Research Engineer Pretraining Data

AI infrastructure company providing an integrated stack for training, evaluating, deploying, and continuously improving agentic models.

Series ARecently funded34 current maintainers27 active leads7 new active leads9 lead step-downs
San Francisco, United States
About Prime Intellect

Prime Intellect, Inc. operates AI infrastructure spanning RL environments, hosted training and evaluations, inference, secure sandboxes, and globally sourced GPU compute.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will source and curate training data, build scalable processing pipelines, assess data quality and contamination, develop sampling strategies, prepare long-context, reasoning, and coding data, run controlled experiments, and maintain reproducible datasets with clear provenance and versioning.

Requirements

  • Python programming skills
  • Experience building reliable data-processing or distributed systems
  • Experience with large datasets
  • Understanding of storage, compute, throughput, and reproducibility tradeoffs
  • Ability to diagnose data-quality issues
  • Ability to design measurable checks and experiments
  • Experience owning technical problems end to end

Responsibilities

  • Find, evaluate, and collect training data from web, code, and technical sources
  • Build pipelines for extraction, cleaning, deduplication, and filtering
  • Develop data-quality, coverage, and contamination checks
  • Work on pretraining and midtraining data mixtures and sampling strategies
  • Prepare and evaluate data for long-context learning, reasoning, and coding
  • Run controlled data experiments and evaluate model outcomes
  • Make large-scale processing efficient, reproducible, and recoverable
  • Maintain source provenance and dataset versioning

Benefits

  • Equity incentives
  • Flexible work arrangements
  • Remote-work option
  • Visa sponsorship
  • Relocation assistance
  • Quarterly team off-sites
  • Hackathons
  • Conference attendance