The LLM Data Company

| About The LLM Data Company The LLM Data Company (YC X25) provides post-training data and RL environments to foundation model labs and frontier applied AI companies. We have raised $3.6m from Tier 1 VCs and are growing 200%+ month-over-month. Responsibilities Design and implement scalable RL recipes for post-training task-specific models Develop modular environments, reward functions, and evaluator scaffolds for internal and customer-facing tasks Drive research at the intersection of scalable infra and modern RL frameworks to enable RL-as-a-service Drive foundational research to publish open source environments and training data Build data generation and curation pipelines to support frontier post-training Collaborate with product teams to deliver a user friendly interface for non-technical users to generate data Qualifications Bachelor or Master in Computer Science or related field Comfort with core tooling (verl, PyTorch, etc.) Familiarity with modern post-training techniques (GRPO, etc.) Experience with evaluations and reward engineering Published in top journals (ICLR, NeurIPS, ICML, etc.) Why you should join Cutting-edge research : Work on unpublished, novel training environments Direct lab exposure : Projects that labs actually use and validate in production High autonomy : Wide design space to propose and run experiments with minimal oversight Early team member : Join as one of the first 10 people with significant equity upside

| Responsibilities Drive high-priority initiatives across sales, operations, product strategy, and finance Own end-to-end execution of strategic projects from customer contracts to product launches Build and optimize core business processes while managing day-to-day operational fires Interface with customers, investors, and partners as an extension of the founding team Jump between analyzing unit economics, closing deals, defining product roadmaps, and running hiring processes Solve the company's most critical problems, regardless of domain or complexity Qualifications 2-5 years in consulting, investment banking, private equity, venture capital, product management, or biz ops Degree in CS, engineering, physics, economics, business, mathematics or similar field Demonstrated ability to excel across sales, operations, strategy, and analytical work Experience thriving in ambiguous, fast-paced environments with minimal structure Strong executive presence and communication skills for customer and investor interactions Indication of exceptional ability whether it be in sports, debate, e-sports, competitive math, etc. Why you should join Direct founder exposure: Work hand-in-hand with the founders on company-defining decisions and strategy Massive growth trajectory: Join an early stage company with tier-1 clients and backing Unique scope: Own everything from P&L to product strategy to key customer relationships Early team member: Join as one of the first 10 people with significant equity upside