Research Engineer - Pretraining Data

Role Impact:

• Build the data behind Prime Intellect's next generation of open models.
• Shape both broad pretraining and the data used to develop reasoning, coding, and long-context capabilities.

Responsibilities:

• Find, evaluate, and collect training data from web, code, and technical sources.
• Develop checks for data quality, coverage, and contamination.
• Run controlled data experiments and use model evaluations to decide which sources, mixtures, and processing choices are worth scaling.

Requirements:

• Strong programming skills in Python and a record of building reliable data-processing or distributed systems.
• Experience working with large datasets and managing tradeoffs of storage, compute, throughput, and reproducibility.
• Ability to diagnose data-quality issues and translate research goals into measurable checks and experiments.

Benefits and Perks:

• Cash compensation range of $150-350k, including equity incentives.
• Flexible work arrangements with remote or in-person options in San Francisco.
• Visa sponsorship, relocation assistance, team off-sites, and learning opportunities.