Research Quality Specialist (Bareilly)

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: We are seeking a highly analytical and computationally proficient individual to join our team with a strong research background. You will be instrumental in contributing to this role by either crafting challenging and insightful problems in your respective research domain, devising elegant computational solutions.

Responsibilities: Quantitative Problem Design and Solutioning:
- Develop and conceptualize original, research-grade or graduate-level scientific problems with scientific coding/ programming, using Python.
- Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels.
- Rigorously solve formulated problems using sound principles, ensuring absolute accuracy, reliability, and logical coherence of the solution path.

Quality Assurance & Collaboration:
- Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutions.
- Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly.

Required Qualifications:
- PhD or PhD Candidates in Computational Math (Numerical linear algebra and Computational mechanics)
- Has published at least 1 peer-reviewed paper
- Advanced proficiency in Python programming for scientific coding is preferred
- Excellent analytical, logical thinking, and problem-solving skills
- Robust written and verbal communication skills for clear documentation and collaboration

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