French AI Safety Data Labeler & Evaluator

Welo Data; San Francisco (CA); On-site; USD 38,641 - 55,035; Full time

Benefits offered by this job

Free breakfast, lunch, and dinner

Micro-kitchens with premium snacks

Commuter support with free transport

Comprehensive Medical, Dental, and Vision benefits

401(k) and HSA eligibility

Job summary

Welo Data is seeking Data Labeling Associates in San Francisco to evaluate AI systems focused on Arabic language nuances. The role includes model evaluation, identifying biases in datasets, and ensuring quality across global AI workflows. Candidates should have native French proficiency, B2 English skills, and a degree. Enjoy premium benefits like gourmet dining and comprehensive medical coverage while contributing to innovative AI safety solutions.

Qualifications

• 2+ years of experience focusing on Safety & Trust in Generative AI data delivery.
• 1–2 years of experience in professional writing, journalism, or content creation.
• Ability to make sound judgment calls in ambiguous 'grey area' scenarios.

Responsibilities

• Critique Arabic AI outputs for accuracy, fluency, and tone.
• Identify bias, risks, and failure modes in Arabic datasets.
• Apply complex linguistic guidelines and refine evaluation frameworks.

Skills

Native-level French proficiency

B2 level English skills

Professional writing experience

AI safety expertise

Critical thinking

Technical agility

Education

University Degree (Bachelor’s or higher)

Job description

Welo Data is seeking Data Labeling Associates in San Francisco to evaluate AI systems focused on Arabic language nuances. The role includes model evaluation, identifying biases in datasets, and ensuring quality across global AI workflows. Candidates should have native French proficiency, B2 English skills, and a degree. Enjoy premium benefits like gourmet dining and comprehensive medical coverage while contributing to innovative AI safety solutions.