Senior Software Engineer

Senior engineers build reinforcement learning environments that test whether an AI model can complete real software engineering workflows, such as DevOps, CI/CD and debugging jobs run with command line tools like git, docker and gdb. Each environment must be reproducible and ship with a golden reference solution. The contract is remote worldwide at about 15 hours a week, paid per accepted task with no rate stated.

What you would do

• Create reproducible RL environments that test a model on complex software engineering workflows
• Base tasks on DevOps, CI/CD and debugging work using CLI tools such as git, docker, gdb and ffmpeg
• Write a golden reference solution for every environment
• Meet the weekly minimum number of task submissions the project sets

What the listing asks for

• Proficiency in C++, Python, Java, Go, TypeScript or Rust
• Deep understanding of algorithms, data structures and performance tuning
• Proven experience debugging complex issues, building features and refactoring codebases
• Readiness to start first tasks within 24 to 48 hours of finishing onboarding
• Preferred: work on large distributed codebases and rigorous code review experience

Suits senior engineers fluent in command line tooling who like building self-contained, testable problems and can start quickly.

The listing does not state a rate. Where: Remote, worldwide. Time: About 15 hours a week. Contract work for micro1, a company that hires experts for AI training projects.

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