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AI Trainer Jobs is seeking trusted reviewers to assess production code, debug traces, and AI outputs for real-world correctness. You will reproduce failures, write a minimal failing test, and explain fixes to help the modeling team close gaps.
This is a remote contractor role focused on evaluating full-stack code in a streaming review workflow. Ideal candidates have strong experience reading, running, and debugging unfamiliar code, familiarity with common testing frameworks, and clear written
Software Engineer, Full Stack — India is a remote engineering review track for evaluating production code, debugging traces, and developer-facing AI outputs against real-world correctness standards. Reviewers reproduce failures, write the unit test the model should have written, and explain the fix so the modeling team can target the gap.
Category: Coding, SWE & Agent Evaluation · Pay: $25–$30 / hr · Location: Remote — US-eligible · Contractor
Software Engineer, Full Stack — India is a remote engineering review track for evaluating production code, debugging traces, and developer-facing AI outputs against real-world correctness standards.
Software Engineer, Full Stack — India is a remote engineering review track for evaluating production code, debugging traces, and developer-facing AI outputs against real-world correctness standards. Reviewers reproduce failures, write the unit test the model should have written, and explain the fix so the modeling team can target the gap.
Engineering model quality lives or dies on whether the generated code actually compiles, passes tests, and handles edge cases. AuraOne pairs experienced engineers with the modeling team to grade outputs the way a code reviewer would.
Judge generated code and software engineering agents. Read their debugging traces.
Track Code review & evaluation Work model Remote · Independent specialist contractor Compensation $25–$30 / hr Eligible from US
$25–$30 / hr
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.
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