French Data Quality Analyst(Human-in-the-Loop AI) at Welocalize

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Oct, 26

Salary

38.0

Posted On

13 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

French Proficiency, Data Annotation, Quality Assurance, Content Quality, AI/ML Data Workflows, Human-in-the-Loop Evaluation, Auditing, Project Coordination, Training and Coaching, Policy-driven Content Evaluation, Critical Thinking, Attention to Detail

Industry

technology;Information and Internet

Description

Overview 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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame. 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 Contract Duration: 1-year contract with possibility of extension 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 French proficiency and a university degree (Bachelor’s or higher). 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.

Responsibilities

Audit data labeling outputs and provide actionable feedback to ensure high accuracy and consistency. Support the onboarding and training of Data Labeling Associates while monitoring workflows to escalate risks to team leads.