French Data Labeling Analyst for AI Training Data

Welo Data

Boston (MA)

On-site

USD 66,191,000 - 94,272,000

Full time

46 hours ago
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Benefits offered by this job

Paid Vacation: 6 days
Paid Company Holidays: 2 days
Paid Sick Leave
Medical, Dental, Vision Insurance
Health Savings Account
401(k) Retirement Plan
Employee Assistance Program
Life insurance / Other voluntary
Onsite perks: Free meals
Commuter benefits
Shuttle/bike-to-work

Job summary

Welo Data is hiring Data Labeling Analysts to support speech and voice AI systems in a 100% onsite role across multiple US locations. The position focuses on building high-quality language datasets with careful attention to detail and strong judgment in a structured, process-driven environment.

You will work with audio and language data, evaluating model outputs, conducting audits, and providing actionable feedback to improve evaluation frameworks.

Qualifications

  • Fluent French required; strong written and oral communication
  • Excellent attention to detail in repetitive labeling tasks
  • Ability to follow guidelines and maintain consistency across data

Responsibilities

  • Evaluate AI model outputs and provide structured, high-quality feedback
  • Perform audit-based reviews of data and model behavior to identify patterns and edge cases
  • Apply guidelines thoughtfully and flag mismatches with real-world scenarios
  • Contribute to improving evaluation frameworks beyond execution

Skills

Native-level French
Strong written communication
Attention to detail

Education

Bachelor's degree or equivalent

Job description

Welo Data is hiring Data Labeling Analysts to support speech and voice AI systems in a 100% onsite role across multiple US locations. The position focuses on building high-quality language datasets with careful attention to detail and strong judgment in a structured, process-driven environment.

You will work with audio and language data, evaluating model outputs, conducting audits, and providing actionable feedback to improve evaluation frameworks.

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