Freelance Software Developer (Ruby) - AI Trainer at Mindrift

, , Italy -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

47.0

Posted On

24 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Ruby, RSpec, Bundler, Git, Linux CLI, Docker, CI/CD, TDD, Debugging, Profiling, Code Optimization, Analytical Mindset, Communication, Ownership, Adaptability, Team Player

Industry

Business Consulting and Services

Description

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role 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: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. You hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or other related fields. You have at least 3 years of professional experience with excellent command of Ruby and key ecosystem tools (RSpec, Bundler). Your level of English is advanced (C1) or above. 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. Desirable: Contributions to open-source Ruby projects (pull requests, code reviews, issue tracking). Experience working with large monorepositories or major open-source projects. Experience with automated benchmarking, scripting, or infrastructure-as-code tools. Experience working with AI-generated code or in code evaluation projects Soft Skills: 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 You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $47/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.

Responsibilities

As an AI Tutor in Coding, you will generate prompts that challenge AI and define scoring criteria to evaluate AI responses. You will also correct the model’s responses based on your domain-specific knowledge.