Mercor
MercorVerified listing
RemoteAI & Machine LearningHealthcare & Biotech

Chemist Talent Network | $60-$80/hr Remote

60–80/hr
Remote
Posted July 22, 2026
part-time

Overview

Join a network of chemists lending their expertise to train and evaluate AI models on chemistry-related tasks. As a member, you'll contribute to cutting-edge AI research by creating realistic tasks and providing domain-specific feedback. This is an open pool for future contract opportunities, offering flexible remote work and competitive hourly rates of $60-$80/hr.

What You'll Do4

  • 1Train and fine-tune AI models by applying your expertise in chemistry to improve their performance on scientific tasks.
  • 2Design realistic chemistry-based exercises and deliverables that reflect real-world scenarios for model evaluation.
  • 3Provide detailed, domain-specific feedback to help advance frontier AI research in the chemical sciences.
  • 4Collaborate remotely with AI development teams to validate model outputs and suggest improvements based on your professional knowledge.

Requirements3

  • 1Professional experience in analytical chemistry, including laboratory experimentation and chemical data analysis.
  • 2Strong written and verbal communication skills for effective remote collaboration.
  • 3Ability to work independently and manage your own schedule in a remote environment.

Who Should Apply

This opportunity is ideal for experienced chemists who want to apply their domain knowledge to the cutting edge of AI development. You should be comfortable working on variable weekly commitments (15–30 hours) and thrive in a self-directed, remote setting where your scientific insight directly shapes intelligent systems.

Salary Insight

The role pays $60–$80 per hour on a contract basis, with typical weekly commitments of 15–30 hours.

Location

Typeremote
LocationRemote
This is a remote position

Application Tip

When applying, emphasize specific examples of projects where you used chemical data analysis or validated experimental results — this shows you can bring real-world rigor to AI training tasks.

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  2. 2ATS + eligibility screening

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