French LLM Evaluator (Bilingual, BA Required)

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect skilled contributors with projects that shape how modern AI systems behave.

Creating an OpenTrain profile is free. Contributors work remotely on impactful tasks—helping state-of-the-art models learn from human examples while building portable skills in language, QA, and model evaluation.

About AI Training Work

AI training (data labeling, annotation, or human feedback) is the human side of building intelligent systems. Experts review model outputs, rate quality, correct errors, and write improved responses so models learn to produce better answers.

This role focuses on bilingual French/English evaluation for large language models. It’s flexible, remote, and practical for people who want to contribute directly to how conversational and generative systems behave in French.

The Role

We’re hiring an expert French Language LLM Evaluator to assess AI-generated French responses and produce high-quality corrective content. You will evaluate reasoning, factual accuracy, clarity, and adherence to prompts, then write clear explanations and corrected model revisions.

This is an hourly contractor position (remote, worldwide). Labeling tasks include evaluation ratings and text generation (label types: EVALUATION_RATING, TEXT_GENERATION) executed via a web-based annotation tool (OTHER).

• Employment type: Contractor (hourly)
• Pay: $16.00–$26.50 USD per hour (hourlyRate: $24 listed)
• Data type: Text; label types: Evaluation rating and text generation

What You’ll Do

Perform careful, expert reviews of AI-generated French-language responses and produce revised model answers with clear explanations. Provide actionable feedback that improves model reasoning and linguistic quality.

• Assess solution correctness, clarity, and adherence to the prompt or task instructions.
• Identify and explain logical, factual, or reasoning errors in model outputs.
• Write corrected responses or model revisions that demonstrate correct methods.
• Rate and compare multiple model responses on correctness, reasoning, tone, and style.
• Enforce terminology and style consistency for specific audiences or locales.
• Document decisions clearly so ratings and edits can be used to train and fine-tune models.

Requirements

You must meet the stated educational and language qualifications and demonstrate advanced editorial and linguistic skills in French.

• Bachelor’s degree or higher in Linguistics, French, Translation/Localization, Communications, or a related field (required).
• Native or near-native French proficiency; C2 level preferred.
• Minimum C1 English proficiency in reading and writing.
• Strong command of French grammar (agreement, tense, mood, syntax, punctuation).
• Experience with semantics, pragmatics, tone, register, and discourse-level editing in French.
• Ability to spot meaning drift, ambiguity, locale inconsistencies, and subtle language errors with high precision.
• Experience enforcing terminology and style guidance for specific audiences/locales.
• Strong written communication for explaining corrections and linguistic decisions clearly.
• Able to work independently and maintain consistent quality in a remote, hourly contractor workflow.

Who Should Apply

This role is aimed at expert-level contributors with professional editorial, translation/localization QA, or AI training experience who want flexible, remote work improving French LLM outputs.

Prior experience in editorial QA, translation/localization QA, professional editing, or AI data training/annotation is preferred but not strictly required if you can demonstrate equivalent skills.

• Editors, translators, localization specialists, or linguists with hands-on French expertise.
• People who enjoy careful linguistic analysis and writing concise, instructive feedback.
• Contributors seeking contractor, hourly, remote work with flexible scheduling.

How It Works

If selected you will work as an hourly contractor on annotation tasks through a web-based labeling interface provided by the project (labeling software: OTHER). Tasks typically involve reading prompts and one or more model responses, assigning ratings, and producing revised text and explanations.

Expect to track time accurately and maintain quality standards; specific onboarding, style guides, and examples will be provided to help you align with project expectations.

• Work remotely from anywhere (worldwide).
• Complete tasks in a web annotation tool provided by the client or platform.
• Compensation is hourly: $16.00–$26.50 USD per hour; exact pay and workflow details shared during onboarding.