Medicinal Chemistry Review Specialist

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring and contracting for this role, helping specialists apply their expertise to projects that improve advanced AI systems.

• Create an OpenTrain account for free
• Build a profile highlighting your scientific expertise
• Apply to AI training opportunities in minutes

About AI Training Work

AI training is the human side of building artificial intelligence. Specialists review examples, evaluate content, identify errors, and provide expert feedback so AI models can produce more accurate and useful results.

In this role, your medicinal chemistry judgment will help improve datasets involving chemical structures, reactions, experimental designs, mechanisms of action, and structure-activity relationships.

• Contribute to the development of advanced AI systems
• Work remotely with flexible, part-time scheduling
• Use specialized knowledge to improve scientific data quality

The Role

OpenTrain is seeking a Medicinal Chemistry Review Specialist to support AI model training through expert review of medicinal chemistry and drug discovery content. The work includes analyzing chemistry materials, refining datasets, resolving ambiguities, and delivering detailed feedback that improves training data quality and applicability.

This is a worldwide contractor and part-time opportunity requiring 20+ hours per week. The listed compensation is $60-$80 per hour, with an hourly rate of $80.

• Employment type: Contractor and part time
• Location: Worldwide and remote
• Time requirement: 20+ hours per week
• Language: English
• Payment: $60-$80 per hour

What You'll Do

You will evaluate medicinal chemistry information with a focus on scientific accuracy, clarity, and relevance to AI model development. You will also participate in iterative reviews and collaborate asynchronously to clarify requirements and improve submissions.

• Review medicinal chemistry data, reactions, and experimental designs
• Evaluate and annotate chemical structures, mechanisms of action, and SARs
• Provide detailed feedback on molecular properties, synthesis strategies, and optimization pathways
• Assess datasets for quality and relevance in AI model development
• Identify errors, ambiguities, and inconsistencies in chemistry-related content
• Collaborate asynchronously to clarify requirements and improve submissions
• Participate in iterative reviews that strengthen dataset fidelity

Requirements

The listing identifies this opportunity as entry level, but the work requires advanced subject-matter training and experience reviewing technical chemistry content. Applicants should be able to apply strong scientific judgment when interpreting and critiquing data, literature, patents, and structure-activity relationships.

• Advanced degree or advanced training in medicinal chemistry, organic chemistry, or a closely related field
• Experience in medicinal chemistry, drug discovery, pharmaceutical R&D, or reviewing related materials
• Strong understanding of organic synthesis, molecular design, and SAR analysis
• Ability to interpret and critique experimental data, literature, and patent information
• Familiarity with cheminformatics platforms, chemical structure drawing tools, and scientific databases
• Strong analytical, problem-solving, and scientific communication skills
• Ability to identify errors, ambiguities, and inconsistencies in chemistry content

Who Should Apply

This opportunity is suited to specialists with a strong medicinal or organic chemistry background who enjoy detailed technical review and scientific problem-solving. Experience with interdisciplinary or technology-driven projects is helpful, particularly for contributors interested in applying chemistry expertise to AI development.

• Medicinal chemists and organic chemists
• Drug discovery and pharmaceutical R&D professionals
• Researchers experienced with experimental data, literature, and patents
• Chemistry specialists familiar with cheminformatics or structure drawing tools
• Scientific reviewers who communicate clearly in English

How It Works

Create a free OpenTrain account, complete your profile with your chemistry background, and apply through OpenTrain. If selected, you will work remotely as a contractor on expert review tasks that help improve AI training data.

Flexible AI training work can fit around other professional, academic, or personal commitments. You choose a suitable workload while contributing directly to how advanced AI systems learn from scientific information.

• Apply online through OpenTrain
• Highlight your medicinal chemistry training and experience
• Complete expert review work remotely
• Contribute feedback that improves AI training datasets