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.
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Remote DevOps / SRE / Cloud Engineer (Coding Agent Experience) - AI Trainer ($85-$85 per hour) • Davie, Florida, US