
Job Overview
Location
Colombia - Fully Remote
Job Type
Contract
Category
Software Engineering
Date Posted
May 22, 2026
Full Job Description
đź“‹ Description
- • Design and implement multi-file Python-based coding tasks focused on bug resolution, feature development, refactoring, and test generation for production-realistic software engineering scenarios.
- • Write clear, precise natural-language specifications and reference implementations that accurately define expected behavior and implementation requirements.
- • 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 edge case handling.
- • Review peer-generated coding tasks for correctness, clarity, realism, and alignment with specifications, identifying ambiguities, edge cases, and potential failure modes.
- • Ensure strict alignment between task specifications, reference code implementations, and expected outputs across all evaluated submissions.
- • Navigate and debug large, complex, multi-file codebases to assess code quality, maintainability, and adherence to best practices.
- • Participate in structured code review processes, providing actionable feedback on code structure, performance, readability, and test coverage.
- • Contribute to production migrations and code refactoring initiatives by designing realistic scenarios that simulate real-world engineering challenges.
- • Operate as an independent project-based consultant with full control over schedule, tools, and workflow, while maintaining high standards of deliverable quality.
- • Work remotely on a part-time, project-based engagement with no fixed hours or mandatory availability, allowing flexibility to manage multiple vendor relationships concurrently (subject to their policies).
- • Deliver high-quality, production-grade coding tasks that reflect real-world software engineering environments, including realistic constraints, dependencies, and edge cases.
- • Generate robust validation artifacts including test suites, reference implementations, and detailed review feedback to support AI model evaluation and training.
- • Collaborate asynchronously with a global team of engineers and evaluators to maintain consistency in task quality and evaluation criteria across submissions.
- • Maintain professional written proficiency in English to produce clear, unambiguous specifications, feedback, and documentation for technical and non-technical audiences.
- • Apply 3–7 years of professional software engineering experience to design tasks that accurately represent industry-standard development workflows and challenges.
- • Utilize strong proficiency in Python and JavaScript/TypeScript, with working knowledge of Java, C#, or Go to create diverse and technically rich coding scenarios.
- • Engage in end-to-end software development lifecycle activities including design, implementation, testing, review, and migration simulation within project-based deliverables.
🎯 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 compensation paid per task with flexible, self-determined scheduling
- • Ability to work fully remotely with no location restrictions within Colombia
- • Opportunity to work with a leading AI lab on cutting-edge model evaluation projects
- • Flexibility to concurrently provide services to other vendors or employers (subject to their policies)
- • Full autonomy over tools, environment, and workflow
- • No fixed hours or mandatory availability — work on your own terms
Skills & Technologies
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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