Data Engineer (Coding Agent Experience)
Canada, Kentucky, United States · Contract
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- Experience
- 2+ yrs
- Salary
- USD 80 – USD 80 / hour
- Openings
- 1
- Posted
- 6 hours ago
- Work mode
- In office
- Resume
- Required to apply
Where you'll work
Job description
About the Role
- Participate in evaluating and improving frontier AI coding models through structured technical assessments focused on realistic data engineering workflows.
- Work involves completing and assessing complex data engineering tasks executed by AI coding agents.
Role Responsibilities
- Utilize frontier AI coding agents to perform and evaluate sophisticated data engineering assignments.
- Assess model-produced implementations related to ETL pipelines, data warehouses, analytics platforms, and distributed data systems.
- Detect bugs, handle edge cases, identify scalability challenges, and pinpoint potential failure modes.
- Compare results generated by various frontier AI models to evaluate their respective advantages and limitations.
- Employ professional engineering judgment in practical data engineering situations.
Time Commitment
- Engagement is sprint-based with project work completed in short 12 to 24-hour intervals depending on client needs.
Candidate Profile
- Minimum of 2 years of professional experience in data engineering.
- Proven experience in constructing ETL pipelines, managing data warehouses, analytics platforms, or distributed data systems.
- Frequent use and familiarity with AI coding agents like Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable tools.
- Competence in evaluating model-generated implementations of data infrastructure and pipelines.
- Prior experience managing large-scale data platforms is advantageous.
Compensation
- Payment is $400 for each accepted task.
- Typically, each task requires 2 to 3 hours following an initial ramp-up period.
- Compensation is contingent on approval of the submitted work.