Welo Data is seeking Data Labeling Associates for Project Perseus, an initiative focused on refining multilingual AI. This role is distinct from traditional annotation, placing individuals at the intersection of human judgment and machine learning. Associates will evaluate cutting-edge AI systems for their handling of Arabic language nuances, cultural context, and safety boundaries. The mission is to achieve Human-in-the-Loop Excellence by critiquing Arabic AI outputs for accuracy, fluency, and tone, identifying biases and risks in Arabic datasets, and helping to refine evaluation frameworks to reflect real-world Arabic dialects and contexts. The position also involves identifying trends in model performance, communicating findings to technical stakeholders, and participating in team calibrations to ensure consistent quality across global AI workstreams. This is a full-time W2 employee position, requiring 40 hours per week, and is based on-site in New York City. The work is described as fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees