Biochemistry AI Training Scientist - Remote Contract in Glasgow

Biochemistry AI Training Scientist - Remote Contract in Glasgow

Glasgow Freelance 10 - 40 Β£ / hour (est.) Working from home possible
Alignerr

At a Glance

  • Tasks: Train AI models on protein folding and metabolism, shaping AI reasoning in life sciences.
  • Company: Alignerr, a leader in AI training for biochemistry.
  • Benefits: Flexible hours, remote work, and global collaboration.
  • Other info: Opportunity to design advanced problems and audit AI outputs.
  • Why this job: Make a real impact in AI and biochemistry while working from anywhere.
  • Qualifications: PhD in biochemistry and expertise in protein folding and metabolism.

The predicted salary is between 10 - 40 Β£ per hour.

Alignerr is seeking a Biochemistry Subject Matter Expert (AI Training) for a remote hourly contract.

Ph D-level biochemists will help train AI models on protein folding, metabolism, and related domains, shaping AI reasoning in life sciences.

You will design advanced problems, author gold-standard solutions, audit AI outputs, and refine AI reasoning. Flexible hours (10–40 per week) and worldwide collaboration.

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Biochemistry AI Training Scientist - Remote Contract in Glasgow 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 Biochemistry AI Training Scientist - Remote Contract in Glasgow

PhD in Biochemistry
Expertise in Protein Folding
Knowledge of Metabolism
AI Model Training
Problem Design
Solution Authoring
AI Output Auditing