2320 jobs found

Job Description Job Description Electrical Engineering & Computer Science Patent Prosecution Patent Agent or Associate Multiple U.S. Offices Locations: Atlanta, GA Denver, CO Houston, TX Kansas City, MO Phoenix, AZ San Francisco, CA Seattle, WA St. Louis, MO Washington, DC Preference for Washington, DC or San Francisco. Salary: $140,000-$260,000 + Bonus + Comprehensive Benefits Direct Counsel represents an AmLaw 100 firm seeking an experienced Patent Agent or Patent Associate to join its nationally recognized Electrical Engineering & Computer Science Patent Prosecution practice. This is an outstanding opportunity for professionals with 3+ years of patent prosecution experience who are passionate about protecting cutting-edge technologies in artificial intelligence, semiconductors, robotics, and advanced computing. Key Responsibilities Draft, file, and prosecute U.S. and international patent applications. Manage patent portfolios for innovative technology companies across a diverse client base. Prepare high-quality patent applications involving: Graphics Processing Units (GPUs) Tensor Processing Units (TPUs) AI accelerators and neural engines Robotics circuitry and actuators Electrical engineering and software technologies Work closely with inventors and in-house counsel to develop strategic patent protection. Qualifications 3+ years of patent preparation and prosecution experience. Bachelor's or advanced degree in: Electrical Engineering Computer Engineering Software Engineering Computer Science Physics Mathematics Strong academic credentials with excellent technical, writing, and communication skills. Prior law firm, engineering, or industry experience preferred. USPTO registration required for all candidates. JD and active state bar admission required for Patent Associate candidates. Compensation & Benefits Salary: $140,000-$260,000, depending on experience. Discretionary performance bonus. Comprehensive benefits package including medical, dental, vision, life and disability insurance, 401(k), and paid time off. Application Requirements Qualified candidates should submit a resume, cover letter, undergraduate transcript, law school or graduate transcript (if applicable), and a writing sample (preferably a patent application).

Job Description Job Description BGIS is looking for a Data Center Hardware Remediation Technician to join the team, McCarran, NV . BGIS is a leading provider of integrated real estate management services, including facilities management, project management, energy & sustainability services, strategic workplace consulting, real estate services and capital planning. Its range of solutions, supported by efficient systems, processes and people, enables it to create and optimize places that work for its clients. The team is dedicated to inspiring better business performance and helping clients focus on their core businesses. The Data Center Hardware Remediation Technician is responsible for basic hardware troubleshooting of server hardware and configuration. This role will work out of a ticket queue and resolve server issues by priority. RESPONSIBILITIES Perform physical hardware remediation (Break/Fix) Provide hardware upgrade support. Confirm hardware issues are fixed after on-site fixes are completed. Perform onsite configuration of server remote management interface (iLo/BMC/Drac) as required. Work out of a ticket queue where you'll be working tickets based on priority to resolve logical and physical server issues. Responsibilities may require working evenings and weekends, sometimes with little advanced notice (minimal) May be required for on-call after hours. Effectively utilizes the ticket management system. This is not a remote support position but requires reporting to a data center location. Other duties as assigned. REQUIRED EDUCATION, KNOWLEDGE, and ABILITIES Experience with remote console / server management technologies - BMC/iLo/iDrac/Cyclades/etc. Ability to effectively communicate with customers, technicians and vendors. Ability to prioritize a large number of tickets and work independently in order to bring them to a resolution. Experience working with hardware from multiple vendors. Experience working within a ticketing system: Remedy, ServiceNow, etc. Work experience in a large data center Knowledge of RAID controller and configuration a plus High level of written and oral fluency in English Excellent verbal and written communication Must be able to multi-task. Must be able to adapt to changing priorities, conditions, and circumstances. Must be punctual and reliable. Must have good organization, interpersonal, and time management skills. Proficiency working with standard PC tools and applications such as MS Office, MS Outlook, web browsers, etc. Physical Demands and Work Environment To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions, absent undue hardship. Visit us online at for more information. Our company culture includes a robust mix of sound business practices and employee initiatives that promote personal and professional development, work/life balance, health and wellness and community involvement. The Company is an equal opportunity employer. We believe every employee has the right to work in surroundings that are free from all forms of unlawful discrimination. We are committed to providing equal employment opportunity to all employees and applicants without regard to race, color, religion, gender, national origin, age, disability, ancestry, creed, marital status, sexual orientation, or Veteran or military status, genetic information or any other basis prohibited by local, state or federal law in the relevant jurisdiction. This policy applies to all terms and conditions of employment including, but not limited to employment, advancement, assignment, and training. BGIS is committed to strengthening our diversity through recruiting and retaining minority and women professionals from all backgrounds. Our commitment is consistent with our recognition that it is the outstanding people within BGIS who the source of our strength has always been. We recognize that promoting diversity is an integral component of our continuing quest for organizational excellence. This commitment to Equal Employment Opportunity is made equally as a social responsibility and as an economic and business necessity. Anyone with questions or concerns regarding Equal Employment Opportunity should contact their direct supervisor or the Human Resources Department without fear of retaliation of any kind. The salary range for this non-exempt position in the US is $27-28 an hour. A candidate's salary offer is determined by various factors including, but not limited to, relevant work experience, knowledge, skills, abilities, education, certifications, licenses, and location. BGIS offers a comprehensive benefits package including medical, dental, vision, prescription coverage, health savings account, flexible spending account (both healthcare and dependent), 401(k) with a Company match, Paid Time Off, paid company holidays, short term and long-term disability, life insurance, employee assistance program, tuition reimbursement, paid parental leave, gym membership discount and team member referral bonus. Our dedication to the principle of pay equity is steadfast. We believe in equal pay for work of equal value. Responsibilities for Internal Candidates Company Description BGIS is a leading provider of integrated real estate management services, including facilities management, project management, energy & sustainability services, strategic workplace consulting, real estate services and capital planning. Its range of solutions, supported by efficient systems, processes and people, enables it to create and optimize places that work for its clients. The team is dedicated to inspiring better business performance and helping clients focus on their core businesses. With over 20 years of experience, we employ over 5,000 skilled professionals and manage in excess of 56 million square meters of property and infrastructure, and delivers services that drive sustainable cost reductions for its clients. BGIS' s clients benefit from the combined strength, expertise and leadership. When you join our team, whether as a seasoned professional or a recent graduate, you're joining an industry-leading company that makes a difference in our communities, drives innovation through best practices and technology, and takes pride in being one of Canada's Green 30 companies since 2010. We have been recognized by GI Jobs Magazine for Military Friendly 2017 and 2018, along with being the recipient of the 2018 Hire Vets Gold Medallion via the U.S Department of Labor. Visit us online at for more information. Company Description BGIS is a leading provider of integrated real estate management services, including facilities management, project management, energy & sustainability services, strategic workplace consulting, real estate services and capital planning. Its range of solutions, supported by efficient systems, processes and people, enables it to create and optimize places that work for its clients. The team is dedicated to inspiring better business performance and helping clients focus on their core businesses. With over 20 years of experience, we employ over 5,000 skilled professionals and manage in excess of 56 million square meters of property and infrastructure, and delivers services that drive sustainable cost reductions for its clients. BGIS' s clients benefit from the combined strength, expertise and leadership. When you join our team, whether as a seasoned professional or a recent graduate, you're joining an industry-leading company that makes a difference in our communities, drives innovation through best practices and technology, and takes pride in being one of Canada's Green 30 companies since 2010. We have been recognized by GI Jobs Magazine for Military Friendly 2017 and 2018, along with being the recipient of the 2018 Hire Vets Gold Medallion via the U.S Department of Labor. Visit us online at for more information.

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level Spanish language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level Turkish language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level Portuguese (Portugal) language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level German language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level Portuguese (Portugal) language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level Italian language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company's products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we're building an AI-native culture. We're not waiting for the future; we're creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what's possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn't been invented yet, you'll fit right in. THIS IS A GENERAL POSTING NOT TIED TO A SPECIFIC ROLE Industrial Design Opportunities At SharkNinja, our purpose is to positively impact people's lives every day in every home around the world. We work hard to provide our consumers with high quality and innovative products. We are passionate about user experience and we are looking for great people with great ideas who can think outside the box and love pushing the boundary of what is possible and make an impact. Join us on our exciting journey and let's shape the future of our product experiences together. OVERVIEW: At SharkNinja, we believe exceptional design is not just about solving problems-it's about creating experiences that surprise, delight, and improve lives. We're looking for a Senior Industrial Designer who thrives on innovation, obsesses over detail, and isn't afraid to push beyond convention. In this role, you'll take full ownership from concept through production - leading the design of high-impact consumer products that are beautiful, elegant, and purposeful. You'll be a key player in a fast-moving, agile environment, driving creative vision and execution while collaborating with cross-functional teams to overcome challenges and deliver premium, market-ready solutions. We want a designer who brings a growth mindset, thrives in ambiguity, and is energized by turning complex constraints into world-class product experiences. Please provide a copy of your resume and portfolio. RESPONSIBILITIES OF THE ROLE OF SENIOR INDUSTRIAL DESIGNER: OWNERSHIP FROM CONCEPT TO MARKET Drive the full design process from initial ideation to mass production, owning both creative vision and execution quality. Translate insights into meaningful, innovative solutions that elevate user experience and deliver on business goals. Deliver compelling visual storytelling through sketches, CAD, renderings, and presentation decks. ELEVATE DESIGN QUALITY & USER EXPERIENCE Set the bar for design craft - proportion, surface, and detailing that communicates premium design intent. Partner with UI/UX, CMF, and cross-functional teams including Product Development, Engineering, and Quality to ensure every detail meets standards for usability, performance, and aesthetic excellence. Deliver clean, manufacturable CAD and prototypes that reflect an obsession with fit, finish, and user delight. DESIGN FOR MANUFACTURING WITHOUT COMPROMISE Collaborate closely with global engineering and manufacturing partners to solve complex challenges with creative, elegant solutions. Navigate constraints without sacrificing design quality - ensuring the final product stays true to the original vision while meeting cost, tooling, and production requirements. Balance speed and execution quality to ensure efficient handoff and successful mass production. PUSH CREATIVE BOUNDARIES Introduce breakthrough ideas that challenge category norms and expand our design language. Stay ahead of materials, trends, and emerging technologies to drive bold, future-forward solutions. Inspire the team with new thinking, fearless creativity, and a drive for excellence. COLLABORATE TO WIN Work fluidly with Engineering, Marketing, and Product teams to iterate quickly and land aligned, high-quality outcomes. Lead brainstorms, concept sprints, and reviews with confidence and clarity. Mentor junior designers, helping raise the creative bar across the team. QUALIFICATIONS BA/BS in Industrial Design or a closely related field (MS preferred) 5+ years of experience designing physical products in consumer, lifestyle, or tech categories Proven ability to work independently and own the full development process with minimal supervision Proven track record of delivering products through production Strong analytical thinking that leads to creative, elegant, and innovative solutions Expert in 2D and 3D tools (Sketching, Adobe Creative Suite, SolidWorks/Rhino, Keyshot) Strong storytelling and visualization skills with a portfolio that demonstrates concept-to-launch execution Highly skilled in maintaining design quality under pressure-balancing speed, detail, and excellence Deep understanding of materials, part design, manufacturing processes, and DFM Strong communication and collaboration skills, both verbal and written Excellent team player who thrives in fast-paced, agile, and cross-functional environments Ability to manage multiple priorities and meet deadlines with high execution quality Salary and Other Compensation: The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more. Pay Range $82,500-$166,800 USD Our Culture At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. Together, we won't just launch products-we'll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinja Outrageously Extraordinary SharkNinja Candidate Privacy Notice For candidates based in all regions, please refer to this Candidate Privacy Notice. For candidates based in China, please refer to this Candidate Privacy Notice. For candidates based in Vietnam, please refer to this Candidate Privacy Notice. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level Turkish language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level Spanish language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description FocusKPI is seeking a Sr. R elease Manager to join one of our clients, a high-tech SaaS company. To ensure that the various component projects of a particular software release meet customer needs and are brought together and released on time with high quality, and that the overall release reflects the best choices among scope, costs, and time for the company. Work Location: Mountain View, CA (Onsite role, 5 days/week) Duration: 12-month contract with a possibility of extension depending on your performance Pay Range: $120 - 139/hr Responsibilities: Work with project managers, development teams, and system administrators through the development, evaluation, testing, and launch phases of the software development life cycle. Configure and release software application updates to QA and production environments. Collect and provide ongoing project feedback to the change management organization. Recommend process improvements as an alternative to rolling out tools and processes. Develop reporting tools and an information repository to measure conformance to processes and tool utilization through monthly metrics. Lead and direct collaborative efforts to develop release and development management standards. Define, roll out, and ongoing project management for professional provided services. Identify new tools and technologies to develop release streams and builds. Assist in making Configuration Management processes more reliable, efficient, and cost-effective. Perform routine project activities required to manage releases across test, production, and other environments. Manage and comply with the release schedule and main release milestones throughout programs. Search and report product release dependencies throughout projects. Help cross-program planning to oversee dependencies and solve conflicts. Lead impact evaluation based on project date changes and communicate results. Actively conduct and influence program development, management, testing, and operations on release and development processes. Responsible for leading all release-related matters which span across multiple projects while handling changing priorities and tight deadlines. Support global Bixby releases for all device targets and locales, working with DevOps and the global release management team Build and track processes to ensure releases are efficient and effective in accordance with the development schedule Qualifications: 10+ years of experience working closely with engineering teams 10+ years of release management experience and/or 10 years of software release/configuration management experience Bachelor's Degree in Computer Science or equivalent combination of technical education and work experience Master's degree in a related Engineering discipline; MBA a plus Needs to be a senior release manager with demonstrable depth in release orchestration - multi-region and phased rollout, version consistency, rollout pause, and hotfix-forward as well as rollback. Self-motivated individual with the ability to thrive in a team-based or independent environment . Detail-oriented with strong organizational skills. Data-driven decision-making - can name the technical, functional, and business signals behind a go/no-go call, not just the approval process. Hands-on technical ability - log-based triage and root cause analysis, plus enough scripting to build or maintain automation. Experience with standard third-party tooling ( Jira, Confluence, GitHub/GitHub Actions ) rather than primarily proprietary internal systems. Consumer device exposure associated with cloud release, which constitutes global/multi-region rollout experience. Ability to work in a fast-paced environment. Limited supervision and the exercise of discretion. Well-versed in understanding software product development and release processes for complex, large-scale software Program management background with accountability for quality and product release. Release Management and/or background in testing and/or prior experience in product management. Experience in various agile and hybrid methodologies and continuous integration . Experience building processes, project management, and release schedules on a global scale. Global and multi-time-zone release coordination. PMP Certification Thank you! FocusKPI Hiring Team Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts. NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out email domain. If you have received fraudulent emails now or in the past, please report it to . The is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone Powered by JazzHR 13f1L8Htu2

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level Italian language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level German language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level Turkish language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.