Job Overview
Job description
- Location:
- London, United Kingdom
- Work arrangement:
- On-site
Role Summary
We are looking for Subject Matter Experts with experience in HR, People, or Talent leadership roles who have spent real time building people strategy decks, org planning packs, and onboarding or training presentations.
Responsibilities
Responsibilities include
- Designing "problems" to test state-of-the-art AI models on your workflows (ex. designing tasks that start mid-workflow - this can be a headcount planning deck that's work in progress, a compensation review pack that needs revised bands or an onboarding deck moving into a new template)
- Working with frontier engineering/research teams to implement and evaluate AI systems on the designed real-world people work.
Requirements
Necessary Skills include
- 3+ years in an HR, People, Talent, or L&D role with deep hands-on PowerPoint work
- Ability to define what "good" looks like precisely enough for someone else to grade against it
- Attention to detail, and willingness to learn concepts in AI and data
Salary
On Task Idea Selection: $400 and then $100/hr for evaluation / rubric design (no prev experience required, team will help with this)
Remote or In-office (Liverpool Street, London)
About the Company
Aptura is an applied AI and data company working with frontier labs to train AI systems on real professional work. We do this by building high-quality evaluation and training environments that teach AI agents to produce work that can be used in daily workflows.
- Role:
- AI Researcher (HR, People, Talent Lead)
- Job Type:
- Temporary
Company profile

aptura
aptura.aiAptura helps train and evaluate AI models to master real-world tasks in regulated industries such as finance, healthcare and legal, working with domain experts to build datasets and reinforcement learning environments. Clinicians and other experts work part-time and remotely to evaluate frontier AI models for clinical safety. Aptura describes its work as taking AI from frontier models to frontline deployment.