Language Expert

You will help evaluate and improve AI-generated French responses. The work combines language review, response rating, and clear written feedback that shows how an answer should be improved.

• Review French AI responses for accuracy, clarity, and adherence to prompt instructions.
• Create expert French content when needed to support AI learning.
• Find errors in logic, meaning, methodology, reasoning, and conceptual understanding.
• Check for meaning drift, locale inconsistencies, terminology issues, formality problems, and subtle language errors.
• Fact-check information when needed.
• Write explanations and revised responses that demonstrate the correct method.
• Rate and compare multiple AI responses for correctness, fluency, naturalness, and contextual relevance.
• Apply French grammar, agreement, tense and mood, semantics, pragmatics, register, style, punctuation, and discourse-level editing standards.

What it pays and takes

This is remote, part-time contractor work for French language experts. The role is open to candidates in France and requires at least 20 hours per week.

• Pay: $18 to $33 per hour.
• Work type: Part-time contract.
• Location: Open to candidates in France.
• Languages: Fluent French and strong written English.
• Education: Bachelor’s degree or higher in linguistics, French, translation and localization, communications, or a related field.
• Skills: Strong French grammar, semantics, pragmatics, discourse-level editing, and attention to detail.
• You should be comfortable working across time zones in a remote contractor workflow.
• Experience in AI data training, annotation, editorial quality assurance, translation or localization quality assurance, or professional editing is strongly preferred.
• Experience level: Entry level.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a free platform where people find AI training and data-labeling projects and begin their applications.

About AI training work

AI training is the human work behind many AI systems. Contributors review model responses, prepare examples, and give clear feedback so models can produce more accurate and useful results. Language experts are especially important when a model must handle meaning, tone, grammar, context, and local usage correctly.