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Research Scientist, STEM

Training Superintelligence· R&D / Engineering
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Remote$150k - $300kfull-timePosted 3w ago

About the role

AI Research Scientist focusing on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science to develop benchmarks, datasets, and methodologies for frontier AI systems.

Responsibilities

  • Frontier benchmarks and evaluation: Identify high-impact gaps, design novel benchmarks across STEM and model functionality, develop evaluations for emerging capabilities, design rigorous task-generation, contamination-control, difficulty-calibration, and validation methodologies, and build benchmarks that serve as research contributions and standards.
  • Synthetic data and post-training: Develop methods for generating high-quality synthetic STEM training data, study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance, explore data-scarce domains, and design experiments to determine when synthetic data truly improves capabilities.
  • Hallucination, reliability, and verification: Study hallucination and uncertainty, develop evaluations for improving factual reliability, self-correction, verification, citation, abstention, and determine when models should seek external evidence or recognize unknowing.
  • Agentic science: Research AI systems capable of extended scientific and technical work, develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning, and evaluate long-horizon scientific agents.

Qualifications

  • PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field
  • Demonstrated ability to formulate and execute original research
  • Strong understanding of modern LLMs and the frontier AI research landscape
  • Excellent experimental design, quantitative reasoning, and scientific judgment
  • Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas
  • Strong Python skills and the ability to independently build research prototypes and evaluation pipelines
  • Excellent technical writing and communication
  • Comfort working in a fast-moving environment where the research agenda evolves with the frontier

Skills

Required:PhD or equivalent in technical fieldResearch design and executionModern LLMs understandingPythonTechnical writing

Benefits

  • Compensation: $150,000 to $300,000 OTE + Equity
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Training Superintelligence

Turing develops large-scale RL environments and data generation systems that train multimodal agents to improve model performance in coding, real-world, economically valuable tasks, and advanced STEM reasoning.

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