Welo Data is seeking Data Labeling Associates for Project Perseus. This role is not a traditional annotation position; instead, it involves working at the intersection of human judgment and machine learning. The associate will evaluate how cutting-edge AI systems handle Spanish language nuances, cultural context, and safety boundaries. The mission is to achieve Human-in-the-Loop Excellence by critiquing Spanish AI outputs for accuracy, fluency, and tone, providing structured feedback to drive model improvement. Associates will also use their GenAI safety experience to identify bias, risks, and failure modes in Spanish datasets, apply complex linguistic guidelines thoughtfully, and help refine evaluation frameworks to reflect real-world Spanish dialects and contexts. They will also identify trends in model performance, communicate findings clearly to technical stakeholders, and participate in team syncs to ensure consistent quality across global AI workstreams. This is a W2 Full-Time Employee position, 40 hours/week, located On-Site in New York City, with a pay rate of $34 per hour. It offers 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