About The Position

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Design prompt variations and evaluation cases to surface edge behaviors, failure modes, and performance regressions. Collaborate with engineers to align prompts with project constraints, APIs, and CI/CD workflows. Iterate on prompt strategies using test results and human feedback to improve reliability and reduce hallucinations. Document prompt patterns, expected outputs, and known limitations to support reuse and handoffs.

Requirements

  • Bachelor's or Master’s Degree in Software Development, Computer Science, or other related fields.
  • 3+ years of professional experience, excellent command of Ruby and key ecosystem tools (RSpec, Bundler).
  • Confident use of Git and standard Linux CLI tools.
  • Hands-on experience with containerization (Docker) and CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins).
  • Deep understanding of testing principles and test-driven development (TDD); strong skills in debugging, profiling, and code optimization.
  • Level of English is advanced (C1) or above.
  • Analytical and detail-oriented mindset: proactively identifies bugs, edge cases, and test coverage gaps.
  • Concise and structured communication, both in documentation and asynchronous team discussions.
  • Strong ownership: able to drive tasks end-to-end, propose improvements, and promptly flag risks or blockers.
  • Adaptability and resilience: thrives in fast-changing requirements and ambiguous project contexts.
  • Team player: open to code reviews, feedback, and knowledge sharing.

Nice To Haves

  • Contributions to open-source Ruby projects (pull requests, code reviews, issue tracking).
  • Experience working with large monorepositories or major open-source projects (please specify if public open-source experience is required).
  • Experience with automated benchmarking, scripting, or infrastructure-as-code tools.
  • Experience working with AI-generated code or in code evaluation projects.

Responsibilities

  • Design prompt variations and evaluation cases to surface edge behaviors, failure modes, and performance regressions.
  • Collaborate with engineers to align prompts with project constraints, APIs, and CI/CD workflows.
  • Iterate on prompt strategies using test results and human feedback to improve reliability and reduce hallucinations.
  • Document prompt patterns, expected outputs, and known limitations to support reuse and handoffs.

Benefits

  • Get paid for your expertise, with rates that can go up to $80/hour depending on your skills, experience, and project needs.
  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
  • Work on advanced AI projects and gain valuable experience that enhances your portfolio.
  • Influence how future AI models understand and communicate in your field of expertise.
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