Research, Post-Training Data
Hybrid (San Francisco, CA)$350k - $475kfull-timePosted 11mo ago
About the role
Post-training data research role bridging raw model intelligence and useful, safe, human-centered AI. Focus on data collection/synthesis, human and synthetic data, evaluation metrics, and scalable oversight for alignment and human-AI collaboration.
Responsibilities
- Design and execute data collection and synthesis strategies for post-training by combining human feedback, preference data, and synthetic examples to guide model behavior.
- Develop pipelines and frameworks for scalable, high-quality human labeling, model-assisted labeling, and synthetic data generation.
- Research and model human preferences and behavior, creating data-driven methods to improve reasoning, truthfulness, and helpfulness.
- Iterate on evals: define, optimize, and ensure evaluations measure meaningful impact.
- Design and evaluate metrics and benchmarks that measure data quality, alignment, and real-world impact of post-training interventions.
- Scale and explore: scale existing methodologies and develop new ones.
- Publish and present research; share code, datasets, and insights to accelerate progress across industry and academia.
Qualifications
- Strong engineering skills, ability to contribute code and debug in complex codebases.
- Experience with data curation, human feedback, or synthetic data generation for large language models or similar systems.
- Ability to design, run, and interpret experiments with scientific rigor and clarity.
- Proficiency in Python and familiarity with at least one deep learning framework (PyTorch, TensorFlow, or JAX).
- Comfortable debugging distributed training and writing scalable code.
- Bachelor’s degree or equivalent in Computer Science, Machine Learning, Physics, Mathematics, or related field with strong theoretical and empirical grounding.
- Clarity in communication and ability to explain complex technical concepts in writing.
Skills
Required:EngineeringData curation and labelingExperimental design and analysisPython programmingCommunication
Benefits
- generous health, dental, and vision benefits
- unlimited PTO
- paid parental leave
- relocation support as needed
Last updated Jul 8, 2026. Interested? Apply on the company site.
About Thinking Machines Lab
Connectionism: Research Blog by Thinking Machines Lab
Thinking Machines Lab is an artificial intelligence research and product company. We’re building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
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