Computational Biology Expert, Medicinal Chemistry Annotation

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We connect skilled contributors with real-world annotation projects, help members build a unified portfolio of AI training work, and support long-term freelance careers in this fast-growing field.

OpenTrain is the hiring and contracting organization for this role. When you join, you become part of a distributed community that helps shape how modern AI systems learn from scientific expertise.

• We focus on flexible, remote AI training roles that let you work from anywhere.
• OpenTrain roles range from entry-level tasks to specialized domain projects led by experts.

About AI training work in computational biology

AI training (data labeling/annotation) is the human side of building modern models. In computational biology and medicinal chemistry projects, expert reviewers annotate documents, check scientific accuracy, and create problem sets that teach models to reason about biological and chemical concepts.

These projects are typically asynchronous and remote, making them a strong fit for researchers, scientists, and domain specialists who want flexible, impactful work outside traditional lab or academic schedules.

• Work directly influences model behavior in drug discovery and bioinformatics contexts.
• Many projects accept part-time contribution and require clear written explanations of complex science.

The role: Computational Biology Expert

As a Computational Biology Expert at OpenTrain you will analyze and annotate scientific documents to improve AI performance in computational biology and medicinal chemistry. Your domain input will guide model outputs, improve data quality, and help create training materials that reflect real-world drug discovery challenges.

This is a contractor, part-time role requiring 20+ hours per week, remote and open to contributors worldwide who can work in English.

• Contractor, part-time — 20+ hours/week, remote and worldwide.
• Work with document data: classification, entity (NER) + classification, and evaluation/rating tasks.

What you'll do day-to-day

You will review and annotate documents, evaluate scientific statements, and develop problem sets and case studies grounded in medicinal chemistry and drug discovery. Collaboration is asynchronous—expect to share findings, validate others' annotations, and refine curation methods with fellow experts.

• Annotate complex biological and chemical documents for accuracy and relevance.
• Perform entity recognition and classification on scientific text.
• Rate and evaluate model outputs or existing annotations for quality.
• Create and review case studies, problem sets, and real-world scenarios.
• Collaborate asynchronously to validate findings and refine best practices.

Requirements

You must demonstrate a high level of domain expertise and clear written communication. OpenTrain requires contributors to follow project instructions closely and to document scientific reasoning clearly for training purposes.

• Advanced degree (PhD, PharmD, MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
• Experience annotating biological datasets or evaluating scientific content for accuracy.
• Demonstrated expertise in medicinal chemistry, drug discovery, or design.
• Familiarity with computational methods applied to biology or chemistry problems.
• Proficiency with bioinformatics, cheminformatics, or data analysis tools and strong written communication.

Who should apply

This role is ideal for early-career researchers, postdocs, industry scientists, or domain specialists who want flexible, paid work contributing deep scientific expertise to AI systems. If you enjoy explaining complex concepts in clear prose and have hands-on experience with biological or chemical data, you should apply.

• Early-career or experienced computational biologists with medicinal chemistry knowledge.
• Freelancers seeking part-time, high-impact annotation work in AI training.
• Candidates who can commit to 20+ hours/week and communicate in English.

Compensation, schedule, and logistics

Compensation is hourly: $90–$120 USD per hour. This is a contractor role billed per hour and expected to run as an ongoing part-time engagement with a minimum of 20 hours per week.

You will work with document-style data and perform classification, entity NER + classification, and evaluation/rating tasks. No specific labeling software is required in this posting; tools and detailed instructions will be provided when you start.

• Pay: $90–$120 USD per hour (hourly contractor rate).
• Schedule: part-time, 20+ hours/week, flexible and remote.
• Language: English required; contributors may be located anywhere worldwide.

How it works — applying and contributing

Apply through your OpenTrain account. If selected, you'll receive project briefs, annotation guidelines, and sample tasks to onboard you. Work is completed asynchronously; feedback and calibration rounds help align annotations with project standards.

OpenTrain supports your growth: contributions build your profile and may lead to more advanced, higher-paying projects in computational biology and medicinal chemistry.

• Create or use your OpenTrain profile to apply and submit work.
• You will complete onboarding examples and calibration tasks before full assignment.
• Ongoing feedback and peer validation ensure data quality and consistent standards.