Pre-Training Data Researcher (AI)

Location: On-site in San Francisco, California, United States

Company

hirify.global is a research lab building open models that people can control, customize, and use.

What you will do

• Design and implement techniques for sourcing, curating, and filtering large-scale web, text, and code data, with potential extension to other modalities.
• Develop metrics and analyses for dataset coverage, diversity, and representativeness across sources.
• Design and run pre-training data experiments with infrastructure teams, scaling supporting data systems efficiently and reproducibly.
• Investigate and mitigate privacy, safety, and licensing risks in data use.
• Evaluate dataset changes through ablations and scaling experiments, tracing effects on model learning and behavior.
• Publish and present research and share code, datasets, and insights with the open AI community.

Requirements

• Proficiency in Python and familiarity with at least one deep learning framework, such as PyTorch or JAX.
• Experience debugging distributed workloads and writing scalable code.
• Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline, with strong theoretical and empirical grounding.
• Clear written communication and the ability to explain complex technical ideas.

Nice to have

• Strong understanding of probability, statistics, and machine learning fundamentals, including the ability to distinguish real effects from noise and bugs in experimental data.
• Experience curating, preprocessing, and analyzing large-scale text or code datasets; exposure to multimodal data is a plus.
• Background in data engineering, dataset construction, or large-scale web data processing for machine learning.
• Experience evaluating or improving training data quality and knowledge of data ethics, safety, and licensing frameworks relevant to AI datasets.
• Contributions to open datasets, research publications, or data tooling.
• PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline, or equivalent industry research experience.

Culture & Benefits

• On-site work with regular off-sites, happy hours, and team celebrations.
• Salary and equity designed to recognize and retain talent globally, plus stock options.
• Comprehensive medical, dental, vision, and life insurance with an annual wellness allowance.
• Lunch and dinner provided daily in the office.
• Twenty-two weeks of paid parental leave for birthing and non-birthing parents, including adoptive and surrogate journeys.
• Unlimited paid time off in the U.S.; visa sponsorship and support for long-term immigration pathways where applicable.