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Location: Colombia Job Summary The Labeling Operations Manager (LOM), Associate provides operational support for the initial creation and relevant updates to labeling documents, including Core Data Sheets (CDS), United States Package Inserts (USPI), Summary of Product Characteristics (SPC) for products registered in the EU via Centralized, Mutual Recognition or Decentralized Procedures, and their associated Patient Labeling Documents. The LOM, Associate will be knowledgeable of labeling guidance and policies related to technical and formatting requirements, such as the QRD template and PLR format, and will raise awareness of important factors to consider when revising the label. The LOM, Associate provides project management to the Labeling Team throughout the labeling review and approval process through notification to stakeholders, ensuring that documents are produced in a timely manner according to internal SOPs and external regulatory requirements. This includes setting clear targets, ensuring Labeling Teams are aware of review and approval timelines, and following up with team members so deliverables remain on target for internal and external deadlines. Job Responsibilities Support the review and delivery of labeling documents and their associated Patient Labeling Documents. The LOM, Associate supports non-complex products and projects. Labeling Operations Manager - Associate 1 Provides operational support for project tasks, including: Prepare comparison tables for labeling team discussions. Generate necessary renditions, such as clean and marked PDF and clean and marked Microsoft Word, and bookmark renditions as appropriate. Facilitate document management workflows through the appropriate document management system. Finalize documents after QC. Notify internal stakeholders of the availability of labeling documents. Ensure compliance with Company submission standards, policies and procedures. Ensure all actions follow applicable SOPs and associated documents so that high-quality delivery and compliance are maintained. Labeling Operations Manager - Associate 2 (in addition to Associate 1) Provides operational support for simple projects, including: Consolidate comments from Labeling reviewers and Regulatory Authorities. Edit and format labeling documents and ensure compliance with the appropriate template, such as QRD or PLR. Update and maintain the CDS log. Set clear targets for review and approval timelines using effective project management. Follow up with Labeling Team members to ensure deadlines are met. Ensure appropriate tracking of labeling projects through defined procedures and optimal use of systems. Provide shadowing opportunities to Trainee LOMs. Qualifications / Skills Qualifications and skills necessary for performance of responsibilities, including education, relevant experience, licenses, certifications, and technical and managerial skills. Qualifications Education Bachelor's degree required, preferably in a science or life sciences-related field. 0-2 years of practical experience. Labeling Operations Manager - Associate 1 Experience and Attributes Excellent written and verbal communication skills. Complete fluency in English. Proven strength in logical, analytical and writing ability. Interpersonal and Communication Skills Clear and effective written and verbal communication skills. Technical Skills High attention to detail. Systems and Document Compilation Skills Excellent computer skills and proficiency with Microsoft Word and similar applications. Labeling Operations Manager - Associate 2 (in addition to Associate 1) Experience and Attributes Identifies and resolves problems proactively. Project Management Capability and Organizational Skills Demonstrated project management skills and attention to detail. Ability to assess and manage project timelines. Ability to multitask, prioritize and manage multiple projects. Ability to identify and resolve problems proactively. Appropriate decision-making, including issue escalation to the Global Labeling Lead (GLL) and other appropriate stakeholders. Interpersonal and Communication Skills Ability to liaise with stakeholders using effective means of communication. Technical Skills Ability to apply labeling regulatory guidance on formatting requirements. Ability to consolidate comments from multiple sources, such as emails and meeting minutes. Knowledge of labeling guidance and policies related to technical and formatting requirements, such as the QRD template and PLR format. Systems and Document Compilation Skills Excellent computer skills and proficiency with Microsoft Word and similar applications. Ability to prepare submission-ready documents. Organizational Relationships Provide the primary groups or key roles with which this role interacts regularly, including external interactions as appropriate. The Labeling Operations Manager, Associate reports to the Labeling Operations Manager, Team Lead.

Location: Mexico Job Summary The Labeling Operations Manager (LOM), Associate provides operational support for the initial creation and relevant updates to labeling documents, including Core Data Sheets (CDS), United States Package Inserts (USPI), Summary of Product Characteristics (SPC) for products registered in the EU via Centralized, Mutual Recognition or Decentralized Procedures, and their associated Patient Labeling Documents. The LOM, Associate will be knowledgeable of labeling guidance and policies related to technical and formatting requirements, such as the QRD template and PLR format, and will raise awareness of important factors to consider when revising the label. The LOM, Associate provides project management to the Labeling Team throughout the labeling review and approval process through notification to stakeholders, ensuring that documents are produced in a timely manner according to internal SOPs and external regulatory requirements. This includes setting clear targets, ensuring Labeling Teams are aware of review and approval timelines, and following up with team members so deliverables remain on target for internal and external deadlines. Job Responsibilities Support the review and delivery of labeling documents and their associated Patient Labeling Documents. The LOM, Associate supports non-complex products and projects. Labeling Operations Manager - Associate 1 Provides operational support for project tasks, including: Prepare comparison tables for labeling team discussions. Generate necessary renditions, such as clean and marked PDF and clean and marked Microsoft Word, and bookmark renditions as appropriate. Facilitate document management workflows through the appropriate document management system. Finalize documents after QC. Notify internal stakeholders of the availability of labeling documents. Ensure compliance with Company submission standards, policies and procedures. Ensure all actions follow applicable SOPs and associated documents so that high-quality delivery and compliance are maintained. Labeling Operations Manager - Associate 2 (in addition to Associate 1) Provides operational support for simple projects, including: Consolidate comments from Labeling reviewers and Regulatory Authorities. Edit and format labeling documents and ensure compliance with the appropriate template, such as QRD or PLR. Update and maintain the CDS log. Set clear targets for review and approval timelines using effective project management. Follow up with Labeling Team members to ensure deadlines are met. Ensure appropriate tracking of labeling projects through defined procedures and optimal use of systems. Provide shadowing opportunities to Trainee LOMs. Qualifications / Skills Qualifications and skills necessary for performance of responsibilities, including education, relevant experience, licenses, certifications, and technical and managerial skills. Qualifications Education Bachelor's degree required, preferably in a science or life sciences-related field. 0-2 years of practical experience. Labeling Operations Manager - Associate 1 Experience and Attributes Excellent written and verbal communication skills. Complete fluency in English. Proven strength in logical, analytical and writing ability. Interpersonal and Communication Skills Clear and effective written and verbal communication skills. Technical Skills High attention to detail. Systems and Document Compilation Skills Excellent computer skills and proficiency with Microsoft Word and similar applications. Labeling Operations Manager - Associate 2 (in addition to Associate 1) Experience and Attributes Identifies and resolves problems proactively. Project Management Capability and Organizational Skills Demonstrated project management skills and attention to detail. Ability to assess and manage project timelines. Ability to multitask, prioritize and manage multiple projects. Ability to identify and resolve problems proactively. Appropriate decision-making, including issue escalation to the Global Labeling Lead (GLL) and other appropriate stakeholders. Interpersonal and Communication Skills Ability to liaise with stakeholders using effective means of communication. Technical Skills Ability to apply labeling regulatory guidance on formatting requirements. Ability to consolidate comments from multiple sources, such as emails and meeting minutes. Knowledge of labeling guidance and policies related to technical and formatting requirements, such as the QRD template and PLR format. Systems and Document Compilation Skills Excellent computer skills and proficiency with Microsoft Word and similar applications. Ability to prepare submission-ready documents. Organizational Relationships Provide the primary groups or key roles with which this role interacts regularly, including external interactions as appropriate. The Labeling Operations Manager, Associate reports to the Labeling Operations Manager, Team Lead.

Задачи: — Identify and acquire new clients and prepare commercial proposals — Conduct negotiations with potential clients and partners — Represent the company at industry conferences and exhibitions, including meetings with clients and partners — Maintain ongoing communication and build strong relationships with clients — Conduct market and competitor analysis — Provide consultations and support to clients regarding our services — Collect and share market insights and client feedback with the Product team — Collaborate with the Marketing team on product positioning, sales materials, and lead generation activities Требования: — 5+ years of experience in B2B sales, with substantial experience in fintech and/or payments — Strong negotiation skills and a results-driven mindset — Proven ability to develop and execute client acquisition strategies — Solid understanding of payment infrastructure, including acquiring, PSPs, payment processing, and card schemes — English proficiency at Intermediate level or higher — Fluency in Russian is required — A technical background or degree would be a significant advantage Условия: — Remote work — Flexible start of the working day — This position is open exclusively to candidates based in Europe — The ability to travel freely across Europe to attend industry conferences, exhibitions, and business meetings is essential

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate 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: $34/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 Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Tamil language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required 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. 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. www.welocalize.com   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. 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.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate 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: $34/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 Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Marathi language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required 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. 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. www.welocalize.com   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. 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.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate 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: $34/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 Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Portuguese (Brazil) proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required 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.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate 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: $34/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 Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings 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. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required 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.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate 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: $34/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 Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings 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. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required 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.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate 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: $34/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 Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings 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. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required 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. 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. www.welocalize.com   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.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate 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: $34/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 Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings 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. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required 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. 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. www.welocalize.com   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. 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.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate 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: $34/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 Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings 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. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required 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.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate 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: $34/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 Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level French proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required 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. 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. www.welocalize.com   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. 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.

Location: Czech Republic Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is searching for a Labeling Artwork Controller - Consultant in Czech Republic for 12 months Contract with REMOTE option with possibility of extension to join one of our consumer product clients. Role Summary The Regional / Senior Artwork Controller is responsible for managing the end-to-end artwork development process (brief → final release) for packaging and labeling components within the region. This role ensures timely delivery of high-quality, compliant artwork by coordinating cross-functional teams and external vendors, while driving process improvements and maintaining operational excellence. This role combines hands-on execution with team supervision. Key Responsibilities: Manage the end-to-end artwork development process from initiation through approval and release, ensuring timely delivery of high-quality labeling components. Act as the primary liaison between PMO, Regulatory Affairs, Marketing, Packaging, Quality, Supply Chain, and external vendors/agencies. Validate briefs for accuracy and completeness; collaborate with cross-functional teams to resolve discrepancies. Oversee timelines, resource planning, and progress tracking for multiple concurrent labeling projects. Coordinate review and approval of labeling content and artwork in internal systems, ensuring compliance with regulatory, legal, and corporate standards. Drive process improvements related to artwork development, approval workflows, and digital tools. Investigate Root Cause Analyses (RCAs) and implement Corrective and Preventive Actions (CAPA) as needed. Maintain artwork issue logs and attend escalation meetings to provide updates. Identify inefficiencies and escalate to Hub Leads when required. Participate in content lock meetings to ensure stakeholder alignment. Manage Veraciti system-related issues and escalate appropriately. Suggest and implement technology solutions for artwork and labeling processes. Create, update, and maintain training documentation for systems and processes. Supervise Artwork Controllers to ensure task completion and provide support during peak periods. Onboard new hires on artwork management systems and end-to-end processes; conduct quarterly refreshers on best practices. Provide guidance on escalation channels and support SMEs, Artwork Process Leads, Vendors, and Hub Leads with artwork production deployment. Track and follow up on action items from cross-functional meetings. Communicate project status, risks, and milestones consistently to stakeholders. Attend regional project meetings (Kick-off, Overview, Alignment, Technical with Printer) and provide updates. Share project insights for dashboards and analytics; contribute to KPI reviews and compliance initiatives. Gather requirements for new regional jobs and assess resources requirements and provide job quotations when required. Conduct design-to-press color management assessments and feasibility consultations. Monitor and maintain regional project timelines and costs; anticipate and resolve roadblocks. Address process and executional quality issues; support system and process improvements. Manage ad-hoc artwork-related requests and cascade process/system communications. Qualifications & Experience: Bachelor’s degree in Life Sciences, Business, Packaging Technology, or related field; 10+ years in labeling design, proofreading, coordination, regulatory, packaging, and project management within consumer health, pharmaceutical, or medical device industries. Strong knowledge of global regulatory requirements for product labeling and packaging. Proven ability to manage multiple projects and cross-functional teams in a deadline-driven environment. Hands-on experience with PLM and electronic artwork systems (e.g., Agile, GLAMS, Loftware, Veraciti, Veeva). Expertise in Adobe Creative Suite (Illustrator, InDesign, Photoshop, Acrobat Pro). Familiarity with pre-press and print processes (CMYK, Pantone, dielines, bleed, etc.). Skilled in proofreading tools (e.g., TVT, GlobalVision, InformCC) and regulatory content validation. Six Sigma Green Belt certification or equivalent experience in continuous improvement. Excellent communication, problem-solving, and organizational skills. PMP certification or formal project management training is a plus. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives to all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. Keywords : Regulatory Affairs, Labeling, Artwork, packaging, consumer products #LI-PR1 #LI-REMOTE #Manager #Contract

Location: Italy Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is searching for a Labeling Artwork Controller - Consultant in Italy for 12 months Contract with REMOTE option with possibility of extension to join one of our consumer product clients. Role Summary The Regional / Senior Artwork Controller is responsible for managing the end-to-end artwork development process (brief → final release) for packaging and labeling components within the region. This role ensures timely delivery of high-quality, compliant artwork by coordinating cross-functional teams and external vendors, while driving process improvements and maintaining operational excellence. This role combines hands-on execution with team supervision. Key Responsibilities: Manage the end-to-end artwork development process from initiation through approval and release, ensuring timely delivery of high-quality labeling components. Act as the primary liaison between PMO, Regulatory Affairs, Marketing, Packaging, Quality, Supply Chain, and external vendors/agencies. Validate briefs for accuracy and completeness; collaborate with cross-functional teams to resolve discrepancies. Oversee timelines, resource planning, and progress tracking for multiple concurrent labeling projects. Coordinate review and approval of labeling content and artwork in internal systems, ensuring compliance with regulatory, legal, and corporate standards. Drive process improvements related to artwork development, approval workflows, and digital tools. Investigate Root Cause Analyses (RCAs) and implement Corrective and Preventive Actions (CAPA) as needed. Maintain artwork issue logs and attend escalation meetings to provide updates. Identify inefficiencies and escalate to Hub Leads when required. Participate in content lock meetings to ensure stakeholder alignment. Manage Veraciti system-related issues and escalate appropriately. Suggest and implement technology solutions for artwork and labeling processes. Create, update, and maintain training documentation for systems and processes. Supervise Artwork Controllers to ensure task completion and provide support during peak periods. Onboard new hires on artwork management systems and end-to-end processes; conduct quarterly refreshers on best practices. Provide guidance on escalation channels and support SMEs, Artwork Process Leads, Vendors, and Hub Leads with artwork production deployment. Track and follow up on action items from cross-functional meetings. Communicate project status, risks, and milestones consistently to stakeholders. Attend regional project meetings (Kick-off, Overview, Alignment, Technical with Printer) and provide updates. Share project insights for dashboards and analytics; contribute to KPI reviews and compliance initiatives. Gather requirements for new regional jobs and assess resources requirements and provide job quotations when required. Conduct design-to-press color management assessments and feasibility consultations. Monitor and maintain regional project timelines and costs; anticipate and resolve roadblocks. Address process and executional quality issues; support system and process improvements. Manage ad-hoc artwork-related requests and cascade process/system communications. Qualifications & Experience: Bachelor’s degree in Life Sciences, Business, Packaging Technology, or related field; 10+ years in labeling design, proofreading, coordination, regulatory, packaging, and project management within consumer health, pharmaceutical, or medical device industries. Strong knowledge of global regulatory requirements for product labeling and packaging. Proven ability to manage multiple projects and cross-functional teams in a deadline-driven environment. Hands-on experience with PLM and electronic artwork systems (e.g., Agile, GLAMS, Loftware, Veraciti, Veeva). Expertise in Adobe Creative Suite (Illustrator, InDesign, Photoshop, Acrobat Pro). Familiarity with pre-press and print processes (CMYK, Pantone, dielines, bleed, etc.). Skilled in proofreading tools (e.g., TVT, GlobalVision, InformCC) and regulatory content validation. Six Sigma Green Belt certification or equivalent experience in continuous improvement. Excellent communication, problem-solving, and organizational skills. PMP certification or formal project management training is a plus. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives to all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. Keywords : Regulatory Affairs, Labeling, Artwork, packaging, consumer products #LI-PR1 #LI-REMOTE #Manager #Contract

Location: United States JOB DESCRIPTION Job Title Senior Associate, Product Information/Claims Support (MA) Department Medical Affairs/Medical Affairs Responsibilities Primary Responsibilities: ·       Identify, plan and implement key projects to improve quality, reduce cost, increase productivity and improve cycle time resulting in significant business improvement and customer satisfaction. ·       Responsible for targeting completion of process improvement projects within a specified time frame while achieving a cost reduction goal. ·       Develop and co-ordinate the performance excellence / performance improvement vision and deployment planning as defined by the Executive Team. ·       Achieve buy-in from all decision makers for the successful application of performance excellence / performance improvement. Create team processes for optimizing results. ·       Actively lead projects and provide individual contributions after key projects have been identified. ·       Liaison with finance and other members of the organization in assessing, tracking and reporting the financial benefit of a Performance Excellence project. ·       Provide management with project status updates, feedback, and appropriate reporting on key responsibilities and objectives. ·       Development and Maintenance of Client Core Data Sheet CCDS, Core Safety Information (CSI) and high-quality scientific proof. ·       Perform compliancee checks, and Compilation and formatting of Dossiers ·       Review of source documents, GAP Analysis and providing regulatory contribution Prepare and Review SOP’s for writing Global Labelling documents ·       Provide therapeutic area (e.g. Pain, Digestive Health, Smoking Cessation or UR/Allergy) knowledge support and clarification of science as needed and contributes to research activities via scientific publications. ·       Conduct and evaluate literature searches and analyze scientific literature. ·       Create standard language for product information reference manuals including FAQs for new product launches, media issues, and publications. ·       Provide medical support in reviewing the printed packaging components, labeling, and compendia. ·       Collaborate with physicians as the medical representative on cross functional teams (copy clearance committees) to both marketed products and support to new marketed concepts for promotional and non-promotional pieces to ensure medical/scientific accuracy. ·       Participate in creation of medical training materials and programs that are used to support initial and ongoing training for new employees. ·       Train employees who require in-depth scientific/medical knowledge of relevant products/therapeutic areas and in support of local and regional speakers upon solicited request. ·       Create and develops strategically targeted information in response to published scientific literature, news media releases, marketing initiatives, product recalls, or new or highly publicized medical discoveries or information. ·       Contribute to research activities via scientific publications ·       Attend key medical/pharmacy professional meetings to gain knowledge related to therapeutic areas in relevant markets ·       Research educational and technical materials in support of local and regional speakers upon solicited request ·       Assist in generating basic periodic or aggregate safety reports, regulatory submissions, PSURs, annual reports, CCDS. ·       Support Investigator initiated studies including correspondence with investigators, researching the investigator site and facilitating review and approval of IIS proposals Secondary Responsibilities: ·       Effectively organize work to complete the assigned tasks to meet deadlines ·       Ensure the assigned tasks are delivered 100% on time or before ·       Demonstrate Quality of Work & Commitment through excellence in work, ensure correctness and completeness in deliverables with minimum OR no re-work ·       Support in review of work done by peer teammates, on need basis. ·       Alerts and escalates to senior members as required, whenever project deliverable risks are visualized, OR issues encountered impacting the delivery schedule ·       Ensure error free and acceptable quality in assigned deliverables ·       Responsible to ensure training compliancee and timesheet compliancee ·       Ensure that all assigned goals [e.g. utilization, quality and timeliness] are met as per set standards for the performance year ·       Follow and comply with the Company’s Code of Conduct, Policies, and Procedures, ·       Responsible for confidentiality, integrity, availability, and safeguarding of data, ·       Responsible for reporting of security incidents and PIMS breaches as applicable, ·       Comply with company QMS, ISMS and PIMS requirements and applicable regulatory requirements, ·       Demonstrate adherence and compliancee to PIMS/GDPR requirements as follows: processed fairly, transparently, and lawfully; collected for specified and legitimate purposes; adequate, relevant, and limited to the specified purposes; processed in a secure manner Skills and Qualifications ·       Bachelor’s degree in science or above and in alignment with project / business team requirements ·       Minimum of 3 to 5 years of relevant experience in identified functional domain/ business workstream ·       Minimum 4‐ 5 years in a pharmaceutical or consumer health care organization chemical raw material manufacturer or another FDA‐ regulated environment such as a medical device manufacturer. ·       Background in labeling / artwork management, in the personal products Must be detail-oriented to pick up inconsistencies or errors in material

О компании: Мы - международная технологическая компания в сфере iGaming. У нас собственная платформа для онлайн-развлечений, платёжная инфраструктура и лицензия. Запускаем направление White Label: продаём клиентам готовое решение "платформа + платежи + лицензия" под ключ. Продукт обкатан на наших собственных проектах, поэтому клиентам показываем работающие кейсы, а не демо. Кого ищем: Сейлзов с горящими глазами и опытом продаж в IT B2B, которые хотят много зарабатывать на крупных сделках. Опыт в iGaming не обязателен: продукт и рынок объясним сами, обучение ведут основатели компании. Задачи: — Самостоятельно искать лиды и выходить на потенциальных клиентов: операторов, медиабаинговые команды, партнёров — Вести outreach: LinkedIn, Telegram, email, звонки — Проводить встречи и презентации продукта, вести переговоры, закрывать сделки — Вести свою воронку продаж и регулярно показывать прогресс Требования: — Опыт B2B-продаж IT-продуктов от 2 лет: SaaS, платформы, IT-решения для бизнеса — Умение самостоятельно генерировать лиды и делать холодный outreach — Высокая активность и нацеленность на результат — Русский язык обязателен, английский на рабочем уровне — Готовность к командировкам в Европу будет плюсом Условия: — Оклад $2 000 — Бонус за каждую закрытую сделку — Испытательный срок 3 месяца — Полностью удалённая работа, локация не важна — Поддержка маркетинга: контент, публикации, упаковка продукта — Обучение напрямую от основателей компании Мы оцениваем работу по активности и прогрессу в воронке каждый месяц.

Location: Anywhere; Europe, Middle East, Africa, Asia-Pacific (EMEA, APAC) Workplace: Remote ABOUT US Circle is building the world’s leading AI-powered, all-in-one platform for digital businesses. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand. We’re proud to be a fully remote company of around 270 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot. Twice a year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come! Check out our Careers https://careers.circle.so/ page for more about working at Circle. ABOUT THE ROLE The AI Quality engineering team at Circle owns the foundation for measuring, diagnosing, and improving the quality of Circle's AI-powered features. This team focuses on building the infrastructure to measure, diagnose, and improve production AI systems, rather than ML research or model training. We're looking for a Lead Engineer to help us build out the evaluation frameworks, observability tooling, and diagnostic infrastructure that tell us whether our AI Agents are working well, where to improve them, and how to make them faster and more cost-efficient. This is a hands-on player-coach role. You’ll also lead and manage the AI Quality engineering team, with an ambitious and growing roadmap. If you're excited about making AI systems work reliably, efficiently, and at scale, this is for you. WHAT YOU'LL BE DOING - Build and own our evaluation infrastructure. Design the CI/CD pipelines, scorers, and datasets that tell us whether Circle's AI agents (planners, tool-callers, and sub-agents) are actually working, from a single tool call to a full multi-turn conversation. - Diagnose exactly where quality breaks down. Trace failures across the agent pipeline including plan creation vs. execution, tool selection, tool trajectory in complex areas like workflows, site builder, and analytics. Turn what you find into prototypes that solve the issue or identify priorities for AI core engineering can help. - Grow the datasets that make evaluation possible. Stand up annotation workflows and build out AI-generated and simulated conversations so we can cover more of the product faster than manual labeling alone. - Run structured experiments across prompts, models, and the agent harness. Evaluate new and open-source models against our production baseline, build the framework we use to decide when to shift models, and chase cost and latency wins through model swaps, caching, and routing by plan complexity. - Lead and grow the AI Quality engineering team. Set technical direction and manage day-to-day priorities, all while staying hands-on in the code yourself. - Partner closely with AI Core engineering. Work with the engineers building Circle's AI products so they have real confidence that their changes are actually improving quality, not just shipping. WHAT YOU'LL NEED TO BE SUCCESSFUL - 7+ years of experience building and shipping production software, ideally including LLM-powered agents that take real actions in a product. You've worked on complex, tool-using systems (multiple tools, planning or orchestration, sub-agents) not just simple, single-turn assistants, and you can walk us through something you shipped and how you knew it was actually working. - Comfortable in Ruby on Rails / Python or ready to pick them up quickly. Ruby on Rails is our production system and the foundation that Circle’s AI Agents are built on and proficiency in Python is a strong plus, especially for the data and evaluation side of the work. - Experience building evaluation or observability infrastructure for ML/AI systems. You've built eval pipelines, scorers, dashboards, or CI/CD for evals before and have experience with evaluation frameworks like Braintrust, LangSmith, or similar. - Experience designing datasets, annotation workflows, or labeling pipelines for ML/AI evaluation. You know how to turn raw examples into a dataset you can trust through human annotation, AI-generated data, or simulation. - Learn fast, experiment aggressively, and thrive in a highly dynamic environment. You’ll need to be comfortable running a lot of experiments and letting the results settle the argument, including the ones that don't work (which will be many of them in the beginning). - Comfortable in a fast-paced environment with ambiguity. You’ll need to learn and pick up new technologies when projects require it. - Strong alignment with our company values https://circle.so/careers. - You are proficient in English (spoken, written, and reading) at a CEFR Level C2 https://magoosh.com/english-speaking/english-proficiency-levels-a-guide-to-determining-your-level/ / ILR Level 5 https://www.govtilr.org/.   COMPENSATION & BENEFITS Circle offers U.S.-benchmarked compensation globally, equity in the company with ongoing refresh grants, and 35 days of paid time off each year. We’re a remote-only team that comes together twice a year for company retreats in incredible destinations around the world. Alongside incredible flexibility and autonomy, we offer a benefits package that supports health, wellbeing, and professional growth. Learn more in our Candidate Hub. https://circleco.notion.site/circle-candidate-hub LEARN MORE - Candidate Safety & Interview Process Notice https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e5b681c4d56b962790 - Diversity, Equity & Inclusion https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a8e3ff5c25a1d93ba - How We Use Candidate Data https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e49e98f390eec6bb51 - Equal Employment Opportunity https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a967dea67e68f31f0 - Visit our Candidate Hub https://circleco.notion.site/circle-candidate-hub to learn more about working at Circle, our benefits, and our hiring process.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ WHY WE ARE HIRING ⭐️ We’re opening an Enterprise Sales Team Lead role in France to lead a growing team of 4 Senior Account Executives, who are in charge of acquiring customers with more than 3,000 employees, including all CAC40 companies. In this role, you will own acquisition on the Enterprise segment in France and run the business end‑to‑end: you will be hands-on on the field while coaching and scaling a team of Account Executives to win this market. This position sits at the heart of our growth ambition: We have just passed the one million member milestone – and this is only the beginning! We’re accelerating acquisition in France and doubling down on our portfolio — and the Enterprise segment is one of the core pillars of that plan. ABOUT THE ENTERPRISE SEGMENT - Perimeter: companies of 3000+ employees - Verticals: all Verticals (Tech, Retail, Industrial Companies etc) - Total Addressable Market: ~7M members in France WHY ENTERPRISE SALES IS EXCITING AT ALAN - Diverse workforce: Mix of 60% cadres / 40% non-cadres, often with subsidiaries or multi-site operations, ranging from highly tech-savvy employees to those requiring digital adoption support. - Critical challenges: Multi-stakeholder decision processes involving HRD, CFO, CEO, Payroll, CSE, Legal, Purchasing, Comp & Ben, Accounting, Brokers, Unions, long sales cycles (multi-year conversations), RFP processes requiring deep audits and product customization, and strong influence from unions/CSE who can co-manage health insurance topics; - Company profiles: Flagship companies (widely known brands), groups with standalone entities or subsidiaries, often with focus on employee wellbeing (QVT programs, Great Place to Work), modern company culture, and strategic communication about digitization or employer brand attractiveness; - HR priorities: Increasing productivity, obtaining fair and competitive pricing, contributing to employee well-being through customized health plans, simplifying HR processes with digital platforms, and managing change management concerns when implementing new health insurance (biggest fear for large companies) - Critical business characteristics: This segment requires breadth & depth of expertise to navigate complex organizations, account-based strategies with Key Account Management approach, early engagement in company roadmaps, face-to-face meetings, co-creation of insurance and digital products (tailored offers considering past results, specific regimes, demographics, payroll system integration), and ability to work through RFPs and with brokers. Sales cycles are volatile with high stakes: 1 deal = 50% of annual target for Enterprise Account Executives. Our approach for Enterprise companies positions Alan as a strategic partner in health rather than just an insurance provider, emphasizing our digital platform for fluid UX, customized health plans at fair pricing, and health/well-being services. Success requires leveraging high-level connections, building professional materials, and potentially creating exclusive "Health Clubs" or labels for early adopters. ⭐ WHAT YOU WILL DO ⭐ You will be the Sales leader of the Enterprise Sales team in France, responsible for both hitting the numbers and scaling the machine. More precisely, you will: - Own the Enterprise acquisition plan in France. Design and execute the go‑to‑market strategy for 3000 employee customers, from targeting to closing, to reach ambitious acquisition targets and scale the segment. - Lead & coach a team of 4 Account Executives (and likely more to come) - Drive hiring, onboarding, and career development as we scale the crew and the segment. - Help each team member reach their targets with clear expectations, rigorous follow‑up, and ongoing coaching on methodology, deal execution, and pipeline management. - Be on the field with the team: prospecting, joining key meetings, supporting tough negotiations, and owning strategic opportunities to maximize win rates. - Empower every member of the team: Create the conditions for everyone to reach and exceed their goals: strong feedback culture, coaching, clear ownership, and autonomy. - Ensure market fit and remove blockers: Surface customer expectations, patterns, and blockers, and ensure they’re addressed through the right strategic and execution plans (product, pricing, ops, marketing, etc.). For this opportunity, we are aiming to hire within the F-G level range https://alan.com/en/careers/a/salary-equity. ⭐ IS IT WHAT YOU ARE LOOKING FOR? ⭐ You may be a great fit at Alan if you: - Have at least 10 years experience in B2B sales, with a proven track record of hitting and exceeding targets as an Account Executive and Sales Leader - Have experience leading and coaching sales teams, with the ability to set a high bar, give clear direction, and help people grow - Have full working proficiency in French, and advanced level in English for internal communication - Have a very hands‑on mentality: you love being on the field with your team, joining customer meetings, helping on tough negotiations, and sharing what works - Have experience selling to Enterprise level companies (3000+ employees and above) in multi‑stakeholder deals - Are comfortable operating in fast‑paced, ambiguous environments, and can prioritize ruthlessly - Are data‑driven and analytical: you know how to leverage KPIs to drive performance, run analyses, and make decisions - Have strong cross‑functional collaboration skills and appetite for building things with others (sales ops, marketing, etc.) - Are based (or willing to relocate to) the Paris area Nice-to-have: - Experience selling to HR or Finance . 🙌   PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.  Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary, for permanent contracts only. - Flexible Office. Amazing office space at our Paris HQ - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance. Extremely comprehensive health insurance - 100% of the contribution covered by Alan for you and your family, for permanent contracts only. - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Parental leave. Extended parental leave for all new parents, for permanent contracts only. IMPORTANT NOTE: WE HIRE PEOPLE NOT ROLES.  After reading this job description, if you feel like you don’t have all the necessary prerequisites but that it matches where you are now or what you'd like to grow into in your next position, we encourage you to apply! Not everybody will enter our recruitment process, but all, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.