Applied Scientist, Human-in-the-Loop AI (Remote)

Applied Scientist, Human-in-the-Loop AI (Remote)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Prolific

At a Glance

  • Tasks: Design and prototype AI/ML methods to enhance data quality and optimise workflows.
  • Company: Prolific, a mission-driven company at the forefront of AI innovation.
  • Benefits: Competitive salary, remote work, and comprehensive benefits.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Join a team making real-world impact in AI while working remotely.
  • Qualifications: PhD or MSc in a relevant field with applied ML experience.

The predicted salary is between 60000 - 80000 Β£ per year.

Prolific is looking for an Applied Scientist to design and prototype AI/ML methods to enhance data quality and optimize AI evaluation workflows. The ideal candidate will have a PhD or MSc in a relevant field and extensive experience in applied ML with notable real-world impact.

Responsibilities include:

  • Prototyping AI methods
  • Designing experiments
  • Partnering with product teams

With a competitive salary and benefits, this role places you at the forefront of AI innovation, fully supporting remote work within a mission-driven culture.

Applied Scientist, Human-in-the-Loop AI (Remote) employer: Prolific

Prolific is an exceptional employer that champions innovation and collaboration in the field of AI, offering a fully remote work environment that fosters flexibility and work-life balance. With a strong commitment to employee growth, Prolific provides access to cutting-edge resources and opportunities for professional development, all while being part of a mission-driven culture that values meaningful contributions to AI advancements.

Prolific

Contact Details:

Prolific Recruitment Team

We think you need these skills to ace Applied Scientist, Human-in-the-Loop AI (Remote)

AI/ML Method Design
Prototyping
Data Quality Enhancement
AI Evaluation Workflow Optimisation
Experimental Design
Collaboration with Product Teams
Applied Machine Learning