
Job Overview
Location
Chile
Job Type
Part-time
Category
Software Engineer
Date Posted
May 19, 2026
Full Job Description
📋 Description
- • Design and implement multi-file software engineering tasks focused on bug resolution, feature implementation, refactoring, and migration within production-like environments
- • Write clear, precise natural-language specifications that define coding challenges and expected outcomes for AI training datasets
- • Develop and extend comprehensive unit and integration test suites using industry-standard frameworks such as pytest, Jest, JUnit, xUnit, or Go testing
- • Create accurate reference implementations in Python, JavaScript/TypeScript, and optionally Java, C#, or Go to serve as ground truth for AI model evaluation
- • Review peer-generated coding tasks and submissions for correctness, clarity, realism, and adherence to software engineering best practices
- • Identify edge cases, ambiguities in requirements, potential failure modes, and inconsistencies between specifications and code outputs
- • Ensure strict alignment between natural-language task descriptions, implemented code, and expected system behavior
- • Contribute to the continuous improvement of AI training datasets by enhancing task complexity, realism, and pedagogical value
- • Work remotely on a project-based, part-time basis with full control over schedule and workload
- • Deliver high-quality, production-realistic coding scenarios that simulate real-world software engineering challenges encountered in professional environments
- • Collaborate asynchronously with a global team of engineers to refine evaluation criteria and task quality standards
- • Maintain consistent output quality across diverse codebases and programming languages while adhering to strict technical and linguistic guidelines
- • Provide structured, actionable feedback on peer submissions, highlighting strengths, weaknesses, and opportunities for improvement
- • Utilize own tools, environments, and development workflows without dependency on company-provided infrastructure
- • Participate in periodic quality assurance cycles to validate task accuracy and alignment with evolving AI training objectives
- • Contribute to iterative refinement of evaluation rubrics based on observed model performance and task difficulty
- • Maintain professional written proficiency in English at an advanced level to produce unambiguous specifications and feedback
- • Operate as an independent contractor eligible to provide services to other vendors simultaneously, subject to their policies
🎯 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
- • Project-based, part-time engagement with flexible scheduling
- • Remote work with no location constraints
- • Payment on a per-project basis based on estimated completion time
- • Opportunity to work with a leading AI lab on cutting-edge machine learning training data
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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