Mindrift is a platform that connects specialists with AI projects from major tech innovators, aiming to unlock the potential of Generative AI.
The role involves collaborating on projects to improve GenAI models' capabilities in addressing specialized questions and achieving complex reasoning skills.
Typical tasks include analyzing and understanding existing code in Python or C/C++, migrating logic to idiomatic, safe Rust while preserving functionality, adapting or porting the test suite to ensure behavioral equivalence, and documenting migration steps and technical decisions.
Candidates can apply to contribute to projects aligned with their skills on their own schedule, helping to shape the future of AI.
Requirements:
Candidates must have a Bachelor's or Master’s degree in Software Development, Computer Science, or related fields.
A minimum of 3 years of professional experience with C/C++ and at least 1 year of hands-on experience with Rust is required.
Experience with FFI tools (bindgen, cxx) and unsafe Rust for C/C++ interoperability is necessary.
Candidates should have experience testing migrated code, including unit, integration, and fuzz tests.
A solid understanding of systems programming, including memory management and concurrency, is essential.
Skills in refactoring legacy code and documenting migration steps are required.
Prompt engineering experience is considered a strong plus.
An advanced level of English (C1) or above is mandatory.
Candidates should be ready to learn new methods, switch between tasks and topics quickly, and work with challenging, complex guidelines.
The role is fully remote, requiring only a laptop, internet connection, available time, and enthusiasm for challenges.
Benefits:
This freelance opportunity allows for part-time, remote work that fits around primary professional or academic commitments.
Participants will work on advanced AI projects, gaining valuable experience that enhances their portfolio.
The role offers the chance to influence how future AI models understand and communicate in the candidate's field of expertise.
