Preclinical Drug Discovery AI Training Expert

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps specialists discover projects, build a professional AI-training profile, and apply in minutes. Creating an account is free.

About AI Training in Drug Discovery

AI training is the human side of building artificial intelligence. Experts review scientific information, label data, and evaluate model outputs so advanced systems can learn to reason more accurately about complex real-world problems.

In this role, your preclinical R&D experience can help shape AI platforms and physics-based foundation models for chemistry, materials science, and drug discovery. It is a flexible way to contribute to cutting-edge technology while working remotely.

The Role

OpenTrain AI is recruiting a Preclinical Drug Discovery AI Training Expert to support scientific data and model evaluation for frontier AI development. You will apply hands-on, non-administrative preclinical R&D experience to review, classify, label, and annotate technical materials and model outputs.

This is a worldwide, part-time contractor opportunity requiring less than 20 hours per week. The work is conducted in English and pays $60-$100 per hour.

• Job type: Part-time contractor
• Time requirement: Less than 20 hours per week
• Location: Worldwide and remote
• Language: English
• Pay: $60-$100 per hour

What You'll Do

You will bring practical pharmaceutical development judgment to AI-training workflows, helping improve the quality, relevance, and scientific reliability of training data and model evaluations.

• Review technical materials and real-world R&D data within your preclinical area of expertise.
• Label, classify, and annotate scientific data and AI model outputs.
• Provide expert perspective on target and modality selection, optimization, trade-offs, and development risk.
• Help define structure and quality standards for the scientific dataset pipeline.
• Participate in expert discussions, interviews, and research engagements.

Required Qualifications

This expert-level role is designed for professionals with substantial hands-on industry experience in preclinical drug discovery and development. Your experience must be non-administrative and come from a company that develops its own drug assets in-house and has taken programs to the clinic.

• At least 5 years of relevant industry R&D experience.
• Core R&D experience in one or more of these areas: discovery biology, medicinal chemistry, protein or antibody engineering, computational R&D, in vivo or translational research, pharmacology or PK-PD, toxicology, or CMC/formulation.
• Hands-on experience with one or more modalities, including small molecules, monoclonal antibodies, peptides, ADCs, bispecifics, mRNA, siRNA, ASOs, PROTACs, molecular glues, cell therapies, gene therapies, or radioligand therapies.
• Ability to label, classify, and annotate scientific data and AI model outputs.

Helpful Background

The following experience is helpful for contributing informed judgments across preclinical development workflows and evaluating the practical implications of AI-generated analysis.

• Experience taking a program through lead optimization or IND-enabling or preclinical development.
• Experience at a mid-sized, emerging, or resource-constrained biotechnology company outside the top 20 pharmaceutical companies.

Why This Work Matters

Every major AI system depends on carefully prepared and reviewed examples. By evaluating scientific content and model behavior, you can help teach AI systems how to handle specialized drug discovery information and support better reasoning in pharmaceutical R&D.

AI training work is remote and often flexible, making it possible to contribute your expertise around other professional commitments while participating in a rapidly growing technology field.

How to Apply

Create a free OpenTrain account, build your specialist profile, and apply through OpenTrain. Highlight your preclinical R&D function, drug modalities, industry experience, and experience advancing programs toward the clinic.

• Showcase relevant hands-on preclinical experience.
• Identify your core R&D discipline and therapeutic modalities.
• Mention lead optimization, IND-enabling, or preclinical development experience where applicable.
• Apply for this flexible worldwide contract opportunity in minutes.