281 jobs found

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description Job Title: Healthcare Data Engineer - Real-Time & Cloud Platforms Location: Nashville, TN ( Onsite from day 1 ) Duration: 6+ Months Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data Lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Work Authorization Applicants must be legally authorized to work in the United States. Equal Employment Opportunity Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description Job Summary In this dynamic role, you will join a top-tier team of Information Technology and Analytic professionals dedicated to supporting national security through innovative data science and analytics. You will work in a self-contained Big Data environment where the team manages everything from infrastructure and application development to advanced analytics. This position offers numerous opportunities for growth, collaboration, and problem-solving in a thought-provoking, mission-driven setting. Responsibilities Working with large, complex, and disparate data sets Designing and implementing innovative ways to analyze and exploit the Sponsor's data holdings Researching and reporting on a wide variety of Sponsor inquiries Raising proactive inquiries to the Sponsor based on observations and proposed data analysis/exploitation Solving difficult, non-routine problems by applying advanced analytical methodologies, and improving analytic methodologies Developing custom searches Participating in threat hunting and/or developing advanced, novel detection mechanisms to counter malicious actors Qualifications Thorough knowledge of appropriate analytic tools and methodologies in one or more of the following: Applied mathematics (e.g. probability and statistics, formal modeling, computational social sciences) Computer programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing) Ability to code or script in one or more general programming language Experience with, and understanding of, algorithms for classification, regression, clustering, and anomaly detection Knowledge of relational databases, including SQL and large-scale distributed systems (e.g. Hadoop) Expertise with statistical data analysis (e.g. linear models, multivariate analysis, stochastic models, sampling methods) Demonstrated effectiveness in collecting information and accurately representing/visualizing it to non-technical third parties Desired Experience working in a mission environment and/or with many different types of data Familiarity with building MVP/Prototype data engineering pipelines to support novel analytics Experience in signature development, threat hunting, and/or threat modeling Background in computer network operations, particularly network defense and/or exploitation