Anyone AI Inc. logo

Python Developer - Remote in the Netherlands

Job Overview

Location

Netherlands

Job Type

Contract

Category

Software Engineering

Date Posted

May 22, 2026

Full Job Description

đź“‹ Description

  • • Design and implement multi-file coding tasks focused on bug resolution, feature development, refactoring, and test generation for production-grade software systems.
  • • Write clear, precise natural-language specifications and reference implementations that accurately define coding challenges and expected outcomes.
  • • Develop and extend comprehensive unit and integration test suites using frameworks such as pytest, Jest, JUnit, xUnit, or Go testing to validate code correctness and robustness.
  • • Review peer-generated coding tasks for correctness, clarity, realism, and alignment with production engineering standards.
  • • Identify edge cases, ambiguities, and potential failure modes in both task specifications and peer submissions to ensure high-fidelity evaluation scenarios.
  • • Ensure strict alignment between task specifications, reference code implementations, and expected outputs across diverse software contexts.
  • • Work independently on a project-based, part-time consultant basis with full control over schedule and workload.
  • • Contribute to the creation of realistic software engineering evaluation tasks used by a leading AI lab to assess technical proficiency.
  • • Operate in a remote environment with no requirement for physical office presence or fixed working hours.
  • • Use your own tools and infrastructure; no company-provided equipment or software is provided.
  • • Collaborate asynchronously with a distributed team of technical evaluators and project leads.
  • • Deliver high-quality, production-realistic coding tasks with complete reference implementations and validated test artifacts.
  • • Provide structured, actionable feedback on peer submissions, highlighting strengths, weaknesses, and opportunities for improvement.
  • • Participate in project-based engagements that vary in scope and duration, with compensation calculated per completed project based on estimated time and complexity.
  • • Maintain professional written proficiency in English for all documentation, specifications, reviews, and communications.
  • • Navigate and contribute to large, complex, multi-file codebases with minimal guidance.
  • • Apply experience in backend or full-stack development to design tasks that reflect real-world engineering challenges.
  • • Perform code reviews and refactoring analyses as part of task design and peer evaluation processes.
  • • Manage concurrent engagements with other vendors or employers, provided they do not conflict with this role’s terms.

🎯 Requirements

  • • 3–7 years of professional software engineering experience
  • • Strong proficiency in Python and JavaScript/TypeScript
  • • 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
  • • Advanced professional written proficiency in English

🏖️ Benefits

  • • Project-based compensation paid per completed task
  • • Full flexibility to set your own schedule and workload
  • • Ability to work remotely from anywhere in the Netherlands
  • • Opportunity to work with a leading AI lab on high-impact technical evaluation projects
  • • Ability to simultaneously engage with other vendors or employers (subject to their policies)
  • • No requirement to use company-provided tools or equipment

Skills & Technologies

Python
JavaScript
TypeScript
Java
Go
Remote

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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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