Operator of an Artificial Intelligence (AI) fact-checking platform intended to verify factual accuracy in large language models (LLMs). Backed by 8VC.
About the role
This is a delivery-heavy role focused on standing up our enterprise post-training capability. Demand is inbound, and our goal is to ship custom, high-performing models to 2–3 paying enterprise customers by year-end. Over the first 6–12 months, you will do the execution work required to solve real-world enterprise problems while helping build the scalable product underneath. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- A record of shipped models. You have post-trained at least one LLM that was deployed to real users in production, and you can show how you measured its success
- End-to-end eval ownership. Demonstrated experience building benchmarks, creating eval datasets, and getting stakeholders to agree on clear metrics for complex or subjective tasks
- Deep understanding of regression risks. You can instinctively explain how training a model on new behaviors impacts existing capabilities and how to prevent it
- Customer-facing or product empathy. Experience collaborating directly with non-ML stakeholders, enterprise customers, or product managers to turn requirements into model behavior
- Strong software and ML fundamentals. Fluency in modern post-training frameworks, data processing pipelines, and code bases designed for production deployment
- Ownership mindset. You take complete responsibility for the full post-training lifecycle—from raw data to model deployment and failure analysis—without requiring close supervision
More about this role
Bespoke Labs is an applied AI research lab pioneering data and RL environment curation for training and evaluating agents.
Recently, we curated Open Thoughts, one of the best open reasoning datasets used by multiple frontier labs, trained SOTA specialized models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck, and taught agents to do multi-turn tool-calling with reinforcement learning.
Bespoke is uniquely positioned to capture a large market share of data and RL environment curation.
This is a delivery-heavy role focused on standing up our enterprise post-training capability. Demand is inbound, and our goal is to ship custom, high-performing models to 2–3 paying enterprise customers by year-end. Over the first 6–12 months, you will do the execution work required to solve real-world enterprise problems while helping build the scalable product underneath.
You will not be running abstract experiments or training models solely for benchmarks. You will sit directly at the intersection of enterprise demand and applied post-training—curating data, building rigorous eval suites, fine-tuning models, and proving their value to enterprise stakeholders. We will measure you on the...
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