Turing review · AI Training & Data Labeling
Business Analyst (French Language) — LLM Training (Turing)
What the work involves
Turing is recruiting candidates with strong analytical and English comprehension skills to help fine-tune large language models, with a requirement for French language proficiency. You'll read, summarize and break down large content into logical blocks, conduct online research to validate claims, and work with LLMs to solve analytical puzzles — for example, analyzing a sales distribution to find which location grew most, or reasoning through multi-step delivery-logic problems. You'll also give constructive feedback and detailed annotations that teach models the correct reasoning path.
The contract runs two months with a minimum of 20 hours a week (options at 30 or 40) and 2–5 hours of daily overlap with Pacific Time. Selection runs through an automated analytical challenge, a business writing assessment in English, then a French language proficiency assessment.
What you'll do
- Answer a variety of analytical questions and create scenarios that train LLMs to reason correctly
- Read, summarize and break down large content into smaller logical blocks
- Conduct online research and validate claims made in source content
- Work with LLMs to solve puzzles requiring reasoning and analysis
- Provide constructive feedback and detailed annotations
- Exercise creative and lateral thinking on complex problem sets
Requirements & eligibility
- Multilingual capability is mandatory: English and French
- Strong research and analytical skills
- Ability to provide constructive feedback and detailed annotations
- Creative and lateral thinking abilities
- Excellent communication and collaboration skills, self-motivated for independent remote work
- Minimum 20 hours/week (options at 30 or 40) with 4 hrs/day overlap with PST (UTC-8); desktop or laptop with reliable internet
- Bachelor's degree in Engineering, Literature, Journalism, Communications, Arts, Statistics or a related field preferred (not required with relevant experience)
How to apply
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