AI Data Specialist - French

RWS; Marseille; Remote; EUR 17,000 - 24,000; Part time

Benefits offered by this job

Extra income

Timely payments

Remote work-friendly

Job summary

RWS is seeking flexible freelance data labeling contributors for remote, part-time work. You will help shape AI by performing data collection, evaluation, and annotation across audio, video, and image content.

Ideal candidates are native French speakers with fluent English (B2–C2). The role offers adaptable hours and timely payments, making it suitable for students, part-timers, or stay-at-home parents seeking extra income.

Qualifications

• Native-level fluency in French
• English proficiency from B2 to C2
• AI & data capabilities (preferred): data collection, preprocessing, evaluation, QA, annotation

Responsibilities

• Data collection, evaluation, and annotation.
• Pairwise comparisons.
• Counting tasks.
• Object tagging and labeling across content types (audio, video, images, or collected data)

Skills

French (native)

English (B2–C2)

Data annotation

Job description

Job Type: Freelance

Location: Work from home

Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want.

Start Date: Immediately

Rate: 16.50 USD per hour (rates vary per country. If you are based elsewhere, the rates will be different)

Help Shape the Future of AI

Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models?

What You’ll Do

The role involves performing diverse data-related tasks, including:

• Data collection, evaluation, and annotation.
• Pairwise comparisons.
• Counting tasks.
• Object tagging and labeling across different content types (audio, video, images, or collected data)

What we’re looking for:

• Native-level fluency in French
• English Proficiency: Fluent or advanced proficiency in English (levels B2–C2)
• AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.

What We Offer

• Opportunity to earn extra income
• Timely payments
• The job is ideal for students, part-timers, or stay-at-home parents