Welo Data is seeking Data Labeling Associates for Project Perseus. This role is not a traditional annotation position, but rather involves working at the intersection of human judgment and machine learning. The associate will evaluate how cutting-edge AI systems handle language nuances, cultural context, and safety boundaries. While the job title specifies Portuguese (Brazil), the responsibilities section explicitly mentions critiquing Arabic AI outputs, identifying bias and risks in Arabic datasets, and refining evaluation frameworks for Arabic dialects and contexts. The mission is to achieve human-in-the-loop excellence by providing structured feedback to drive model improvement, identifying failure modes, applying complex linguistic guidelines, communicating findings to technical stakeholders, and ensuring consistent quality across global AI workstreams. This is a W2 Full-Time Employee role, requiring 40 hours/week, and is located on-site in New York City.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees