Mercor · Software & coding
Data Engineer (Coding Agent Experience)
Listed on Mercor as “Data Engineer (Coding Agent Experience)”
What this actually is
You review AI-generated code, rank model outputs against each other, write prompts that test edge cases, and provide expert feedback that gets used to train coding models. Not shipping production software. The platform title (Data Engineer (Coding Agent Experience)) reflects the rate band and the expertise required, not the day-to-day work.
Can you do this on your visa?
F-2 / F-4 / F-5 / F-6: open. E-1 to E-7: needs concurrent-employment permit. D-2 / D-4 students: S-3 permit, 20 hr/week cap. D-10 / D-8: case by case.
Korean tax on USD income
First 5 years in Korea: foreign-source income only taxed if remitted into Korea. After year 5: worldwide income. Full tax guide.
Original posting from Mercor
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.
Quoted from Mercor’s public listing on 2026-08-04. We don’t edit platform copy; honest framing is in the title and the “what this actually is” block above.
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About Mercor
AI-interview-based talent network. One application, voice interview with their AI, then matched to projects across coding, research, and specialist work. Pay scales with track and seniority.
Mercor review: AI-interview talent network
4.1/5 on Glassdoor, fastest-growing platform in the category (+509% YoY). What the AI video interview actually asks, real pay across coding/research/medical/legal/finance tracks ($25-$200/hr), and the project-availability problem.
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