Contract Software Engineer - Reinforcement Learning Backend Development
Remote
AI Summary
Build and maintain reinforcement learning environments for backend programming tasks. Write backend services in Java, Python, Node.js, Go, or Rust with high test coverage and code review. Collaborate asynchronously with distributed teams on scalable systems and AI model quality.
Key Highlights
Contract position with $40-$75 hourly compensation
Reinforcement learning environment development for backend
Remote work with 10-40 hours per week commitment
Key Responsibilities
Build and maintain reinforcement learning environments for backend programming tasks
Write backend services and supporting code using Java, Python, Node.js, Go, or Rust
Develop thorough unit and integration tests to ensure high test coverage
Review code for correctness, performance, maintainability, and security, providing clear feedback
Solve programming tasks and document technical reasoning to enhance AI model quality
Collaborate asynchronously with a distributed team and document engineering decisions
Technical Skills Required
Benefits & Perks
Remote work
Contract compensation
Job Description
Position: Software Engineer
Type: Contract
Compensation: $40 - $75/hour
Location: Remote
Commitment: 10-40 hrs/week
Role Responsibilities
- Build and maintain reinforcement learning environments for backend programming tasks.
- Write backend services and supporting code using Java, Python, Node.js, Go, or Rust.
- Develop thorough unit and integration tests to ensure high test coverage.
- Review code for correctness, performance, maintainability, and security, providing clear feedback.
- Solve programming tasks and document technical reasoning to enhance AI model quality.
- Collaborate asynchronously with a distributed team and document engineering decisions.
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- Have strong relevant experience in backend software development using Java, Node.js, Go, Rust, or similar technologies.
- Proven experience in building scalable backend systems and APIs.
- Experience with debugging, performance optimization, and automated testing.
- Strong understanding of software engineering best practices and code review.
- Cybersecurity/SecOps experience or exposure is highly preferred, including application security and secure coding.
- Experience working effectively in remote, distributed teams.
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