Join OpenTrain to help train large language models by reading, summarizing, reasoning, and annotating French and English content. Remote, contractor role requiring bilingual fluency and 20+ hours/week with some US-time overlap.
Generative AI & RLHF
100% Remote
Worldwide
Eligibility
Entry
Experience
Jul 17, 2026
Posted
Open worldwide
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OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people start and grow freelance careers teaching AI by offering steady projects, a unified portfolio, and tools to manage work with flexibility and transparency.
Why AI Training Work Matters
AI training (data labeling and human feedback) is the human work that teaches modern AI systems to understand language, follow instructions, and make better decisions. Contributors do real editorial and analytical work—annotating, rating, and improving model outputs—and can build flexible, remote careers at the cutting edge of AI.
100% remote work that fits around other commitments
Accessible entry points—language fluency and reasoning often matter more than prior AI experience
Direct impact: your annotations and explanations help models produce clearer, more reliable answers
The Role
We are hiring a French AI Content Analyst to help improve large language models by breaking long content into logical blocks, validating claims, answering analytical questions, and creating scenarios used to train model reasoning. This is a contractor, part-time assignment focused on language understanding and evaluation.
Work type: Contractor, part-time
Time expectation: 20+ hours/week
Language focus: French and English bilingual tasks
What You Will Do
You will read substantial French-language content, reorganize it into clear logical sections, produce concise summaries and explanations, and supply correct answers when model outputs are incomplete or incorrect. Your annotations will include structured feedback and examples that teach models better reasoning and response structure.
Segment and summarize long-form text into logical blocks
Answer analytical questions and build training scenarios
Research and validate factual claims online when required
Provide clear explanations and corrective feedback to improve model reasoning
Produce detailed annotations and evaluation ratings for model outputs
Requirements
Candidates must be professionally fluent in both French and English and comfortable working independently in a remote contractor setting. Strong analytical reading skills, online research ability, logical reasoning, and basic arithmetic are required.
Professional fluency in French and English (reading, writing, comprehension)
Ability to read, summarize, and structure long-form content
Comfort with online research and claim validation
Strong logical reasoning and basic arithmetic skills
Experience with professional writing, editing, translation, or research preferred
Helpful Background & Tools
While not required, undergraduate study in fields such as Engineering, Literature, Journalism, Communications, Arts, or Statistics is relevant. Familiarity with common productivity tools helps; many contributors use Google Workspace and spreadsheets to track notes and examples.
Relevant study areas: Engineering, Literature, Journalism, Communications, Arts, Statistics
Familiarity with Excel or Google Sheets and Google Workspace
Schedule, Labeling Tasks, and How to Apply
This is a flexible, remote contractor role with potential extension based on performance and project needs. Expect to work 20+ hours per week with some overlap with US hours; you should be available roughly 2–5 hours per day in America/Los_Angeles time. Typical tasks involve text-generation prompts, question-answering judgments, and evaluation ratings to improve model outputs.
To apply, submit your interest through your OpenTrain account. Candidates who match the role will be contacted with next steps.
Labeling types: Text generation, Question answering, Evaluation/rating
Work arrangement: Contractor, part-time, remote, worldwide applicants accepted
Time requirement: 20+ hours/week with 2–5 hours/day overlap in America/Los_Angeles time
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