Remote AI Researcher (PhD/MS) | Flexible Hours

Remote AI Researcher (PhD/MS) | Flexible Hours

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Alignerr

At a Glance

  • Tasks: Design and evaluate complex AI problems while collaborating on innovative projects.
  • Company: Alignerr, a leader in AI research with a focus on challenging reasoning.
  • Benefits: Fully remote work, flexible hours, and the chance to make a real impact.
  • Other info: Work from anywhere in the U.S., Canada, U.K., Australia, or New Zealand.
  • Why this job: Join a cutting-edge team and push the boundaries of AI research.
  • Qualifications: Master's or PhD in a STEM field with strong research experience.

The predicted salary is between 50000 - 70000 Β£ per year.

Alignerr is seeking advanced researchers in AI to develop and evaluate complex problems that challenge AI reasoning. The role is fully remote, allowing for flexible working hours from anywhere in the U.S., Canada, U.K., Australia, or New Zealand.

The ideal candidate will hold a Master's or PhD in a STEM field, demonstrating a strong research background.

Responsibilities include:

  • Designing critical problems
  • Collaborating on AI projects
  • Ensuring high standards of quality in deliverables

Remote AI Researcher (PhD/MS) | Flexible Hours employer: Alignerr

Alignerr is an exceptional employer that champions innovation and flexibility, offering a fully remote work environment with adaptable hours to suit your lifestyle. With a strong focus on employee growth, you will have the opportunity to collaborate on cutting-edge AI projects while contributing to meaningful advancements in the field. Join a culture that values creativity and excellence, making it an ideal place for passionate researchers looking to make a significant impact.

Alignerr

Contact Details:

Alignerr Recruitment Team

We think you need these skills to ace Remote AI Researcher (PhD/MS) | Flexible Hours

AI Research
Problem Design
Collaboration
Quality Assurance
STEM Background
Critical Thinking
Data Evaluation