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Software Engineering AI Trainer (Latin America)

Job Overview

Location

Colombia - Fully Remote

Job Type

Part-time

Category

Software Engineer

Date Posted

March 28, 2026

Full Job Description

đź“‹ Description

  • • This role involves serving as a Software Engineering AI Trainer for Anyone AI Inc., where experienced software engineers from Latin America contribute to the development of high-fidelity, production-realistic coding tasks used to train and evaluate AI systems in software engineering competencies. The work is critical to advancing AI’s ability to understand, generate, and assess code in ways that mirror real-world software development, directly impacting the quality and reliability of AI-powered coding assistants and evaluation tools.
  • • Day-to-day responsibilities include designing and implementing multi-file coding tasks across bug fixing, feature development, refactoring, and test generation; writing clear natural-language specifications and reference implementations; developing and extending unit and integration test suites using frameworks like pytest, Jest, JUnit, xUnit, or Go testing; reviewing peer-generated tasks for correctness, clarity, and realism; identifying edge cases, ambiguities, and potential failure modes; and ensuring alignment between specifications, code, and expected outputs through rigorous validation.
  • • The team at Anyone AI Inc. is a globally distributed, mission-driven organization focused on building the next generation of AI evaluation and training systems for software engineering. Comprised of expert engineers and AI researchers, the company operates with a strong emphasis on technical excellence, collaboration, and innovation, leveraging the diverse expertise of contributors across Latin America to create robust, culturally inclusive, and technically rigorous evaluation benchmarks.
  • • In this role, contributors will deepen their expertise in software design, test-driven development, code quality practices, and AI alignment principles. They will gain hands-on experience in creating evaluation artifacts that push the boundaries of AI capabilities in code understanding, while refining their skills in peer review, technical communication, and systems thinking—positioning them at the forefront of the intersection between software engineering and artificial intelligence.

🎯 Requirements

  • • Advanced professional written proficiency in English
  • • 5–7 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
  • • Experience with code reviews, refactoring, and production migrations

🏖️ Benefits

  • • Fully remote work arrangement from Colombia, enabling flexibility and work-life balance
  • • Part-time, project-based engagement allowing consultants to control their own schedule
  • • Opportunity to contribute to cutting-edge AI training and evaluation systems shaping the future of software engineering
  • • Per-project compensation structure with hourly rate estimates based on anticipated completion time
  • • Ability to simultaneously provide services to other vendors or employers, subject to their allowances
  • • Access to intellectually stimulating work that challenges and expands technical and analytical skills

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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