Welo Data is seeking Data Labeling Associates for Project Perseus. This role is distinct from traditional annotation, focusing on the intersection of human judgment and machine learning. Associates will evaluate cutting-edge AI systems, specifically assessing their handling of Arabic language nuances, cultural context, and safety boundaries. The mission emphasizes human-in-the-loop excellence, involving the critique of Arabic AI outputs for accuracy, fluency, and tone, identifying bias, risks, and failure modes in Arabic datasets, and refining evaluation frameworks to reflect real-world Arabic dialects and contexts. The position also requires identifying trends in model performance and communicating findings to technical stakeholders, as well as participating in team syncs for quality consistency. This is a W2 Full-Time Employee role, requiring 40 hours per week, and is located on-site in New York City, with a pay rate of $34 per hour.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees