Job Overview
Location
United Kingdom
Job Type
Contract
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Design and implement multi-file software engineering tasks focused on bug resolution, feature implementation, refactoring, and test generation in production-like environments.
- • Write clear, precise natural-language specifications that define coding challenges and expected outcomes for AI training purposes.
- • Develop and extend comprehensive unit and integration test suites using industry-standard frameworks such as pytest, Jest, JUnit, xUnit, or Go testing.
- • Review peer-generated coding tasks for correctness, clarity, realism, and alignment with production software engineering standards.
- • Identify edge cases, ambiguities, logical inconsistencies, and potential failure modes in both task specifications and submitted code solutions.
- • Ensure strict alignment between task specifications, reference implementations, and expected outputs to maintain high-fidelity training data for AI models.
- • Navigate and analyze large, complex multi-file codebases to evaluate code quality, architecture decisions, and maintainability.
- • Perform code reviews that assess adherence to best practices, readability, performance, and scalability in real-world software systems.
- • Contribute to the creation of production-realistic coding scenarios that simulate actual developer workflows and challenges faced in industry settings.
- • Deliver structured, actionable feedback on peer submissions, highlighting strengths, weaknesses, and opportunities for improvement.
- • Maintain consistent quality across all deliverables, ensuring tasks are reproducible, unambiguous, and technically accurate.
- • Work independently on a project-based, part-time basis with full control over schedule and workflow.
- • Use personal tools and infrastructure to complete assignments; no company-provided equipment is provided.
- • Collaborate asynchronously with a distributed team of software engineering experts to refine and validate AI training datasets.
- • Accept project assignments on a per-task basis and deliver completed work within agreed-upon timelines without fixed hourly commitments.
- • Maintain professional written proficiency in English at an advanced level to produce clear, grammatically correct, and technically precise documentation and feedback.
- • Simultaneously engage with other vendors or employers, provided such arrangements do not conflict with confidentiality or contractual obligations from Anyone AI.
🎯 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 restrictions within the United Kingdom
- • Payment on a per-project basis with rates determined by anticipated task complexity and completion time
- • Ability to work concurrently with other vendors or employers (subject to their policies)
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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