[Hiring] AI Engineer @24-MAG

Role Description

We are sharing a specialised part-time consulting opportunity for experienced software engineers with strong expertise in Python, Java, Rust, C++, Go, TypeScript, algorithms, debugging, feature implementation, 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 an AI model's ability to solve complex software-engineering problems using Model Context Protocol (MCP) tools. The work combines realistic codebase tasks, tool-based reasoning, deterministic verification, and the creation of high-quality reference solutions. No prior experience in AI is required.

Key Responsibilities

• Reinforcement Learning Environment Development
  • Create reproducible environments for evaluating advanced software-engineering capability
  • Design tasks requiring agents to interact with and reason over real MCP servers
  • Build scenarios that test practical engineering ability rather than isolated code generation
  • Ensure environments accurately measure both tool use and software-engineering performance
  • Maintain consistency and reproducibility across evaluation runs
• Software Engineering Task Design
  • Create realistic tasks involving bug fixing, feature implementation, refactoring, and performance optimisation
  • Develop scenarios based on existing codebases and practical engineering constraints
  • Design tasks that require meaningful reasoning across algorithms, data structures, and system behaviour
  • Define clear success criteria and expected outcomes
  • Balance technical complexity with reliable evaluability
• Golden Solutions & Verification
  • Develop high-quality golden reference solutions
  • Create deterministic verification logic for task completion
  • Validate expected behaviours, edge cases, and failure conditions
  • Ensure evaluation systems distinguish correct from partially correct implementations
  • Maintain stable and reproducible grading criteria
• Debugging, Refactoring & Performance
  • Diagnose and resolve complex software issues
  • Implement maintainable features in existing codebases
  • Refactor code while preserving intended functionality
  • Identify performance bottlenecks and scalability issues
  • Apply strong engineering judgement to maintainability, efficiency, and code quality
• Technical Review & Engineering Standards
  • Review task quality, code correctness, and verification robustness
  • Contribute to software-engineering best practices
  • Participate in rigorous technical and code-review workflows
  • Document assumptions, design decisions, and implementation details clearly
  • Collaborate effectively with distributed technical teams

Qualifications

• Strong proficiency in one or more of C++, Python, Java, Go, TypeScript, or Rust
• Deep understanding of algorithms, data structures, and performance tuning
• Demonstrated experience debugging complex software issues
• Strong background in feature implementation and codebase refactoring
• Proven ability to optimise software for performance and scalability
• Experience working with large-scale or distributed codebases is highly valuable
• Familiarity with rigorous code-review processes and software-engineering standards
• Strong written and verbal communication skills
• High attention to technical detail and reproducibility
• Familiarity with modern AI or machine-learning systems is beneficial but not required
• Prior experience in AI training or model evaluation is not required

Engagement Details

• Part-time independent contractor engagement
• Fully remote
• Compensation: $60–$120/hour
• Expected commitment: approximately 15 hours per week
• Schedule is flexible, including evenings or weekends if preferred
• Compensation is output-based, with payment made for tasks that meet project specifications
• Minimum weekly submission requirements apply
• Work will involve reinforcement-learning environment design, MCP tool use, software-engineering task creation, deterministic verification, and golden reference solutions
• The selection process may include screening questions, an approximately 30-minute AI interview, a technical assessment, and hiring-manager review
• Selected professionals should be prepared to begin their first tasks within approximately 24–48 hours of completing onboarding
• Roles are typically filled within approximately 48 hours
• Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party

Company Description

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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