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Job Description

Evaluate production reliability strategy, incident response, observability, capacity planning, and infrastructure automation for high-scale systems. Review AI recommendations for SLO design, alert quality, deployment safety, incident command, recovery objectives, and operational ownership. Identify reliability advice that ignores failure domains, organizational constraints, customer impact, or the cost of added complexity. Write clear corrections and runbook-quality guidance grounded in experience operating business-critical services. Remote, project-based contract work. Scope and hours depend on project matching; the listed hourly range applies to matched work.

Why Apply

• Expert-level compensationEarn $145 - $220/hr for work that values your professional judgment.
• Flexible remote workContribute asynchronously around your existing professional commitments.
• Meaningful model impactHelp advanced AI systems reason more accurately in technology & computing.
• Focused projectsAccept only the opportunities that fit your experience and availability.

Responsibilities

• Evaluate advanced domain tasks and AI-generated responses for factual accuracy and professional judgment.
• Apply current standards, methods, and risk considerations from technology & computing.
• Document errors, edge cases, and the reasoning behind an ideal response.
• Collaborate asynchronously with Alpheva's research and evaluation teams.

Required Qualifications

• 7+ years in SRE, platform engineering, production engineering, or cloud infrastructure
• Expertise in SLOs, incident command, Kubernetes, infrastructure as code, and observability
• Experience owning reliability for business-critical distributed services

Company Description

Alpheva AI builds the expert data, evaluations, and real-world environments that help frontier AI systems become more capable and reliable. We partner with experienced professionals whose judgment can teach models how high-quality work is actually done.