Member of Technical Staff: Data

BespokeLabs.AI, Inc

$120K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years experience in LLMs and RL
  • Proficient in Python and major cloud platforms (GCP, AWS)
  • Experience designing robust CI/CD pipelines and automated testing
  • Ability to create scalable systems for large data volumes
  • Strong analytical skills for data insights
  • Self-starter with a passion for complex AI solutions
  • Extreme attention to detail in data curation processes

Responsibilities

  • Build curation platforms for RL environments and data
  • Research advanced curation strategies for RL
  • Develop recipes for data and RL environments
  • Verify quality of environments by testing and analyzing
  • Perform data analysis to gain insights on environments

Benefits

  • Opportunity to work on pioneering AI technologies
  • Collaborative and innovative team environment
  • Access to cutting-edge research and datasets
  • Potential for professional growth in the AI field
Full Job Description
About Bespoke Labs

Bespoke Labs is an applied AI research lab pioneering data curation and RL environment curation for the modern agentic world. We recently curated one of the best open reasoning datasets, used by multiple frontier labs. We also trained SOTA specialized models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck with meticulous data curation. See also our recent work on using RL to train mutli-turn tool calling agents.

About the Role

As a member of our technical staff, you will work on all aspects related to data curation and RL environment curation, starting from manually curating environments, designing recipes, and working with skilled contractors. Ideal candidates are problem solvers who can understand the problem in a scientific way and can solve the problem practically.

What you will do
  1. Build our curation platforms for building/collecting/curating RL environments and data curation.
  2. Do research on cutting edge curation strategies, especially for RL environments.
  3. Come up with data and environment recipes, and work with contractors to create RL environments.
  4. Verify whether environments are high quality, by checking for reward hacking, and training small scale agents.
  5. Do data analysis to uncover insights about the environments.
Who you are
  1. Strong background in LLMs and RL.
  2. Proficiency in languages like Python and experience with cloud platforms (GCP, AWS, etc.).
  3. Have experience designing robust CI/CD pipelines, automated testing, observability, and monitoring.
  4. Ability to design systems that scale to handle large volumes of data and complex workflows.
  5. Have extreme patience reading transcripts of rollouts.
  6. A self-starter who is excited about working on hard technical problems in AI and data-centric platforms.
  7. Passionate about data curation, AI, RL environments, and post-training.

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