ph3About the Role /h3 ul liMercor is partnering with a leading AI research lab to support a Frontier Code Agents project.
/li liContributors help evaluate and improve frontier AI coding models through structured technical assessments.
/li liThe work focuses on realistic infrastructure engineering workflows and model evaluation.
/li liSpots are limited and filling quickly on a first come, first serve basis.
/li /ul h3What You'll Do /h3 ul liUse frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.
/li liReview model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, observability, and infrastructure automation.
/li liIdentify bugs, edge cases, reliability issues, and failure modes.
/li liCompare outputs from multiple frontier models and assess their strengths and weaknesses.
/li liApply professional engineering judgment to realistic infrastructure engineering scenarios.




/li /ul h3Time Commitment /h3 ul liSprint based project that runs in ***** hour stretches based on client requirement.
/li /ul h3Compensation /h3 ul li$400 per accepted task.
/li liTypical tasks take approximately 2–3 hours after ramp-up.
/li liCompensation is tied to accepted work.
/li /ul h3Who Should Apply /h3 ul li2+ years of professional DevOps, SRE, or Cloud Engineering experience.
/li liExperience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling.
/li liRegular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
/li liAbility to evaluate model-generated infrastructure and reliability engineering solutions.
/li liExperience supporting production-scale systems is preferred.
/li /ul /p #J-*****-Ljbffr

📌 Devops Engineer - Ai Model Evaluator (Lazio)
🏢 Obsidian
📍 Lazio