Founding Technical Lead – Healthcare Human Data (Frontier AI), Plymouth
Client: MAKZ
Location: Plymouth, United Kingdom
Job Category: Other
EU work permit required: Yes
Job Description
We are building a healthcare-focused human data company designed to support frontier AI labs in improving model reasoning, safety, and evaluation performance.
This is not an annotation startup.
We are looking for a founding technical lead who has already worked inside the frontier AI ecosystem and understands how model training pipelines actually consume human data.
Requirements
You must have direct experience working with a frontier AI lab (e.g. OpenAI, Anthropic, Google DeepMind, Meta AI, etc.) on:
* RLHF or RLAIF
* Red teaming
* Alignment or reasoning improvement
What You Will Own
* Design of high-signal healthcare datasets targeting real model failure modes
* Construction of structured correction artifacts (not generic Q&A)
* Development of scoring rubrics and evaluation frameworks
* Creation of the initial validation dataset used to secure commercial contracts
* Definition of training standards for clinician contributors
* Technical credibility with frontier labs
You will be setting the bar for what “high-quality healthcare human data” means.
The Profile We’re Looking For
* Consultant-level Doctor (or equivalent senior clinical experience)
* First‑hand exposure to how frontier models ingest, filter, and score human data
* Strong intuition around model blind spots (hallucination, overconfidence, shallow reasoning, calibration errors)
* Able to think like both a clinician and a model evaluator
* High agency, startup mentality
Compensation Structure
* Competitive consulting rate
* Performance‑based upside
* Potential equity pathway based on validated impact and ARR milestones
Why This Role Is Different
Most healthcare AI data companies compete on volume.
We compete on signal.
If you understand the difference - and have operated at that level - this will be obvious to you.
#J-18808-Ljbffr