Project Perseus | Data Labeling Associate - French Speakers (Human-in-the-Loop AI) at Welocalize
**Who this is for** This role is for individuals who are detail-oriented, curious about AI, and possess native-level French proficiency. It's an entry-level pos
Work type: onsite
Location: California | Sunnyvale, CA | San Francisco, CA | Seattle, WA | Redmond, Washington | Burlingame, CA | New York City Metropolitan Area
Salary: $32/hr
Type: Full-time
Summary
**Who this is for** This role is for individuals who are detail-oriented, curious about AI, and possess native-level French proficiency. It's an entry-level position focused on evaluating and improving AI system outputs, rather than traditional annotation.
**Key highlights** You will work directly with cutting-edge AI, providing critical feedback to enhance its real-world performance. The role emphasizes critical thinking, structured writing, and contributing to the evolution of evaluation frameworks.
**You might be a good fit if you...**
- Have native-level French proficiency and a university degree.
- Possess B2 or superior English proficiency and 1-2 years of professional writing experience.
- Are naturally curious about AI and technology, with strong critical thinking skills.
- Can make sound judgment calls in ambiguous situations and communicate insights clearly.
Job Description
### Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Quality Analysts.
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: 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)
## 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 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 Sick Time & Paid Holiday (combined): 15 days
- Paid Holidays: Memorial Day and Labor Day
- Medical, Dental, and Vision Insurance (eligibility applies)
- Health Savings Account (HSA)
- 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.
### OverviewWelo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Quality Analysts.
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: 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)
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