Software Engineering AI Trainer, $100/hour

Job Description

We are seeking a project team of skilled Software Engineers to work as project consultants in our AI Labor Marketplace. This is not a full-time employment position — you will be engaged as an expert project consultant on a contract basis.

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Location : U.S.-based experts only

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Engagement : Part-time, project-based expert evaluation work

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Work Type : Remote

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Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy.

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This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances).

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Responsibilities:

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Contributors will:

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• Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing
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• Write clear natural-language specifications and reference implementations
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• Develop and extend unit and integration test suites
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• Review peer-generated tasks for correctness, clarity, and realism
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• Identify edge cases, ambiguities, and potential failure modes
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• Ensure alignment between specifications, code, and expected outputs
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Expected Outcomes:

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• High-quality, production-realistic coding tasks
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• Complete and correct reference implementations
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• Robust test coverage and validation artifacts
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• Structured, actionable peer review feedback
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Qualifications:

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• Advanced professional written proficiency in English
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• 3–5 years of professional software engineering experience
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• Strong proficiency in Python and JavaScript/TypeScript ; working knowledge of Java, C#, or Go
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• Backend or full‑stack development experience in production systems
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• Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing)
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• Proven ability to debug and navigate large, multi‑file codebases
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• Experience with code reviews, refactoring, and production migrations
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• Prior experience with data annotation, evaluation, or structured labeling for AI/ML systems
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• Experience defining solution trajectories and writing evaluation rubrics
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• Familiarity with LLM evaluation, prompt design, or benchmarking workflows
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