
Job Overview
Location
Paraguay
Job Type
Part-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
📋 Description
- • Design and implement multi-file coding tasks focused on bug resolution, feature implementation, refactoring, and test generation for AI training datasets.
- • Write clear, precise natural-language specifications that define coding problems and their expected outcomes, ensuring alignment with real-world software engineering scenarios.
- • 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 accuracy, clarity, realism, and adherence to production standards, identifying ambiguities, logical flaws, and potential failure modes.
- • Provide structured, actionable feedback on peer submissions, evaluating code quality, design decisions, and test coverage completeness.
- • Navigate and analyze large, complex multi-file codebases to simulate realistic software engineering challenges encountered in production environments.
- • Refactor existing codebases to improve maintainability, readability, and performance while preserving functional integrity.
- • Migrate legacy code components to modern architectures or frameworks, ensuring backward compatibility and minimal disruption.
- • Create reference implementations that serve as correct, high-quality solutions to the coding tasks designed, demonstrating best practices in software engineering.
- • Ensure all deliverables — specifications, code, and tests — are consistent, well-documented, and aligned with expected outputs for AI model training purposes.
- • Work independently on a project-based, part-time basis with full control over schedule and workflow, while maintaining high standards of quality and timeliness.
- • Collaborate asynchronously with a global team of engineers and evaluators, delivering outputs that meet strict quality benchmarks for AI training applications.
- • Use professional-grade development tools of your choice; no company-provided hardware or software is provided.
- • Contribute to multiple projects simultaneously, subject to the terms and allowances of other vendors or employers you may work with.
- • Receive payment on a per-project basis, with rates estimated based on anticipated task complexity and completion time.
🎯 Requirements
- • Advanced professional written proficiency in English
- • 3–7 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
🏖️ Benefits
- • Flexible, part-time, project-based work with control over schedule
- • Payment on a per-project basis with no fixed hourly rate
- • Ability to work remotely from anywhere in Paraguay
- • Opportunity to work with a leading AI lab on high-impact training data
- • Permission to simultaneously provide services to other vendors/employers (subject to their policies)
- • Use of personal tools and equipment — no company-provided resources required
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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