Contribute to advanced AI research with Mercor as a Data Engineer focusing on model evaluation and data engineering tasks. This project involves using frontier AI coding agents for structured assessments in a quick-paced setting. Mercor is collaborating with a top-tier AI research lab for a unique project under the Frontier Code Agents initiative.

We're looking for contributors who will evaluate AI coding models while completing real-world data engineering workflows. Ideal candidates will have a solid background in ETL pipelines, data warehouses, and analytics systems, as well as experience with AI coding tools. Key Responsibilities:
Evaluate complex data engineering tasks with AI coding agents
Review model-generated implementations for accuracy




Identify issues in ETL pipelines and data architectures
Assess the strengths of multiple frontier AI models
Apply engineering judgment in realistic scenarios Requirements:
2+ years of data engineering experience
Proficient in building data infrastructure systems
Regular use of AI coding tools like Codex or Windsurf
Experience with large-scale data platforms preferred
Ability to evaluate and improve AI model outputs Become a key contributor to AI model evaluation by applying your data engineering skills in this exciting role.

📌 Ai Model Evaluator Data Engineer Role Toronto (Canada)
🏢 Mercor
📍 Canada