Remote Biochemist for AI Data Training

Remote Biochemist for AI Data Training

Full-Time 35000 - 45000 Β£ / year (est.) No working from home possible
Alignerr

At a Glance

  • Tasks: Design complex biochemical problems and audit AI outputs for high-impact projects.
  • Company: Alignerr, a leader in groundbreaking AI research.
  • Benefits: Flexible schedule, remote work, and collaboration with world-class teams.
  • Other info: Join a dynamic team and make a real impact in science and technology.
  • Why this job: Contribute to innovative AI research while working from anywhere.
  • Qualifications: PhD in Biochemistry or related field; no prior AI experience needed.

The predicted salary is between 35000 - 45000 Β£ per year.

Alignerr is seeking a Biochemist – AI Data Trainer to work remotely. In this role, you will design complex biochemical problems, audit AI-generated outputs, and refine scientific reasoning for high-impact AI projects.

A PhD or equivalent in Biochemistry or a related field is essential. This position offers flexibility in schedule and the opportunity to contribute to groundbreaking AI research. No prior AI experience is necessary, and you will work with world-class research teams.

Remote Biochemist for AI Data Training employer: Alignerr

Alignerr is an exceptional employer that fosters a collaborative and innovative work culture, allowing Biochemists to engage in meaningful AI research from the comfort of their own homes. With flexible scheduling and the chance to work alongside world-class research teams, employees are encouraged to grow and develop their skills in a supportive environment, making it an ideal place for those looking to make a significant impact in the field of biochemistry and AI.

Alignerr

Contact Details:

Alignerr Recruitment Team

We think you need these skills to ace Remote Biochemist for AI Data Training

PhD in Biochemistry or related field
Biochemical Problem Design
AI Output Auditing
Scientific Reasoning Refinement
Research Collaboration
Flexibility in Schedule
High-Impact Project Contribution