As listed by Anyone AI, in USD. Across 231 Coding roles with an hourly rate, the median is $63 and half sit between $60 and $80 (midpoint of each listed range).Estimate a week at this rate
Listed on Anyone AI since 25 Oct, last read 27 Oct.
History of this listing
First seen, one of 154 Anyone AI roles added to its list at once that day.
Only the days something changed in the listing. We read every platform once a day.
From the Anyone AI listing
Anyone AI is recruiting skilled Full-Stack Developers (Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go) 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
Text above is the platform's own listing, shown as published.
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