Posted
15 Aug 2026
Last seen
15 Aug 2026
Location
United States
Lifecycle
fresh
Grade
C
About the jobMercor 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:ContractCompensation:$80/hourLocation:RemoteRole Responsibilities
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.
QualificationsMust-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.
PreferredExperience operating large-scale data platforms.Compensation & Legal
$400 per accepted task.
Compensation is tied to accepted work.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
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
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.
QualificationsMust-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.
PreferredExperience operating large-scale data platforms.Compensation & Legal
$400 per accepted task.
Compensation is tied to accepted work.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
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