Welo Data is seeking Data Labeling Associates for Project Perseus, a role that operates at the intersection of human judgment and machine learning. This position involves evaluating cutting-edge AI systems for their handling of Arabic language nuances, cultural context, and safety boundaries, moving beyond traditional annotation tasks. The core mission is to achieve Human-in-the-Loop Excellence by critiquing Arabic AI outputs for accuracy, fluency, and tone, providing structured feedback to enhance model performance. Associates will also be responsible for identifying bias, risks, and failure modes in Arabic datasets, applying complex linguistic guidelines, and refining evaluation frameworks to reflect real-world Arabic dialects. Key aspects include 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 W2 Full-Time Employee position, requiring 40 hours per week, and is located on-site in Washington State (Redmond, Seattle, or Bellevue).
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees