Welo Data is hiring Data Labeling Associates in New York City for Project Perseus, requiring professional-level Turkish proficiency and a strong writing background. This role blends human judgment and machine learning to evaluate Arabic AI outputs, focusing on safety and quality. Ideal candidates will have 2+ years in AI safety and professional writing experience. The position offers full-time hours with benefits such as gourmet dining, modern workspace, and comprehensive healthcare. Join us to redefine how AI systems are evaluated and improved.
Qualifications
Professional-level proficiency in Turkish with strong writing background.
2+ years of experience in AI safety and trust.
1–2 years of experience in professional writing, journalism, or content creation.
Responsibilities
Critique Arabic AI outputs for accuracy and fluency.
Identify bias and risks in Arabic datasets.
Apply complex linguistic guidelines and refine evaluation frameworks.
Identify trends in model performance and communicate findings.
Participate in team syncs to ensure quality across workstreams.
Skills
Turkish proficiency
English proficiency (B2)
Professional writing
AI safety expertise
Critical thinking
Technical agility
Education
University Degree (Bachelor’s or higher)
Job description
Welo Data is hiring Data Labeling Associates in New York City for Project Perseus, requiring professional-level Turkish proficiency and a strong writing background. This role blends human judgment and machine learning to evaluate Arabic AI outputs, focusing on safety and quality. Ideal candidates will have 2+ years in AI safety and professional writing experience. The position offers full-time hours with benefits such as gourmet dining, modern workspace, and comprehensive healthcare. Join us to redefine how AI systems are evaluated and improved.