Project Perseus | Data Quality Analyst - French Speakers (Human-in-the-Loop AI)

Job description

Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. **Project Details** - **Job Title:** Data Quality Analyst - **Hiring in:** NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston - **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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. ### What You’ll Do - Support quality and execution across DLA teams, ensuring work meets defined standards at scale - Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency - Act as the first line of support for DLAs — answering questions and helping interpret guidelines - Help DLAs navigate ambiguity and apply evolving instructions effectively - Support onboarding and training of new DLAs through hands-on guidance and coaching - Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads - Identify patterns, recurring issues, and edge cases in both human and model outputs - Participate in calibrations, team discussions, and stakeholder syncs - Contribute to improving guidelines, processes, and overall team performance - Document findings and feedback in a clear, concise, and actionable way ### What We’re Looking For - **Native-level language proficiency** and a **university degree** (Bachelor’s or higher). - B2 or superior level of English. - 2–4 years of experience in data annotation, content quality, QA, or related fields - Strong ability to interpret and apply complex guidelines with consistency - Excellent attention to detail with a high bar for quality - Ability to stay consistent while working with evolving guidelines and priorities - Experience in AI/ML data workflows or human-in-the-loop evaluation environments - Prior experience auditing or reviewing the work of others - Familiarity with safety, compliance, or policy-driven content evaluation ### Benefits - Paid Vacation: 6 days - Paid Company Holidays: 2 days (Memorial Day and Labor Day) - Paid Sick Leave: accrued per applicable state law and company policy - Medical, Dental, and Vision Insurance (eligibility applies) - Health Savings Account (HSA) - 401(k) Retirement Plan - Employee Assistance Program - Additional voluntary benefits (life, accident, critical illness, etc.) - Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. - Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. - Unique Campus Features: Some locations include roof-top nature parks - Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.