AI Quality Control Specialist - French Language

What You Will Do

Evaluate AI-generated content in French across multiple task types (annotation, review, validation).

Apply structured quality frameworks to assess

Accuracy and factual correctness.

Utility (alignment with user intent).

Language quality (fluency, tone, clarity).

Train vendors

Participate Clients Calls

Identify and flag

Hallucinations and misinformation.

Logical inconsistencies.

Cultural or linguistic mismatches.

Provide clear, structured feedback to improve upstream quality.

Detect patterns of errors across batches and contribute to quality insights.

Support calibration efforts to ensure consistent scoring across teams.

Contribute to guideline refinement and evaluation standards.

Who You Are

Professional proficiency in French and strong command of English are required.

Highly analytical with strong critical thinking skills.

Comfortable working with ambiguous and evolving guidelines.

Detail-oriented with the ability to maintain consistency at scale.

Clear communicator, able to justify decisions and provide actionable feedback.

Naturally skeptical—able to question outputs and validate information.

Preferred Background

Journalism, editorial, or investigative research.

Linguistics, translation, or localization QA.

Content moderation / Trust & Safety.

Experience in AI data annotation, evaluation, or QA.

What Success Looks Like

High consistency in quality scoring across tasks.

Strong alignment with QA benchmarks.

Ability to detect non-obvious quality issues.

Feedback that improves annotator performance and overall output quality.

Contribution to a scalable, predictable quality system.

Originally posted on Himalayas