Welo Data is looking for Data Labeling Associates for Project Perseus. This role is at the intersection of human judgment and machine learning, evaluating how cutting-edge AI systems handle Turkish language nuances, cultural context, and safety boundaries. You will critique AI outputs for accuracy, fluency, and tone, identify bias and risks in datasets, refine evaluation frameworks to reflect real-world Turkish dialects and contexts, identify trends in model performance, and ensure consistent quality across global AI workstreams. The position is a W2 Full-Time Employee role, 40 hours/week, based in New York City, with a pay rate of 34 $ per hour. This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved, in a fast-moving, collaborative environment.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees