Job Overview
Location
Poland
Job Type
Contract
Category
Full-Stack Engineer
Date Posted
April 15, 2026
Full Job Description
đź“‹ Description
- • Full-Stack Developer - AI Trainer role focused on designing and evaluating realistic software engineering tasks for a leading AI lab project
- • Day-to-day responsibilities include designing and implementing multi-file coding tasks across bug fixing, feature development, refactoring, and testing; writing clear natural-language specifications and reference implementations; developing and extending unit and integration test suites; reviewing peer-generated tasks for correctness, clarity, and realism; identifying edge cases, ambiguities, and potential failure modes; ensuring alignment between specifications, code, and expected outputs
- • Anyone AI Inc. is recruiting skilled developers to contribute to AI training data creation through realistic software engineering scenarios
- • This role offers the opportunity to shape AI training materials, deepen expertise in full-stack development practices, and gain experience in educational content design for technical skill assessment
🎯 Requirements
- • 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
🏖️ Benefits
- • Part-time, project-based engagement with flexible scheduling
- • Fully remote work arrangement
- • Opportunity to work on impactful AI training projects with a leading AI lab
- • Autonomy to control own schedule and provide services to other vendors (subject to allowances)
- • Payment on a per-project basis with hourly rate estimates based on anticipated completion time
Skills & Technologies
About Anyone AI Inc.
Anyone AI provides no-code computer-vision infrastructure that lets companies build, train and deploy image and video models without machine-learning teams. Its cloud platform automates data labeling, model optimization and edge deployment for retail, manufacturing, logistics and healthcare use cases. The company offers pre-trained APIs for object detection, counting and anomaly identification, plus dashboards for continuous monitoring and compliance. Founded in 2021, it targets enterprises seeking rapid AI adoption while avoiding costly specialists and infrastructure setup.
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