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Full-Stack Developer - AI Trainer (Colombia)

Job Overview

Location

Colombia - Fully Remote

Job Type

Part-time

Category

Product Marketing Manager

Date Posted

May 25, 2026

Full Job Description

đź“‹ Description

  • • Design and implement multi-file coding tasks focused on bug resolution, feature implementation, refactoring, and test generation for AI training datasets.
  • • Write clear, precise natural-language specifications that define coding challenges and their expected outcomes.
  • • Develop and extend unit and integration test suites using frameworks such as pytest, Jest, JUnit, xUnit, or Go testing to validate code correctness.
  • • Review peer-generated coding tasks for correctness, clarity, realism, and alignment with specifications.
  • • Identify edge cases, ambiguities, and potential failure modes in coding scenarios to improve task quality and robustness.
  • • Ensure strict alignment between natural-language specifications, reference implementations, and expected outputs in all assigned tasks.
  • • Navigate and debug large, complex, multi-file codebases to produce production-realistic software engineering scenarios.
  • • Perform code reviews and refactoring of existing code to simulate real-world development workflows.
  • • Contribute to production migrations by designing tasks that reflect actual system upgrades or architectural changes.
  • • Deliver structured, actionable feedback on peer submissions, highlighting strengths, weaknesses, and opportunities for improvement.
  • • Work on a project-based, part-time basis with full autonomy over schedule and workload.
  • • Provide all necessary tools and infrastructure; no company equipment is provided.
  • • Maintain professional written proficiency in English at an advanced level for all documentation, specifications, and feedback.
  • • Collaborate remotely with a global team of AI trainers and engineers to enhance the quality of AI training data.
  • • Accept payment on a per-project basis, with rates estimated based on anticipated completion time.
  • • May simultaneously engage with other vendors or employers, provided such arrangements comply with their respective policies.

🎯 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

  • • Project-based compensation with per-task payment structure
  • • Full schedule autonomy and flexible work hours
  • • Opportunity to work remotely with a global AI research team
  • • Ability to concurrently engage with other vendors or employers
  • • selected_category": "Full-Stack Engineer",
  • • "parent_category": "Engineering",
  • • "confidence": 0.98,
  • • "reasoning": "The job title explicitly states 'Full-Stack Developer' and the responsibilities involve full-stack development tasks including backend and frontend coding, testing, refactoring, and production system experience. The role requires software engineering skills in Python, JavaScript/TypeScript, and testing frameworks, aligning precisely with the Full-Stack Engineer category. No ambiguity exists in the title or duties.",
  • • "city": null,
  • • "region": null,
  • • "country_code": null,
  • • "is_remote": true
  • • }

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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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