Senior Software Engineer

Role overview

You will help train next-generation AI systems by building reinforcement learning (RL) environments that test an AI model’s ability to solve complex software engineering workflows. No prior AI experience is required—your domain knowledge in software engineering and debugging is what matters.

Responsibilities

• Create reproducible RL environments with a golden reference solution
• Implement and validate RL tasks that reflect real-world workflows
• Model-focused evaluation of software engineering steps (e.g., DevOps/CI/CD/debugging-style workflows)
• Develop solutions that are maintainable and performance-aware

Required skills / qualifications

• Proficiency in one or more of: C++, Python, Java, Go, TypeScript, or Rust
• Strong understanding of algorithms, data structures, and performance tuning
• Demonstrated ability to debug complex software issues and deliver maintainable solutions
• Experience with feature development and codebase refactoring
• Ability to optimize for performance and scalability
• Excellent written and verbal communication and strong attention to detail
• Experience working in collaborative, cross-functional teams (remote experience preferred)

Preferred qualifications

• Experience with large-scale, distributed codebases
• Familiarity with modern AI/ML systems (helpful, not required)
• Participation in rigorous code reviews and contributing to software best practices

Process

• Apply and answer screening questions
• Complete an AI interview (~30 minutes)
• Technical assessment (tentative)
• Hiring manager review

Compensation & schedule

• Output-based pay: experts are paid per task that meets project specifications
• Approximate commitment: ~15 hrs/week
• Minimum submission requirements and weekly minimum tasks apply

Start timeline

• Roles are typically filled quickly (within 48 hours)
• Expect to begin first tasks 24–48 hours after onboarding completion