Software Engineer - Backend - Remote
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Role details
Tech stack
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Job description
We are seeking experienced Backend Software Engineers to support an AI training project focused on building reinforcement learning environments that test AI models against real-world software engineering challenges., * Create challenging coding tasks based on real software repositories.
- Design problems involving complex bugs, non-trivial features, and performance improvements.
- Build reproducible environments for each task.
- Develop deterministic verifiers that accept valid implementations and reject incorrect, incomplete, or hard-coded solutions.
- Provide reference solutions demonstrating correct approaches.
- Identify and flag ambiguous or unverifiable tasks.
Requirements
Software Engineering, Software Engineering, Reinforcement Learning, Testing, Artificial Intelligence (AI), Software Administration, Performance Tuning/Optimization, Refactoring, Debugging Skills, Performance Management, * Strong hands-on experience in at least one of Python, Java, Rust, Go, C++, or TypeScript.
- Deep understanding of algorithms, data structures, and software engineering principles.
- Proven ability to debug complex systems and optimize software performance.
- Experience with feature development, codebase refactoring, or legacy system modernization.
- Strong technical documentation and communication skills.
Benefits & conditions
ENGAGEMENT DETAILS
- Approximately 15 hours per week with flexible scheduling.
- Estimated task duration: 5 hours for trainers and 1.5 hours for reviewers.
- Project-based contractor engagement.
- Selected candidates should be ready to begin within 24-48 hours after onboarding., $50-$100 per hour equivalent, with payment based on approved tasks meeting project specifications. Actual earnings depend on task availability, complexity, and completion time.
Annualized equivalent: $96,000-$192,000, based on 40 hours per week and 48 working weeks per year.
Annualized compensation is an illustrative equivalent based on 40 hours/week Γ 48 weeks/year. Actual earnings depend on hours worked, project availability, and approved work.
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