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Python Developer - Remote in Brazil

Job Overview

Location

Brazil

Job Type

Contract

Category

Software Engineering

Date Posted

May 22, 2026

Full Job Description

đź“‹ 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 activities to enhance code quality, maintainability, and scalability of evaluated solutions.
  • • Contribute to production migrations by designing and validating transition strategies that minimize risk and ensure system integrity.
  • • Work independently on a project-based, part-time basis with full control over schedule and workload timing.
  • • Deliver high-quality, production-realistic coding tasks that simulate real-world software engineering challenges for use by a leading AI lab.
  • • Generate structured, actionable feedback on peer submissions, focusing on technical accuracy, code clarity, and adherence to best practices.
  • • Provide complete and correct reference implementations alongside validation artifacts such as test coverage reports and execution logs.
  • • Maintain professional written proficiency in English to produce clear, unambiguous technical documentation and feedback.
  • • Operate as an independent contractor using personal tools and equipment; no company-provided hardware or software is supplied.
  • • May concurrently provide services to other vendors or employers, provided such arrangements do not conflict with project obligations or confidentiality requirements.
  • • Engage in expert evaluation work that directly supports AI model training through realistic, human-curated software engineering scenarios.

🎯 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 rates estimated based on anticipated completion time
  • • Full flexibility to set own schedule and work hours
  • • Ability to work remotely from anywhere in Brazil
  • • Opportunity to work with a leading AI lab on high-impact evaluation tasks
  • • Permission to concurrently engage with other vendors or employers (subject to their policies)
  • • No requirement for company-provided tools or equipment — use your own

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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