Remote AI Research Fellow — Advanced Problem Solver in Cambridge

Remote AI Research Fellow — Advanced Problem Solver in Cambridge

Cambridge Full-Time 100 - 100 £ / hour (est.) No working from home possible
Alignerr

At a Glance

  • Tasks: Design complex problems to enhance AI reasoning and set academic standards.
  • Company: Alignerr, a leading AI research organisation in the UK.
  • Benefits: Flexible remote work, competitive compensation, and meaningful research opportunities.
  • Other info: Join a dynamic team dedicated to pushing the boundaries of AI.
  • Why this job: Make a real impact in AI research while working on your own schedule.
  • Qualifications: Postdoctoral researchers, PhD holders, or Masters-level academics required.

The predicted salary is between 100 - 100 £ per hour.

Alignerr in the United Kingdom invites postdoctoral researchers, Ph D holders, and Masters‑level academics to join AI training labs.

You will design rigorous, high‑complexity problems to push AI reasoning and contribute to setting academic standards across disciplines.

This is not data entry; it is expert‑level research work.

The role is fully remote, asynchronous, and flexible, offering meaningful, well‑compensated work on your terms. #J-18808-Ljbffr

Remote AI Research Fellow — Advanced Problem Solver in Cambridge employer: Alignerr

Alignerr is an exceptional employer that champions innovation in healthcare through AI, offering a dynamic remote work environment that fosters collaboration and creativity. Employees benefit from a culture of continuous learning and professional development, with ample opportunities to grow within the organisation while contributing to groundbreaking projects that have a real impact on clinical research. Join us to be part of a forward-thinking team dedicated to transforming healthcare for the better.

Alignerr

Contact Details:

Alignerr Recruitment Team

We think you need these skills to ace Remote AI Research Fellow — Advanced Problem Solver in Cambridge

Research Skills
Problem-Solving Skills
AI Reasoning
Academic Standards Development
Complex Problem Design
Asynchronous Work Management
Flexibility in Work