Welo Data is seeking Data Labeling Associates for Project Perseus. This role requires professional-level proficiency in Portuguese (Portugal) and a background in writing, with attention to AI safety. It is not a traditional annotation role, but rather involves working at the intersection of human judgment and machine learning. Associates will evaluate how cutting-edge AI systems handle Arabic language nuances, cultural context, and safety boundaries. The mission is to drive model improvement, identify bias, risks, and failure modes in Arabic datasets, apply complex linguistic guidelines, and refine evaluation frameworks to reflect real-world Arabic dialects and contexts. This position offers an opportunity to directly influence 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