STEM Physics & CUDA/Python Engineer at Turing

CUDA/Python AI Data Contributor | Contractor | Remote – India, Brazil, Mexico & More

Join Turing's growing network of AI contributors and help shape the next generation of large language models (LLMs). In this contractor role, you'll translate CUDA/C++ code into Python using PyTorch and NumPy, evaluate AI-generated code, and participate in RLHF workflows — all from a fully remote environment.

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 more. This role supports those efforts by generating high-quality proprietary data used for fine-tuning and benchmarking LLMs.

What You'll Do

• Translate CUDA/C++ code into equivalent Python implementations 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 to develop test prompts reflecting real-world CUDA/PyTorch tasks.
• Participate in RLHF workflows — ranking LLM responses and clearly justifying decisions.
• 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 and accurately reproduce CUDA kernels 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

• 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); 4-hour daily overlap with PST required.
• Eligible Locations: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico

Evaluation Process (~75 mins)

Two rounds: a 60-minute technical interview followed by a 15-minute cultural fit and offer discussion.