French Data Labeler for AI Safety & Multilingual Evaluation

Welo Data; New York (NY); On-site; USD 63,000 - 77,000; Full time

Benefits offered by this job

Gourmet dining

Free transport and shuttles

Comprehensive medical, dental, and vision

401(k) and HSA eligibility

Job summary

Welo Data in New York City is seeking Data Labeling Associates for Project Perseus. This full-time onsite role focuses on evaluating AI systems through the lens of Arabic language nuances. Ideal candidates will have native French proficiency, a university degree, and expertise in AI safety. The position offers a vibrant work environment with gourmet dining and comprehensive benefits, providing a unique opportunity to influence the future of AI evaluation and safety.

Qualifications

• Professional writing experience of 1-2 years, preferably in journalism or content creation.
• 2+ years of GenAI safety experience focused on identifying bias and risks.
• Ability to critique AI outputs for accuracy, fluency, and tone.

Responsibilities

• Critique Arabic AI outputs, providing structured feedback for model improvement.
• Identify risks in Arabic datasets, ensuring safety and quality.
• Communicate insights to technical stakeholders regarding trends.

Skills

Native-level French proficiency

B2 English proficiency

Professional writing experience

AI safety expertise

Critical thinking

Technical agility regarding LLMs

Education

University Degree (Bachelor's or higher)

Job description

Welo Data in New York City is seeking Data Labeling Associates for Project Perseus. This full-time onsite role focuses on evaluating AI systems through the lens of Arabic language nuances. Ideal candidates will have native French proficiency, a university degree, and expertise in AI safety. The position offers a vibrant work environment with gourmet dining and comprehensive benefits, providing a unique opportunity to influence the future of AI evaluation and safety.