DevOps Engineer - AI Model Evaluator

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7fxqzv

About the Role
Non si lasci sfuggire questa occasione: si candidi rapidamente se la sua esperienza e le sue competenze corrispondono a quanto descritto di seguito.

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- 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

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- 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

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- Sprint based project that runs in 12-24 hour stretches based on client requirement.

Compensation

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- $400 per accepted task.

- Typical tasks take approximately 2–3 hours after ramp-up.

- Compensation is tied to accepted work.

Who Should Apply

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- 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. xysqume

- Experience supporting production-scale systems is preferred.

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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7fxqzv