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[Remote] Remote | Software Engineer (GitHub Contributor) — $50–$100/hour
Note: The job is a remote job and is open to candidates in USA. 24-MAG LLC offers a remote consulting opportunity for experienced software engineers to support AI training and evaluation initiatives. The role involves creating coding challenges, building reproducible evaluation environments and verification systems, developing reference solutions, and assessing software implementations.
Responsibilities
- Design realistic, technically challenging programming tasks based on practical software engineering scenarios
- Develop self-contained coding problems involving bug fixes, feature implementation, refactoring, and performance optimisation
- Apply expertise in Python 3, Java, Rust, Go, C++, TypeScript, or comparable programming languages
- Analyse unfamiliar codebases and translate technical requirements into clear, implementable engineering objectives
- Create coding challenges that reflect authentic software development workflows, system constraints, and engineering best practices
- Build reproducible reinforcement learning environments for evaluating advanced AI coding capabilities
- Design deterministic verification systems that correctly recognise valid software implementations
- Develop comprehensive automated tests that identify incorrect solutions while accepting reasonable alternative implementations
- Produce accurate golden reference solutions for assigned programming challenges
- Validate evaluation environments for reproducibility, technical correctness, and consistency with specified requirements
- Develop and evaluate backend services, APIs, and supporting application components
- Implement robust software features while maintaining scalability, reliability, and code quality
- Apply appropriate algorithms, data structures, and software design principles to complex engineering problems
- Assess code architecture, system behaviour, and implementation decisions against technical requirements
- Contribute practical development expertise to realistic feature delivery and software engineering scenarios
- Investigate complex software defects, implementation errors, and performance bottlenecks across diverse codebases
- Apply systematic debugging approaches to identify underlying issues and implement effective corrections
- Refactor existing and legacy code to improve readability, maintainability, efficiency, and long-term reliability
- Evaluate computational performance, runtime behaviour, and software resource utilisation
- Verify engineering improvements through automated testing, reproducible execution, and structured technical analysis
- Review programming solutions and technical submissions for correctness, clarity, efficiency, and maintainability
- Evaluate peer-contributed code and provide precise, actionable engineering feedback
- Document technical reasoning, implementation decisions, debugging strategies, and verification methodologies
- Communicate sophisticated software engineering concepts through clear written explanations and structured evaluations
- Maintain high standards of technical accuracy, reproducibility, and documentation quality across assigned deliverables
Skills
- Significant hands-on experience in professional software engineering, particularly backend development and complex application systems
- Strong understanding of algorithms, data structures, computational complexity, and foundational computer science principles
- Proven experience developing scalable backend services, APIs, and production software applications
- Practical expertise in debugging, automated testing, code review, and technical problem-solving
- Demonstrated ability to identify and resolve complex software defects and system performance bottlenecks
- Experience implementing substantial features within existing applications or large-scale codebases
- Strong understanding of software architecture, refactoring, maintainability, and legacy system modernisation
- Experience designing reproducible tests and validating implementations against technical specifications
- Ability to develop objective acceptance criteria and explain why a programming solution satisfies defined requirements
- Experience contributing to open-source repositories, reviewing pull requests, or maintaining collaborative software projects is highly relevant
- Strong analytical reasoning, logical thinking, algorithmic problem-solving, and independent engineering judgement
- Ability to navigate unfamiliar codebases and understand complex technical requirements efficiently
- Excellent technical documentation skills, including the ability to explain programming decisions and software modifications clearly
- Strong written communication and constructive code review capabilities
- Experience working independently on technical assignments and producing reproducible software deliverables
- Demonstrated expertise in at least one of the following programming languages: Python 3, Java, Rust, Go, C++, or TypeScript
- Prior experience with AI model training or evaluation projects is not required
- Demonstrable GitHub or comparable open-source contributions are preferred; candidates without a sufficiently representative portfolio may complete an alternative HackerRank assessment
- Familiarity with reinforcement learning environments, coding benchmarks, or AI software engineering evaluation is advantageous
- Interest in advanced AI technologies and automated programming systems is beneficial
Benefits
- Fully remote — open worldwide
Company Overview
