- Salary
- $80+/hr
- Location
- US
- Workplace
- Remote
- Type
- contract
- Department
- Engineering
- Seniority
- Mid
- Experience
- 2+ years
- Industry
- Technology
- Category
- Engineering
- Role type
- Individual Contributor
- Environment
- Office
- Closing date
- 2 weeks ago
- Source
- CareersPage
Description
**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.
