We are sharing a specialised remote consulting opportunity for experienced Software Engineers and GitHub Contributors with strong expertise in backend development, open-source software, algorithms, codebase refactoring, debugging, and performance optimisation to contribute their technical knowledge to advanced AI training and evaluation initiatives.
Selected professionals will develop realistic software engineering challenges, construct reproducible reinforcement learning environments, implement deterministic verification systems, and produce accurate reference solutions for complex programming tasks. The work combines practical engineering expertise with codebase analysis, feature implementation, automated testing, and technical evaluation to improve the coding, debugging, and problem-solving capabilities of advanced AI systems. Prior experience with AI training projects is not required.
Key Responsibilities
Software Engineering & Coding Challenge Development
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
Reinforcement Learning Environments & Deterministic Verification
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
Backend Development & Feature Engineering
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
Debugging, Refactoring & Performance Optimisation
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
Code Review, Technical Documentation & Quality Assurance
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
Ideal Profile
Significant hands-on experience in professional software engineering, particularly backend development and complex application systems
Demonstrated expertise in at least one of the following programming languages: Python 3, Java, Rust, Go, C++, or TypeScript
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
Demonstrable GitHub or comparable open-source contributions are preferred; candidates without a sufficiently representative portfolio may complete an alternative HackerRank assessment
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
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
Prior experience with AI model training or evaluation projects is not required
Engagement Details
Freelance / contract engagement
Fully remote — open worldwide
Compensation: $50–$100/hour advertised rate range
Payment Structure: Output-based compensation, with payment made per completed task that meets project specifications
Estimated Task Duration: Approximately 15 hours per task/run
Minimum weekly task submission requirements apply
100 available openings
Specialised software engineering consulting role spanning GitHub contributions, backend development, reinforcement learning environments, and AI coding evaluation
Technical Focus: Python 3, Java, Rust, Go, C++, TypeScript, debugging, feature implementation, refactoring, and performance optimisation
Portfolio Requirement: Demonstrable open-source contributions through GitHub or a comparable profile; an alternative technical assessment may be required
Work will involve developing coding challenges, building reproducible evaluation environments, implementing deterministic verifiers, and producing golden reference solutions
Assignments will require accurate programming implementations, automated validation, and clear documentation of technical decisions
Selection may include screening questions, an approximately 20-minute AI interview, a technical assessment where applicable, and a hiring manager review
Assessment Requirement: Interviews and technical assessments must be completed independently, without AI assistants or help from other individuals
Selected professionals should be prepared to begin initial assignments within 24–48 hours of completing onboarding
Previous experience with AI training projects is not required
Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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