- Salary
- $85+/hr
- Location
- US
- Workplace
- Remote
- Department
- Engineering
- Experience
- 2+ years
- Closing date
- Jul 23, 2026
- 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 infrastructure 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 infrastructure engineering tasks.
\- Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, observability, and infrastructure automation.
\- Identify bugs, edge cases, reliability issues, and failure modes.
\- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
\- Apply professional engineering judgment to realistic infrastructure 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 DevOps, SRE, or Cloud Engineering experience.
\- Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling.
\- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
\- Ability to evaluate model-generated infrastructure and reliability engineering solutions.
\- Experience supporting production-scale systems is preferred.
