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Backend Developer - AI Trainer (Chile)

Job Overview

Location

Chile

Job Type

Part-time

Category

Software Engineer

Date Posted

May 16, 2026

Full Job Description

đź“‹ Description

  • • Design and implement complex, multi-file coding tasks focused on bug resolution, feature implementation, refactoring, and migration within production-like environments.
  • • Write clear, precise natural-language specifications that define coding problems and expected outcomes for AI training purposes.
  • • Develop and extend comprehensive unit and integration test suites using industry-standard frameworks such as pytest, Jest, JUnit, xUnit, or Go testing.
  • • Create reference implementations that serve as correct, executable solutions to the coding tasks you design, ensuring they meet production-grade standards.
  • • Review peer-generated coding tasks and submissions to evaluate correctness, clarity, realism, and alignment with specifications.
  • • Identify edge cases, ambiguities, logical flaws, and potential failure modes in both task designs and peer submissions.
  • • Ensure strict alignment between task specifications, reference code, test suites, and expected outputs to maintain training data integrity for AI systems.
  • • Work within large, complex codebases to simulate real-world software engineering challenges encountered in professional environments.
  • • Participate in code review cycles by providing structured, actionable feedback on the quality, efficiency, and maintainability of peer implementations.
  • • Contribute to the continuous improvement of AI training datasets by producing high-fidelity, production-realistic software engineering scenarios.
  • • Manage your own schedule as a part-time, project-based consultant, with flexibility to work on multiple vendor projects concurrently, subject to other employers’ policies.
  • • Operate remotely with full autonomy over tools and workflow; no company-provided hardware or software is provided.
  • • Deliver completed projects on deadline with documented artifacts including task specs, reference code, test coverage reports, and peer review summaries.
  • • Collaborate asynchronously with global teams to ensure consistency in task quality and alignment with AI training objectives.
  • • Maintain advanced written proficiency in English to author clear, unambiguous specifications and feedback for non-native English-speaking contributors.
  • • Engage in iterative refinement of tasks based on feedback from the AI lab team to improve task realism and evaluation reliability.
  • • Demonstrate consistent ability to navigate, debug, and refactor substantial codebases across multiple languages and architectures.

🎯 Requirements

  • • 3–7 years of professional software engineering experience
  • • Advanced professional written proficiency in English
  • • 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

🏖️ Benefits

  • • Project-based, part-time consultant role with flexible scheduling
  • • Remote work with full autonomy over tools and workflow
  • • Opportunity to work with a leading AI lab on cutting-edge training data
  • • Ability to concurrently provide services to other vendors/employers (subject to their policies)
  • • Per-project compensation based on estimated completion time
  • • No required fixed hours or mandatory team meetings

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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