Data Engineer - AI Model Evaluator
Obsidian · Toronto, Canada ·
- Category
- Data engineering
- Experience
- 2+ years
Evaluate and improve frontier AI coding models by completing and reviewing data engineering tasks—ETL pipelines, data warehouses, distributed systems—using AI coding agents like Cursor and Claude Code on a sprint-based, task-compensated basis.
About the Role
- Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project.
- Contributors help evaluate and improve frontier AI coding models through structured technical assessments.
- The work focuses on realistic data engineering workflows and model evaluation.
- Spots are limited and filling quickly on a first come, first serve basis.
What You'll Do
- Use frontier AI coding agents to complete and evaluate complex data engineering tasks.
- Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems.
- Identify bugs, edge cases, scalability issues, and failure modes.
- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic data engineering scenarios.
Time Commitment
- Sprint based project that runs in 12-24 hour stretches based on client requirement.
Compensation
- $400 per accepted task.
- Typical tasks take approximately 2-3 hours after ramp-up.
- Compensation is tied to accepted work.
Who Should Apply
- 2+ years of professional data engineering experience.
- Experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems.
- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
- Ability to evaluate model-generated data infrastructure and pipeline implementations.
- Experience operating large-scale data platforms is preferred.