About Turing:
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview:
In this role, you will work on cutting-edge initiatives to fine-tune large language models by grounding advanced health, fitness, and human performance domain logic. The ideal candidate possesses deep experience in evidence-based exercise science—spanning program design, training periodization, volume/intensity progression, and body-metric tracking—along with the ability to translate athletic coaching principles into deterministic spreadsheet logic. You will play a direct role in evaluating and refining AI-generated tools, ensuring outputs match professional strength and conditioning standards.





Requirements:
- Core Experience: 4+ years in strength and conditioning, personal training, or health and fitness coaching.
- Domain Expertise: Deep, hands-on familiarity with training periodization models, progressive overload principles, workout logging structures, volume/intensity management, and estimated 1RM calculations.
- Writing & Logic Translation: Strong, concise skilled writing skills with a proven ability to translate athletic training rules and exercise protocols into deterministic spreadsheet formulas and validation structures.
- Analytical Thinking: Ability to establish strict physiological guardrails (e.g., progressive overload rate caps, deload week scheduling, volume limits to prevent overtraining).
- Technical Infrastructure: Personal desktop/laptop equipped with a stable, high-speed internet connection in a remote setup.

Responsibilities:
In this role, you will se

📌 Health & Fitness SME (Amritsar)
🏢 Turing
📍 Amritsar