Lead a team to develop accurate materials science tasks for AI training. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
About the role
Lead a team to develop accurate materials science tasks for AI training. 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 an experienced Materials Science expert to lead a team of technical trainers developing realistic, terminal-based scientific tasks for a frontier AI training and evaluation initiative.
In this role, you will oversee a pod of approximately 5–10 trainers, review materials science tasks for technical accuracy, reproducibility, and evaluation quality, and ensure tasks reflect authentic computational materials research workflows. You will also mentor trainers, maintain quality standards, and drive consistent delivery of challenging scientific tasks.
What you'll do:
Lead and mentor a pod of technical trainers, ensuring consistent quality, productivity, and timely delivery of materials science tasks.
Review scientific tasks end to end, including problem statements, crystal structures, interatomic potentials, thermodynamic databases, simulation inputs, reference solutions, and automated tests.
Validate tasks involving density functional theory (DFT), molecular dynamics, computational thermodynamics, phase diagrams, crystallography, materials characterization, mechanical properties, semiconductors, and energy materials .
Ensure tasks reflect realistic materials research workflows and require meaningful multi-step scientific reasoning rather than simple database lookups or library calls. …
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