AI Quality Control Specialist - French Language
Quick facts
- Type
- Part-time
- Languages
- French
- Platform
- e2f — 5 open jobs
- Apply
- Free to apply — never pay to get AI training work
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
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.
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 skepticalable to question outputs and validate information.
Journalism, editorial, or investigative research.
Linguistics, translation, or localization QA.
Content moderation / Trust & Safety.
Experience in AI data annotation, evaluation, or QA.
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.
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About the Role: TrustScale is building scalable, high-quality human-in-the-loop systems to power AI. We are looking for an AI Quality Control Specialist - French Language who can analyze, validate, and challenge AI-generated outputs with precision and consistency. This is not a proofreading role. You will act as a quality gatekeeper, ensuring outputs meet standards for accuracy, utility, and linguistic quality across large-scale workflows.
What You Will Do:
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Who You Are:
Preferred Background:
What Success Looks Like:
Why TrustScale: At TrustScale, we operate AI talent as a supply chainstructured, measurable, and optimized. You will be part of a system where quality is not subjective, but defined, measured, and continuously improved.
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About e2f
e2f is a language data company that creates multilingual datasets for AI. It hires translators, linguists and native speakers for annotation, evaluation, prompt writing and transcription.