← All roles

Staff Research Engineer, Frontier Data

Training Superintelligence· Frontier Data Operations
Apply on company site
Remotefull-timePosted 3w ago

About the role

Staff Research Engineer role at Turing focused on frontier AI systems, synthetic and agentic data generation, reinforcement learning, evaluation, and translational impact across research and product teams. Build and evaluate research systems, contribute to both foundational research and applied AI development, and engage with the research community.

Responsibilities

  • Conduct Research on Frontier AI Systems: investigate capabilities, limitations, training methods; formulate research questions; explore synthetic/agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, evaluation; stay current with ML advances.
  • Build and Evaluate Research Systems: develop research-grade datasets, experiments, prototypes, tooling, evaluation frameworks; train/test/evaluate models with modern AI tools; analyze results; establish rigorous practices for reproducibility and data quality; iterate from hypothesis to validated insights.
  • Translate Research into Practical Impact: collaborate with Research, Engineering, Product, Operations; translate findings into product/platform improvements; identify ideas ready for scalable real-world applications; communicate findings clearly to diverse audiences.
  • Contribute to the Research Community: share findings via reports, open-source work, workshops, conferences; contribute to internal research culture and mentorship; represent Turing in the broader AI community.

Qualifications

  • PhD or Master’s degree in artificial intelligence, machine learning, computer science, or related field; exceptional equivalent research experience considered.
  • Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and using modern AI tooling.
  • Experience in synthetic or agentic data generation, reinforcement learning, post-training, AI understanding, evaluation, or benchmarks.
  • Strong programming skills and ability to implement, test, and iterate quickly in a research environment.
  • Sound scientific judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
  • Clear written and verbal communication skills, curiosity, and ability to collaborate across research and engineering teams.

Skills

Required:Experiment designResearch communicationProgrammingData generationReinforcement learning

Benefits

  • Compensation: $250,000 to $400,000 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.

Train AIBuild AIHire AI TalentAI for BFSIEMNAIDatasetsEnterprise Knowledge WorkMultimodal
Company profileWebsite

More open roles at Training Superintelligence