micro1 · Worldwide · Full-time · Remote
Opportunity Snapshot
Pay: $50–100
Time per task: 5 hours for trainers and 1.5 hours for reviewers
Engagement: Project-based — paid per approved task
Commitment: ~15 hours per week
Location: Fully remote
You’ll need: Hands-on expertise in at least one of Python, Java, Rust, Go, C++, or TypeScript
Your tasks: Build challenging coding problems from real repositories, with reproducible environments and verifiers
Role Title: Software Engineer - Backend
Role Type: Contractor (~15 hrs a week)
Location: Remote
You’ll create Reinforcement Learning Environments that test a model’s ability to solve real software engineering problems: tracking down subtle bugs, building non-trivial features, refactoring, and optimizing performance. Each task means defining the problem, building a reproducible environment, and writing a reference solution.
Scope of Work
• Create realistic, challenging coding tasks for frontier AI models, drawn from repositories you know well.
• Design problems that require real engineering skill — subtle bugs, non-trivial features, meaningful performance work — not lookup or boilerplate.
• Build a reproducible environment for each task.
• Write deterministic verifiers that accept correct solutions across different valid implementations, while rejecting incorrect, incomplete, or hard-coded approaches.
• Provide a reference solution showing how the task can be solved.
• Flag tasks that turn out to be ambiguous or unverifiable rather than submitting them.
Preferred Qualifications
• Significant hands-on expertise in at least one of: Python3, Java, Rust, Go, C++, or TypeScript.
• Deep understanding of algorithms, data structures, and software engineering principles.
• Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
• Experience with large codebase refactoring and legacy system modernization.
• Track record of delivering high-impact features from conception through delivery.
• Strong documentation and communicat