Multilingual LLM Data Analyst (French)

You will create and review text-based training material for large language models. The work focuses on reasoning, research, analysis, and identifying weaknesses in model responses.

• Read, summarize, and divide long content into clear logical sections.
• Research topics online and check claims made in written material.
• Answer questions involving data interpretation, logical reasoning, and basic arithmetic.
• Create scenarios and examples that challenge models with difficult reasoning problems.
• Write correct answers, explanations, constructive feedback, and detailed annotations.
• Review model responses for accuracy, clarity, and sound reasoning.

This is an entry-level contractor and part-time role. The role details do not list a pay rate.

• Time commitment: 20 or more hours per week.
• Location: Worldwide and remote.
• Languages: Strong English and French skills are required.
• Experience level: Entry level.
• You need strong analytical, research, and English comprehension skills.
• You should be able to solve quantitative, logical, and lateral-thinking problems.
• Clear writing, professional collaboration, and independent remote work skills are required.
• You need a reliable desktop or laptop and an internet connection.
• Useful backgrounds include business analysis, research analysis, copywriting, journalism, technical writing, editing, or translation.
• Study or experience in engineering, literature, journalism, communications, arts, statistics, or a related field may help.
• Familiarity with Excel and Google Suite is useful.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that understand and generate text. People review examples, write answers, and explain errors so models can produce more accurate and useful results.

Analytical and language skills matter because model training depends on careful judgments, clear explanations, and reliable examples.