Full-Stack Developer - AI Trainer (Germany)

Anyone AI Inc.

Job Overview

Location

Germany

Job Type

Contract

Full Job Description

📋 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 multi-file coding tasks for 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 and ambiguities; and 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 contribute to high-quality, production-realistic coding tasks that advance AI model training

🎯 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 expert evaluation work
• Fully remote work arrangement
• Consultants control their own schedule
• Paid on a per-project basis with hourly rate estimates
• Ability to simultaneously provide services to other vendors/employers (subject to allowances)

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Anyone AI Inc.

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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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