← All roles

Senior Research Engineer, Frontier Data

Training Superintelligence· Frontier Data Operations
Apply on company site
Remote$250k - $350kfull-timePosted 3w ago

About the role

Research Engineer role at Turing focused on frontier AI systems, synthetic and agentic data generation, reinforcement learning, post-training, evaluation, and benchmarks. Combines research and engineering to design experiments, build tooling, and translate findings into scalable, real-world AI capabilities.

Responsibilities

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

Qualifications

  • PhD or Master’s degree in artificial intelligence, machine learning, computer science, or related technical 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.
  • Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or 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; ability to work across research and engineering teams.

Skills

Required:Research design and experimentationSynthetic/agentic data generationReinforcement learningModel evaluation and benchmarksProgramming

Benefits

  • Compensation: $250,000 to $350,000 OTE + Equity
  • Autonomy, rapid iteration, meaningful commercial impact
  • Opportunity to publish and present at leading conferences (e.g., ICLR, ICML, NeurIPS)
  • Collaborative environment with top AI researchers and engineers
  • Equal opportunity employer with a diverse and inclusive workplace
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