hardware and software troubleshooting. Provide desk-side support when issues require hands-on troubleshooting. Ensure timely resolution of desktop, laptop, printer, mobile, AV, and peripheral incidents. Escalate issues to the appropriate ServiceDesk Plus resolver groups. Coordinate with vendor technicians to repair hardware under warranty; manage spare-parts inventory. Drive problem management for recurring issues and implement permanent fixes. Manage user and computer assets using Active Directory, Microsoft System Center Configuration Manager (SCCM), ManageEngine, CrowdStrike, and Okta. Manage surplus out-of-warranty equipment: wipe hard drives, remove computer objects from the network, and prepare equipment for sale on GovDeals. Manage Webex accounts for Medicaid call center users. Plan onsite support for infrastructure projects: hardware refresh, OS and application migrations, office moves, network cutovers, and site build-outs. Participate in project planning, provide effort estimates and resource plans, and report progress against milestones. Coordinate after-hours and weekend change windows following the change management process. Ensure adherence to ITIL processes: incident, request, change, problem, asset, and knowledge management. Maintain site SOPs, runbooks, and knowledge articles; drive ticket quality audits. Identify continual service improvement and automation opportunities to reduce onsite effort. Ensure compliance with security, safety, and data-handling policies. What You Bring 2-4 years in IT end-user / field services support. Working knowledge of incident, request, change, problem, and asset management. Hands-on experience with ITSM tools such as ManageEngine ServiceDesk Plus, ServiceNow, or BMC Remedy/Helix, including queue management, dashboards, and reporting. Strong technical background in Windows and macOS endpoints, M365, Active Directory / Entra ID, Okta, CrowdStrike, Webex, printers, mobile devices, and basic networking. Working knowledge of endpoint management tools such as SCCM/MECM, ManageEngine, Intune, or JAMF, including imaging with bootable USB media. Demonstrated ability to manage competing priorities, SLAs, and escalations under pressure. Excellent communication and stakeholder management skills with end users, VIPs, and client leadership. Valid driver's license and ability to travel between sites; ability to lift up to 50 lbs. Why Work With Us Be part of a dynamic team that values innovation and collaboration. Opportunities for professional growth and development. Work in a supportive environment where your contributions are recognized. Equal Employment Opportunity Pyramid Consulting, Inc. / Hoonr provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. By applying to our jobs, you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Job Description About the role DataAnnotation is looking for experienced bench scientists to evaluate how frontier AI models handle real laboratory work: experimental design, assay QC, troubleshooting a failed run, reading raw instrument output, deciding whether data are usable. You bring the judgment you have built at the bench. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a plate QC and go or no go call on a cell based assay, a flow panel gating review, a cloning strategy check, or a Western blot interpretation with the raw images, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic experimental biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (plate maps and reader output, instrument exports, gel and blot images, flow summaries, protocols and SOPs, notebook entries, QC records, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the QC summary, experimental plan, troubleshooting memo, or results workbook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right controls checked, the right wells excluded and the right diagnosis of a failed run, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: controls ignored or misread, edge effects and outliers missed, wrong normalization to a reference, a plausible sounding troubleshooting story the raw data contradict, fabricated values, ignored files, and off brief interpretation of the ask. Contribute across molecular and cell biology, protein biochemistry, immunology and flow cytometry, imaging and histology, microbiology and virology, in vivo and preclinical work, and laboratory operations and analytical sciences, and review and refine tasks built by other experts. Domain qualifications 3+ years designing and running experiments at a pharma or biotech lab or an academic research lab (counted after undergraduate education). Depth of experience in at least one of: molecular biology and cloning; cell culture and cell based assays; protein biochemistry; immunology and flow cytometry; imaging and histology; microbiology or virology; in vivo and preclinical work. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a protein biochemist who also understands how a cell based assay is set up and controlled, and how a flow panel is designed and gated), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have designed and troubleshot experiments, not only executed established SOPs. You can explain what each control is for and diagnose why a run failed. You generate and QC primary data. You can look at raw instrument output and judge whether a run is usable before anyone makes a figure from it. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.

Job Description About the role DataAnnotation is looking for experienced computational biologists and bioinformaticians to evaluate how frontier AI models handle real biological data analysis: differential expression, variant interpretation, single cell workflows, multiomics integration, statistical genetics. You bring the judgment to know when a result is real. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic analysis tasks drawn from your own practice, such as a QC and interpretation exercise on an RNA seq count matrix, a variant prioritization report, a batch effect diagnosis, or a pipeline audit, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic computational biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (count matrices, sample sheets and metadata, VCFs, pipeline logs and QC output, reference annotations, analysis notebooks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the analysis report, annotated table, figure set, or notebook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct analysis must contain, such as the right normalization, the right multiple testing correction and the right biological reading, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: batch effects and confounders ignored, wrong statistical test or uncorrected p values, misused reference or annotation version, silently dropped samples, fabricated results, code that does not do what the narrative claims, and off brief interpretation of the ask. Contribute across genomics and variant interpretation, bulk and single cell transcriptomics, proteomics and multiomics, statistical and population genetics, and machine learning applied to biology, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on analyzing real biological data in industry, an academic lab, or a research institute (lab or institute time counted after undergraduate education). You write, debug, and can explain your own analysis code in Python and/or R (strong proficiency in both preferred, at least one required). Depth of experience in at least one of: genomics and variant interpretation; bulk or single cell transcriptomics; proteomics, metabolomics, or multiomics integration; population and statistical genetics; machine learning applied to biology; clinical genomics; metagenomics or phylogenetics. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a genomics specialist who also understands transcriptomics pipelines and how machine learning is applied to biological data), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have independently owned a multistep analysis end to end, from raw or messy data, through cleaning and processing, to a final interpretation, rather than picking up a clean dataset mid pipeline. Familiar with reproducible research practices (notebooks, scripts, version control, workflow tools). You can judge whether a result is real and say what it means: normalization choices, batch effects and confounding, multiple testing correction, statistical power, and biological interpretation. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include biostatistics, computer science, or statistics when paired with substantial biological data experience. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.