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Job Description

Review distributed-system designs and implementations for consistency, concurrency, fault tolerance, performance, and production operability. Analyze service boundaries, state management, messaging guarantees, database behavior, and failure recovery under realistic production conditions. Identify race conditions, scaling bottlenecks, ambiguous invariants, unsafe retry behavior, and tradeoffs hidden by simplified explanations. Provide reference architectures and code-review feedback that reflect staff- or principal-level engineering judgment. 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 $160 - $240/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

• 10+ years building production backend or distributed systems
• Expertise in concurrency, databases, messaging, consensus tradeoffs, and reliability engineering
• Staff, principal, architect, or equivalent technical-leadership experience

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.