Software Developer - Quality Assurance AI Trainer

Mindrift
๐Remote - Canada
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Summary
Join Mindrift, a platform connecting specialists with AI projects, and become an AI Tutor in Coding. You will collaborate on projects involving code generation, code review, prompt evaluation, data annotation, training and evaluation of large language models, and benchmarking. This role requires working with various programming languages, adapting guidelines for new domains, following project rubrics, and collaborating with project leads. The position is fully remote and freelance, allowing you to work on your own schedule. Contribute to shaping the future of AI while enhancing your portfolio and gaining valuable experience.
Requirements
- You have a Bachelor's in Software Development, Computer Science, or other related fields
- You have at least 3 years of professional experience with Ruby, hands-on experience with JS testing frameworks (Jest, Mocha, Cypress) and browser automation
- Experience using, integrating, or tutoring others on AI tools in the QA or development process
- Experience documenting and tracking defects clearly
- Your level of English is advanced (C1) or above
- You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines
Responsibilities
- Code generation and code review
- Prompt evaluation and complex data annotation
- Training and evaluation of large language models
- Benchmarking and agent-based code execution in sandboxed environments
- Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.)
- Adapting guidelines for new domains and use cases
- Following project-specific rubrics and requirements
- Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects
Preferred Qualifications
Hackathon or competitive coding experience is a plus
Benefits
- 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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