Remote | Senior Software Engineer — $100–$150/hour

We are sharing a specialised consulting opportunity for experienced Senior Software Engineers with strong expertise in Python, Java, Rust, C++, Go, TypeScript, algorithms, debugging, feature development, codebase refactoring, DevOps workflows, CI/CD, and performance optimisation to contribute to an advanced AI training and reinforcement-learning environment project.

Selected professionals will create reproducible reinforcement-learning environments that test advanced AI systems on realistic software-engineering workflows. These tasks will reflect common DevOps, CI/CD, debugging, and command-line engineering scenarios using tools such as Git, Docker, GDB, AddressSanitizer, FFmpeg, and related development utilities. Each environment will require reliable validation and a golden reference solution. No prior experience in AI is required.

Key Responsibilities

Reinforcement Learning Environment Development

• Design realistic software-engineering workflows for AI evaluation
• Create reproducible reinforcement-learning environments
• Develop scenarios that reflect practical engineering and debugging tasks
• Define clear task objectives, expected behaviour, and acceptance criteria
• Ensure environments accurately measure technical reasoning and execution

DevOps & CI/CD Workflows

• Develop tasks reflecting common DevOps and CI/CD workflows
• Design scenarios involving build, test, deployment, and automation processes
• Incorporate realistic development-tool interactions into evaluation environments
• Create workflows that require effective use of command-line utilities
• Ensure scenarios reflect practical engineering constraints and failure modes

Debugging & Troubleshooting

• Design and solve complex debugging scenarios
• Work with tools such as GDB, AddressSanitizer, and related diagnostics
• Identify root causes of software failures
• Develop maintainable and technically sound fixes
• Create environments that test structured troubleshooting and diagnostic reasoning

Software Development & Refactoring

• Develop tasks involving feature implementation and code modification
• Refactor existing codebases for maintainability and clarity
• Preserve intended behaviour while improving implementation quality
• Evaluate architectural and implementation trade-offs
• Apply strong software-engineering standards across environments

Performance Optimisation

• Create tasks involving software-performance bottlenecks
• Analyse algorithms, data structures, and implementation efficiency
• Improve scalability, latency, throughput, or resource utilisation
• Validate that performance improvements preserve correctness
• Document optimisation decisions and technical trade-offs clearly

CLI Tool & Engineering Workflow Design

• Build scenarios using common engineering tools such as Git and Docker
• Incorporate debugging, build, media-processing, and system utilities where relevant
• Design tasks requiring correct sequencing of technical actions
• Evaluate whether workflows are completed accurately and efficiently
• Ensure environments resemble realistic software-development processes

Verification & Golden Reference Solutions

• Create golden reference solutions for each evaluation environment
• Develop deterministic validation methods
• Define objective criteria for successful task completion
• Ensure verification distinguishes correct, incomplete, and incorrect solutions
• Maintain reproducibility across repeated environment executions

Ideal Profile

• Strong professional software-engineering experience
• Proficiency in one or more of C++, Python, Java, Go, TypeScript, or Rust
• Deep understanding of algorithms and data structures
• Strong performance-tuning and optimisation skills
• Demonstrated experience debugging complex software systems
• Strong background in feature implementation and codebase refactoring
• Experience working with DevOps or CI/CD workflows
• Familiarity with command-line engineering tools such as Git, Docker, GDB, AddressSanitizer, or comparable utilities
• Proven ability to develop maintainable and scalable software solutions
• Experience with large-scale or distributed codebases is highly valuable
• Strong code-review experience and familiarity with software best practices
• Excellent written and verbal technical communication skills
• Strong attention to detail
• Comfortable collaborating across cross-functional and remote teams
• Familiarity with modern AI or machine-learning systems is advantageous but not required
• No prior AI-training experience is required

Engagement Details

• Part-time independent contractor engagement
• Fully remote and open globally
• Expected commitment: approximately 15 hours per week
• Displayed compensation range: $100–$150/hour
• Actual compensation structure is output-based, with payment made per task that meets project specifications
• Task completion time may vary depending on individual experience and workflow
• Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
• Work will involve reinforcement-learning environment creation, DevOps and CI/CD workflows, debugging, command-line tools, feature implementation, codebase refactoring, performance optimisation, deterministic validation, and golden reference solutions
• Screening includes an approximately 30-minute AI interview
• A technical assessment may also be included before hiring-manager review
• Roles are typically filled within approximately 48 hours
• Selected experts are expected to begin initial tasks within approximately 24–48 hours after onboarding
• Project scope, workload, technical environments, and evaluation standards may evolve depending on project requirements
• 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.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy