STEM Mathematics & CUDA Engineer

CUDA/Python AI Data Contributor | Contractor | Remote – India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico Join Turing's growing network of AI contributors and help shape the next generation of large language models. This contractor role focuses on translating CUDA/C++ code into Python using PyTorch and NumPy, and contributing to RLHF workflows that improve frontier AI systems.

About Turing Turing is one of the world's fastest-growing AI companies, partnering with leading AI labs to advance frontier model capabilities in reasoning, coding, STEM, and multimodality. This role supports those efforts by generating high-quality proprietary data used for model fine-tuning and benchmarking. Role Overview You will work on Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) data generation pipelines.

Your primary responsibility is translating CUDA/C++ code into equivalent Python implementations and evaluating LLM-generated outputs for accuracy and quality. Note: This role does not involve building or fine-tuning LLMs directly. 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 CUDA-to-Python translations and provide 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 structures based on observed LLM failure patterns. Requirements 5+ years of overall work experience, with 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 with attention to numerical consistency across languages. Experience evaluating AI-generated code or participating in LLM tuning is a plus. Fluent in written and conversational English. Engagement Details Commitment: Minimum 20 hrs/week (options: 20, 30, or 40 hrs/week); at least 4 hrs/day with 4-hour PST overlap.

Type: Contractor assignment (no medical/paid leave benefits). Duration: 3-month contract; expected start next week. Location: 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 work environment. Opportunity to contribute to cutting-edge AI projects with leading LLM companies.