We are sharing a specialised consulting opportunity for experienced Senior Software Engineers with strong expertise in Python3, Java, Rust, Go, C++, TypeScript, algorithms, debugging, feature development, codebase refactoring, and performance optimisation to contribute to an advanced AI training and software-engineering evaluation project.
Selected professionals will create reinforcement-learning environments that test advanced AI systems on realistic software-engineering problems involving bug fixing, feature implementation, refactoring, and performance optimisation. Each environment will require a reproducible technical setup together with a high-quality golden reference solution demonstrating the expected engineering approach. No prior experience in AI is required.
Key Responsibilities
Reinforcement Learning Environment Development
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Create realistic software-engineering environments for AI evaluation
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Design tasks involving debugging, feature development, refactoring, and optimisation
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Build reproducible environments that allow technical solutions to be evaluated consistently
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Define clear problem statements, constraints, and expected outcomes
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Develop golden reference solutions demonstrating correct engineering approaches
Software Development & Feature Implementation
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Contribute expert-level code across Python3, Java, Rust, Go, C++, or TypeScript
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Implement robust new functionality within existing codebases
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Apply sound software-engineering principles to real-world development scenarios
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Ensure new features are maintainable, scalable, and appropriately tested
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Evaluate trade-offs across different implementation approaches
Debugging & Defect Resolution
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Analyse complex software defects across varied codebases
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Identify root causes rather than applying superficial fixes
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Develop effective debugging strategies for difficult technical problems
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Resolve correctness, reliability, and integration issues
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Document reasoning behind technical diagnoses and fixes
Codebase Refactoring & Modernisation
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Refactor legacy or difficult-to-maintain code
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Improve structure, readability, modularity, and long-term maintainability
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Preserve required behaviour while improving implementation quality
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Identify unnecessary complexity and architectural weaknesses
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Apply modern software-engineering practices to existing systems
Performance Optimisation
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Identify performance bottlenecks across software systems
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Analyse algorithmic and implementation-level inefficiencies
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Improve runtime performance and resource usage where appropriate
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Validate that optimisations preserve correctness
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Explain technical trade-offs and performance impact clearly
Code Review & Technical Validation
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Review peer-contributed code and technical submissions
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Evaluate solutions for correctness, clarity, efficiency, and maintainability
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Identify hidden defects, unsupported assumptions, or incomplete reasoning
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Provide constructive technical feedback
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Validate that submissions satisfy task and environment requirements
Technical Documentation & Reasoning
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Document implementation decisions and solution approaches clearly
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Explain debugging, refactoring, and optimisation strategies
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Record technical assumptions and relevant trade-offs
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Produce documentation that supports reproducibility and evaluation
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Translate complex engineering reasoning into precise written explanations
Ideal Profile
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Significant professional software-engineering experience
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Strong hands-on expertise in at least one of Python3, Java, Rust, Go, C++, or TypeScript
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Deep understanding of algorithms and data structures
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Strong command of software-engineering fundamentals
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Proven ability to debug complex systems and resolve difficult defects
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Experience implementing substantial product or platform features
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Strong background in codebase refactoring and legacy-system modernisation
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Experience identifying and resolving performance bottlenecks
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Ability to reason across large and unfamiliar codebases
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Strong technical documentation and communication skills
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Experience taking high-impact features from concept through delivery is highly valuable
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Comfortable reviewing and validating other engineers' work
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Interest in AI and advanced technical evaluation is beneficial
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No prior AI-training experience is required
Engagement Details
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Independent contractor engagement
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Fully remote
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Expected commitment: approximately 15 hours per week
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Displayed compensation range: $50–$100/hour
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Actual compensation structure is output-based, with payment made per task that meets project specifications
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Task completion time may vary depending on individual experience and workflow
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Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
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Work will involve reinforcement-learning environment creation, software development, debugging, feature implementation, refactoring, performance optimisation, and technical validation
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Each task may require a reproducible environment and golden reference solution
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Roles are typically filled within approximately 48 hours
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Selected experts are expected to begin initial tasks within approximately 24–48 hours after onboarding
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Project scope, workload, technical domains, and evaluation standards may evolve depending on project requirements
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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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