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Backend Developer - AI Trainer (Germany)

Job Overview

Location

Germany

Job Type

Part-time

Category

Backend Engineer

Date Posted

April 15, 2026

Full Job Description

đź“‹ Description

  • • This role involves working as a Backend Developer - AI Trainer on a project-based engagement with a leading AI lab, where you will design and evaluate realistic software engineering tasks to support AI training initiatives.
  • • 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 and ambiguities; and ensuring alignment between specifications, code, and expected outputs.
  • • Anyone AI Inc. is a company collaborating with top AI labs to advance AI capabilities through expert human input, leveraging skilled software engineers to create high-fidelity training data for AI systems.
  • • In this role, you will deepen your expertise in backend and full-stack development, gain experience in AI data generation and evaluation workflows, refine your code review and testing practices, and contribute directly to the quality and realism of AI training materials while working remotely with flexible scheduling.

Skills & Technologies

Python
JavaScript
TypeScript
Java
Go
Backend
Remote

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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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