French Data Labeling Analyst — Onsite AI Training Data

Welo Data; Washington (District of Columbia); On-site; USD 50,000 - 67,000; Full time

Benefits offered by this job

Paid Vacation

Paid Holidays

Paid Sick Leave

Medical, Dental, Vision Insurance

Health Savings Account

401(k) Retirement Plan

Employee Assistance Program

Additional voluntary benefits

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. The role is 100% onsite, involving evaluation, auditing, and feedback to improve AI datasets through structured, high-quality work.

You will handle audio, speech, and language data, ensuring training inputs are accurate and representative. Strong judgment and consistency are essential for success in this high-impact production environment.

Qualifications

• Native-level fluency in French.
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent in a related field.
• Ability to follow detailed instructions and apply guidelines consistently.
• High attention to detail and accuracy in repetitive tasks.
• Comfort in structured, process-driven environments.

Responsibilities

• 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.

Skills

French fluency

Strong written communication

Attention to detail

Time management

Ability to follow instructions

Education

Bachelor's degree or equivalent

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. The role is 100% onsite, involving evaluation, auditing, and feedback to improve AI datasets through structured, high-quality work.

You will handle audio, speech, and language data, ensuring training inputs are accurate and representative. Strong judgment and consistency are essential for success in this high-impact production environment.