Bilingual Business Analyst (French) for AI Language Models

Aitrainer; Los Angeles (CA); Hybrid; USD 60,000 - 90,000; Part time

Benefits offered by this job

Competitive compensation

Flexible working hours

Remote work environment

Cutting-edge AI projects

Contract extension potential

Job summary

Turing is seeking a multilingual analyst to read, summarize, and break down large content into logical blocks. You will validate claims online and work with large language models to solve puzzles, contributing to AI model refinement and performance in an international, remote setting.

The role emphasizes independent work, over 40 hours per week, and overlap with US Pacific time. You will engage with cutting-edge AI projects and provide detailed feedback to improve language models.

Qualifications

• Bilingual in English and French to support multilingual tasks.
• Strong research and analytical skills for content analysis and validation.
• Ability to provide detailed annotations and constructive feedback.
• Creative and lateral thinking to approach AI-related puzzles.

Responsibilities

• Analyze distribution of monthly sales by location to identify growth trends.
• Break down content into coherent blocks and validate claims via online research.
• Collaborate with LLMs to refine analyses and improve model performance.

Skills

Multilingual capabilities

Analytical skills

Feedback skills

Creative thinking

Communication

Independence

Commitment

Technical setup

Education

Bachelor's degree or equivalent in a relevant field

Experience in relevant area

Tools

Excel

Google Suite

Job description

Turing is seeking a multilingual analyst to read, summarize, and break down large content into logical blocks. You will validate claims online and work with large language models to solve puzzles, contributing to AI model refinement and performance in an international, remote setting.

The role emphasizes independent work, over 40 hours per week, and overlap with US Pacific time. You will engage with cutting-edge AI projects and provide detailed feedback to improve language models.