Drug Discovery Specialist - AI Trainer

Job Summary
Large-scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high-quality training data, tomorrow’s AI can democratize world-class education, keep pace with cutting-edge research, and streamline lab work for scientists everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.

Responsibilities

• Challenge advanced language models on topics like ligand–receptor interactions, pharmacokinetics and pharmacodynamics, in silico docking studies, assay development, chemical libraries, biomarker identification, and preclinical candidate evaluation
• Document every failure mode so we can harden model reasoning
• Converse with the model on compound screening strategies and theoretical drug design questions
• Verify factual accuracy and logical soundness
• Capture reproducible error traces
• Suggest improvements to our prompt engineering and evaluation metrics

Requirements

• Expertise in medicinal chemistry, pharmacology, high-throughput screening, target validation, ADMET profiling, lead optimization, molecular modeling, structure-based drug design, and translational research
• Clear, metacognitive communication—“showing your work”—is essential
• A PhD in pharmaceutical sciences, chemistry, pharmacology, or a closely related life-science field is ideal
• Peer-reviewed publications, lab-based discovery research, or applied computational chemistry projects signal fit

Employment Type

• Contract

Workplace Type

• Remote

Seniority Level

• Mid-Senior Level

Location

• Remote (USA)

Salary

• $8–$65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above.

Benefits

• As a contractor, you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.