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AI Trainer Jobs is seeking a Software Engineer, New Grad for a remote engineering review track. You will assess production code, debugging traces, and AI outputs for correctness, reproduce failures, and write tests that the model should have written.
The role pairs experienced engineers with the modeling team to guide fixes and target gaps in quality. Responsibilities include running candidate code, grading solutions for correctness and edge cases, and writing minimal failing tests.
Software Engineer, New Grad 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: $130 / hr · Location: Remote — US-eligible · Contractor
Software Engineer, New Grad is a remote engineering review track for evaluating production code, debugging traces, and developer-facing AI outputs against real-world correctness standards.
Software Engineer, New Grad 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 Hourly rate confirmed after the interview process. Eligible from US
Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.
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Placement timing depends on program demand and reviewer confirmation.