CUDA/Python AI Training Contributor | Contractor | Remote – India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico
Join Turing — one of the world's fastest-growing AI companies — and contribute to cutting-edge AI model development by translating CUDA/C++ code into Python and supporting RLHF data generation workflows for leading LLM companies.
About Turing
Turing accelerates the advancement and deployment of powerful AI systems by partnering with the world's top AI labs to improve frontier model capabilities in reasoning, coding, STEM, and more. This role supports that mission directly by generating high-quality proprietary training data used to fine-tune and benchmark large language models.
Role Overview
As a CUDA-to-Python AI Training Contributor, you will help improve LLMs by translating GPU-accelerated CUDA/C++ code into equivalent Python implementations using PyTorch and NumPy, and by evaluating and ranking model-generated outputs through RLHF workflows. This role does not involve building or fine-tuning LLMs.
Day-to-Day Responsibilities
- Translate CUDA/C++ code into Python using PyTorch and NumPy, ensuring logical and performance parity.
- Analyze CUDA kernels and GPU-accelerated code for structure, efficiency, and function prior to translation.
- Evaluate LLM-generated code translations, providing detailed technical feedback and corrections.
- Collaborate with prompt engineers and researchers to develop real-world CUDA/PyTorch test prompts.
- Participate in RLHF workflows — rank LLM responses and justify ranking decisions clearly.
- Debug and review translated Python code for correctness, readability, and industry-standard consistency.
- Maintain technical documentation to support reproducibility and code clarity.
- Propose improvements to prompt structure or conversion approaches based on observed LLM failure patterns.
Requirements
- 5+ years of overall work experience, including at least 3 years in Python and 2+ years in CUDA/C++.
- Strong hands-on experience with scientific computing using PyTorch and NumPy.
- Solid understanding of CUDA programming concepts and C++ fundamentals.
- Demonstrated ability to analyze CUDA kernels and accurately reproduce them in Python.
- Familiarity with GPU computation, parallelism, and performance-aware coding practices.
- Strong debugging skills and attention to numerical consistency when porting logic across languages.
- Experience evaluating AI-generated code or participating in LLM tuning workflows is a plus.
- Fluent in written and conversational English.
Engagement Details
- Type: Contractor (no medical/paid leave)
- Duration: 3 months (expected start: next week)
- Commitment: Minimum 20 hrs/week (options: 20, 30, or 40 hrs/week); at least 4 hrs/day with 4-hour PST overlap required.
- Eligible Locations: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico
Evaluation Process (~75 minutes)
- Round 1: 60-minute technical interview
- Round 2: 15-minute cultural fit and offer discussion
Perks
- Fully remote, flexible work environment.
- Opportunity to contribute to frontier AI research alongside leading LLM companies.
