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Benefits offered by this job
Free breakfast, lunch, and dinner
Micro-kitchens stocked with beverages
Modern collaborative spaces
Comprehensive Medical, Dental, and Vision
Free transport and shuttle services
Job summary
Welo Data in New York City seeks a Data Labeling Associate for Project Perseus. This role requires professional-level Turkish proficiency and a background in writing, along with AI safety expertise. Responsibilities include evaluating AI's handling of Arabic nuances and providing feedback to improve model accuracy. Join a collaborative environment with gourmet dining, comprehensive benefits, and a focus on innovative AI solutions. Ideal candidates will have a university degree and 1–2 years of relevant experience.
Qualifications
Professional-level proficiency in Turkish and 2+ years of GenAI safety experience.
B2 level or superior English skills.
1–2 years of experience in professional writing or journalism.
Responsibilities
Critique Arabic AI outputs for accuracy and tone.
Identify bias and risks in Arabic datasets.
Provide feedback to improve model performance.
Skills
Linguistic Mastery in Turkish
Professional Writing
Critical Thinking
AI Safety Expertise
Technical Agility
Education
University Degree (Bachelor’s or higher)
Job description
Welo Data in New York City seeks a Data Labeling Associate for Project Perseus. This role requires professional-level Turkish proficiency and a background in writing, along with AI safety expertise. Responsibilities include evaluating AI's handling of Arabic nuances and providing feedback to improve model accuracy. Join a collaborative environment with gourmet dining, comprehensive benefits, and a focus on innovative AI solutions. Ideal candidates will have a university degree and 1–2 years of relevant experience.