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How experts like you shape AI models to perform real-world tasks.

Financial Modeling

A global cohort of investment banking experts pressure-tested state-of-the-art (SOTA) models with realistic prompts from comps, LBOs, DCFs, and covenant analyses to mirror day-to-day workflows.

They distilled deal judgment and industry-specific knowledge into gold-standard answers and checklists, the responses a senior banker would expect, then benchmarked the model against that bar and captured where it fell short.

This ensures and helps AI models are more aligned with real-world tasks and workflows, leading to faster first drafts and fewer errors in materials for review (e.g., financial models and memos).

WACC Analysis - Entity Reconciliation v4.2
A
B
C
D
E
Before tax cost of debt
7.54%
7.54%
7.54%
7.54%
After tax cost of debt
7.54%
7.54%
7.54%
7.54%
WACC
12.44%
12.44%
12.44%
12.44%
Active Prompt
"Perform entity reconciliation and calculate WACC based on Q4 derivative data v4.2"
Sequential cell population...

Clinical AI Lead

Location
London
Employment Type
Full time
Location Type
On-site
Department
Healthcare

About Aptura AI

We work with frontier AI labs and companies across healthcare, finance, and legal providing the specialist knowledge and human oversight that makes AI models more accurate and reliable in these highly regulated domains.

In healthcare, we specialise in sourcing clinicians experts and annotating medical data at scale that is used to train the models such as labelling and reviewing consultation notes, medical images or pathology reports.

The projects we manage tend to sit at the heart of how AI learns to understand real clinical interactions from consultations, workflows, and the delivery of care that directly affects both clinicians and patients. Projects we have been involved in, include SNOMED Medical Coding for Medical Device Registration, AI powered MDT platforms and AI-assisted Clinical Trials Recruitment.

We're a lean, in-person team based in London. We move quickly, hold ourselves to a high standard, and expect every individual to contribute directly.

About the role

As a second hire in the healthcare team it comes with a lot of responsibility and growth opportunities. The role involves staying up to date with the latest published literature for AI in healthcare. You will play a key role in designing and publishing benchmarks in collaboration with stakeholders. It also involves being a part of initial customer conversations and sourcing the right clinician. This role carries breadth and real ownership from day one with the unique opportunity to work directly with some of the world’s leading AI labs. You will work directly with the Head of Healthcare, Dr Abdul Rahyead (former NHS doctor and ex-founder).

Key responsibilities

  • Research: Staying up to date with academic literature, designing benchmarks and publishing research, building relationships with researchers and industry partners

  • Community Building: Growing the healthcare expert network, handling onboarding, maintaining timely communications and payouts for experts. Exploring creative ways to engage more clinicians through hackathons, platforms and IRL events

  • Business Development: Support commercial and partnership activities, including setting up GTM motions and outreach initiatives

Essential requirements

  • Qualified medical doctor with a minimum of 1 year clinical experience

  • Strong organisation skills with the ability to manage multiple projects at the same time and competing priorities

  • Ability to context-switch between clinicians, customers, projects and operational responsibilities without losing pace or attention to details

  • A proactive, self-directed working style, comfortable operating in an environment where the processes are still being defined and the playbook is being written in real-time

  • Strong research skills, able to critically appraise academic papers and publish benchmarks

Desirable attributes

  • Previously worked in industry or a startup, scale-up or similarly high-paced setting

  • Familiarity with data annotation/labelling, designing and developing evals for AI models

  • Track record of publishing research and working with academic institutions

  • Experience in a client-facing, commercial or business development role

AI built on expert human intelligence.

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How to apply.

From application to your first project. A clear path to start contributing your expertise.

01

Application Submission

Browse roles that match your experience and hit apply.

Submit your CV, location, available hours, and specialisation.

5 minutes
02

Case Study

We'll send you a short, industry-specific case study to confirm fit for the work.

15 minutes
03

Onboarding Process

If your CV and case study look like a match, we'll invite you to complete onboarding so you're ready to start quickly. Onboarding happens on Deel.

You'll receive an email with your link and next steps:

  • Add payment details so we can pay you on time once a project kicks off.
  • Review and sign our standard MSA. This sets the basics, not specific rates or hours.
  • Complete a quick ID check so we can confirm you're legally able to work in your country.
15-30 minutes
04

Project Onboarding

Once you've passed the onboarding process we'll move you onto a live project.

You'll be added to the project Slack channel plus we will share any project specific training you need to complete.

We'll pay either per hour or per task.

15 minutes
CV
Contact data
Case Study Test
Tasks
Task 1 New
Task 2
Task 3
Task 4

Voices from our experts.

Physicians, analysts, and specialists shaping the future of AI.

AM

Dr. Anna Müller

Clinical Oncologist

"I review oncology cases from home to help train AI models that support cancer diagnosis. The flexibility is invaluable — I can schedule this work around my hospital shifts and family life."

CT

Claire Thompson

Equity Research Analyst

"After completing my profile, I was matched quickly with a project involving real stock market research. No endless interviews — just a clear offer and fast onboarding."

DN

David Nguyen

Consultant Medical Oncologist

"I work remotely, annotating complex oncology cases for AI training. The setup is straightforward, the platform is user-friendly, and I don't waste time commuting."

MP

Dr. Maya Patel

Clinical Oncology Registrar

"From my home office, I review oncology cases and label them for AI training. This work lets me stay at the cutting edge of innovation without sacrificing my clinical career."

MP

Mark Petrov

Forensic Accountant

"I'm using my background in finance to train AI on real-world deal structures and regulatory details. It's satisfying to see that my nuanced knowledge is helping AI become more reliable."

JR

James Rodriguez

Senior Associate, BigLaw

"The legal research tasks are intellectually stimulating and relevant to my practice. It's a great way to earn extra income while contributing to meaningful AI development."

Frequently Asked Questions

Most projects are remote and self-directed. Some require consistent weekly hours; others allow you to log in when work is available. We'll always let you know the expectations before you join a project so you can decide if it fits your schedule.

Quality matters. Everything you submit is reviewed, and you'll receive feedback to help you improve. Consistency and accuracy are important.

You're welcome to say you're working with Aptura on your LinkedIn or CV. However, client names, project details, and internal processes are confidential and should not be shared publicly or used outside project work.

Yes, we only collect the information needed to verify your identity and process payments. Your data is:

  • Encrypted and stored securely
  • Accessed only by authorized personnel
  • Never sold or shared for any external purpose

If you choose to stop working with us, you may request full deletion of your records.

Pay depends on:

  • The type of project
  • Whether work is hourly or task-based
  • Your experience and domain expertise

Some projects are paid hourly, others per task—we'll always be clear before you start. Payments are processed securely, and you'll receive them on a regular schedule (typically weekly) upon successful completion of deliverables.

Projects vary, but they always involve human expertise guiding AI systems. Examples include:

  • Reviewing and improving AI-generated answers
  • Evaluating whether an AI output is accurate and safe
  • Classifying or rewriting text for clarity, tone, or correctness
  • Providing domain-specific feedback (e.g., legal, medical, financial)

You'll only be assigned to projects that match your skills and experience.

No. You don't need a background in AI to get started. For every project, we provide:

  • Clear written guidelines
  • Examples of good and bad responses
  • Training modules if needed
  • Support from reviewers who know the domain

Your job is to apply your judgment carefully and follow the instructions. If you can read, reason, and pay attention to detail, you'll do well.

Ready to shape
the future of AI?

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