China (Remote) · 82d ago
Software Engineering AI Trainer (Spain)
Anyone Ai · posted Jun 2, 2026
Open to candidates in Spain
$45–$80 / hr · Contract · Mid-level
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What this job asks for
Extracted by RemoteHuntMust have
- •3-7 years software engineering experience
- •Python and JavaScript/
TypeScript proficiency - •Backend or full-stack development
- •Experience with testing frameworks
- •Ability to debug large codebases
- •Experience with code reviews
Tools and technologies
Python, JavaScript, TypeScript, Java, C#, Go, pytest, Jest, JUnit, xUnit
Languages required
en
Worth checking before you apply
- project-based consultant role
Read the full posting
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
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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
Expected Outcomes:
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High-quality, production-realistic coding tasks
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Complete and correct reference implementations
-
Robust test coverage and validation artifacts
-
Structured, actionable peer review feedback
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