Job Overview
Location
Brazil
Job Type
Contract
Category
Software Engineering
Date Posted
July 4, 2026
Full Job Description
📋 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 standards, identifying edge cases, ambiguities, and potential failure modes.
- • Ensure strict alignment between task specifications, reference code, and expected outputs to maintain high-quality evaluation benchmarks for AI training and assessment.
- • Navigate and debug large, complex, multi-file codebases to understand system architecture and identify areas for improvement or risk.
- • Participate in code reviews and refactoring efforts to enhance code quality, maintainability, and scalability in real-world software environments.
- • Contribute to production migrations by designing and validating transitions that preserve system integrity and performance.
- • Work independently on a project-based, part-time consultant basis with full control over schedule and workload.
- • Deliver high-quality, production-realistic coding tasks and validation artifacts that serve as evaluation benchmarks for an AI lab.
- • Provide structured, actionable feedback on peer submissions to ensure consistency, accuracy, and educational value in task evaluation.
- • Use Python as the primary development language, with proficiency in JavaScript/TypeScript and working knowledge of Java, C#, or Go to support diverse task design.
- • Operate remotely with no fixed hours, using personal tools and equipment, and maintain the flexibility to engage with other vendors or employers as permitted by their policies.
- • Be compensated on a per-project basis, with payment determined by estimated completion time rather than hourly rate.
- • Collaborate asynchronously with a global team of experts to evaluate and refine software engineering tasks used in AI model training and performance assessment.
🎯 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
- • Flexible, remote work with full schedule control
- • Project-based compensation with no fixed hours
- • Ability to work simultaneously with other vendors or employers (subject to their policies)
- • Opportunity to contribute to cutting-edge AI research through realistic software engineering task design
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
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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