Anyone AI

Software Engineering

SoftwareEngineeringAITrainer

$0–0k Peru PART TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Software Engineering AI Trainer at Anyone AI. Skills: Software engineering, Python, JavaScript, TypeScript, Backend development, Full-stack development, Debugging, Code reviews, Refactoring. Design and evaluate realistic software engineering tasks. Bug resolution”

What You'll Achieve.

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

Industry & Context.

Software Engineering
Problems you'll solve

Proven ability to debug and navigate large, multi‑file codebases; Identify edge cases; Identify ambiguities; Identify potential failure modes

What They're Looking For.

Must Have

Advanced professional written proficiency in English, 3–7 years of professional software engineering experience, proficiency in Python and JavaScript/TypeScript, working knowledge of Java, C#, or Go, Backend or full‑stack development experience in production systems, Proven ability to debug and navigate large, multi‑file codebases

Nice to Have

Experience with testing frameworks (e. g. , pytest, Jest, JUnit, xUnit, Go testing), Experience with code reviews, refactoring, and production migrations

What You'll Do.

Design and evaluate realistic software engineering tasks

Feature implementation

Refactoring/migration

Creating complex coding scenarios

Reviewing peer submissions for quality and accuracy

Design and implement multi-file coding tasks across bug fixing

Write clear natural-language specifications and reference implementations

Develop and extend unit and integration test suites

Review peer-generated tasks for correctness

How You'll Work.

Team & Collaboration

Reviewing peer submissions for quality and accuracy; Review peer-generated tasks for correctness, clarity, and realism

Communication Scope

Advanced professional written proficiency in English; Write clear natural-language specifications

Full Job Description

Anyone AI is recruiting skilled software engineers to work on a project with a leading AI lab. Qualifications: - Advanced professional written proficiency in English - 3–7 years of professional software engineering experience - Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go - Backend or full‑stack development experience in production systems - Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing) - Proven ability to debug and navigate large, multi‑file codebases - Experience with code reviews, refactoring, and production migrations Engagement: Part-time, project-based expert evaluation work Work Type: Remote 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. 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). Responsibilities: Contributors will: - Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing - Write clear natural-language specifications and reference implementations - Develop and extend unit and integration test suites - Review peer-generated tasks for correctness, clarity, and realism - Identify edge cases, ambiguities, and potential failure modes - Ensure alignment between specifications, code, and expected outputs Expected Outcomes: - High-quality, production-realistic coding tasks - Complete and correct reference implementations - Robust test coverage and validation artifacts - Structured, actionable peer review feedback

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