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

First Roles; Boston (MA); On-site; USD 112,000 - 137,000; Full time

Benefits offered by this job

Medical Insurance

Dental & Vision Insurance

401(k) Retirement Plan

Paid Vacation

Job summary

Welo Data in Boston, MA is seeking a Data Quality Analyst (French Speakers) to join the Human-in-the-Loop AI team. This onsite role supports DLA teams, audits outputs, and provides guidance to ensure high-quality data for AI systems.

Candidates should have native French and at least a bachelor’s degree, plus 2–4 years in data annotation, QA, or related fields. The position offers a full-time W2 arrangement with comprehensive benefits.

Qualifications

• Native-level language proficiency in French and university degree.
• 2–4 years of experience in data annotation, QA, or related fields.
• Strong ability to interpret and apply complex guidelines consistently.
• Excellent attention to detail with a high bar for quality.

Responsibilities

• Support quality and execution across DLA teams, ensuring standards at scale.
• Audit outputs and provide actionable feedback to improve accuracy and consistency.
• Act as first line of support for DLAs — answer questions and interpret guidelines.
• Help DLAs navigate ambiguity and apply evolving instructions.
• Onboard and train new DLAs through guidance and coaching.
• Monitor workflows, queues, and blockers; escalate risks and gaps.

Skills

French language proficiency

English proficiency

Data annotation

QA experience

Attention to detail

Guideline interpretation

Education

Bachelor’s degree or higher

Tools

AI/ML data workflows

Data annotation tools

Job description

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

Welo Data

Boston, Massachusetts

$124,890 per year - estimated

Important: This is a 100% onsite position — remote work is not available for this role.

Project Details

• Job Title : Data Quality Analyst
• Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent)
• Hours : Full-time, 40 hours per week
• Employment Type: W2 Full-Time Employee
• Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship)
• Pay Rate: $38/hour

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.

What You’ll Do

• Support quality and execution across DLA teams, ensuring work meets defined standards at scale
• Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
• Act as the first line of support for DLAs — answering questions and helping interpret guidelines
• Help DLAs navigate ambiguity and apply evolving instructions effectively
• Support onboarding and training of new DLAs through hands‑on guidance and coaching
• Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
• Identify patterns, recurring issues, and edge cases in both human and model outputs
• Participate in calibrations, team discussions, and stakeholder syncs
• Contribute to improving guidelines, processes, and overall team performance
• Document findings and feedback in a clear, concise, and actionable way

What We’re Looking For

• Native‑level language proficiency and a university degree (Bachelor’s or higher).
• B2 or superior level of English.
• 2–4 years of experience in data annotation, content quality, QA, or related fields
• Strong ability to interpret and apply complex guidelines with consistency
• Excellent attention to detail with a high bar for quality
• Ability to stay consistent while working with evolving guidelines and priorities
• Experience in AI/ML data workflows or human-in-the-loop evaluation environments
• Prior experience auditing or reviewing the work of others
• Familiarity with safety, compliance, or policy‑driven content evaluation

Benefits

• Paid Vacation: 6 days
• Paid Company Holidays: 2 days (Memorial Day and Labor Day)
• Paid Sick Leave: accrued per applicable state law and company policy
• Medical, Dental, and Vision Insurance (eligibility applies)
• Health Savings Account (HSA)
• 401(k) Retirement Plan
• Employee Assistance Program
• Additional voluntary benefits (life, accident, critical illness, etc.)
• Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
• Micro‑kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
• Unique Campus Features: Some locations include roof‑top nature parks
• Commuter Benefits: Free transport, shuttles, and sometimes bike‑to‑work perks.

Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast‑moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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. If you would like more information about how your data is processed, please contact us.

In order to verify work authorization as 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.