Research Engineer - Pretraining Data
Prime Intellect · San Francisco · Remote
Infrastructureremote$150k–$350k
At a glance
Highlights
- Build the data behind next-gen open models for long-horizon tasks.
- Turn raw sources into training-ready corpora at scale.
- Run data experiments to shape pretraining mixtures and reasoning.
What they offer
- Equity incentives
- Flexible work arrangements with remote or in-person options
- Visa sponsorship and relocation assistance
- Quarterly team off-sites, hackathons, conferences and learning opportunities
Ideal candidate
A builder who owns evolving data problems end to end and loves turning messy sources into high-signal corpora. You care about open models and enjoy partnering with researchers to test what truly improves them.
Requirements
- Strong Python skills with record building reliable data-processing or distributed systems
- Experience working with large datasets and tradeoffs of storage, compute and throughput
- Ability to diagnose data-quality issues and translate research goals into measurable checks
- Comfort owning evolving technical problems end to end with researchers
- remote policy
- Flexible work arrangements with option to work remotely
- visa sponsorship
- Visa sponsorship and relocation assistance available
Lab profile
About Prime Intellect
Building the open superintelligence stack for post-training frontier AI at scale
What they build
- Lab platform
- Compute and environments
- Evaluations
Known for
- Post-training at frontier scale
- SFT and RL
- Tool use and agent workflows
- High-performance training infrastructure
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