Data Engineer - AI Model Evaluation
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First seen by Alion on Oct 13, 2026. Mercor scores A on the Alion truth index.
Overview
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Impact
Profile match
Mercor is an American company founded in 2023 by three Thiel Fellows that recruits and pays domain experts to produce the training and evaluation data frontier artificial intelligence labs need. Its business shifted quickly from general talent matching to expert data work: as models became competent at ordinary tasks, the scarce input became judgement from practising doctors, lawyers, bankers and engineers, and Mercor sources, vets and pays those people at very large scale. Headquartered in San Francisco and valued in the billions within two years of founding, it pays out enormous sums annually to a contributor network rather than employing them.
Backed by General Catalyst, Menlo Ventures, Felicis
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Data Engineer (Coding Agent Experience)
Type:Contract
Compensation:$80/hour
Location:Remote
- 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 in model outputs.
- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic data engineering scenarios.
Must-Have
- 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.
- $400 per accepted task.
- Compensation is tied to accepted work.
- Upload resume
- AI interview based on your resume
- Submit form
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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