Computational Biology AI Training Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect skilled contributors with specialized projects, help them build a credible professional profile, and make it easier to grow long-term experience in a rapidly expanding field.

OpenTrain AI is recruiting for this contractor opportunity. Creating an OpenTrain account is free, and qualified candidates can apply in minutes.

About AI Training Work

AI training is the human side of building modern artificial intelligence. Experts prepare data, create realistic benchmark tasks, and review model-generated answers so AI systems become more accurate, rigorous, and useful.

In this role, your computational biology and cheminformatics expertise will help evaluate AI systems working on real scientific problems in drug discovery. The work combines technical development, scientific judgment, and detailed written feedback.

The Role

As a Computational Biology and Cheminformatics AI Training Expert, you will support the development of AI systems for computational drug discovery. You will work with small-molecule, chemical, biological, and bioactivity data while applying expert judgment to benchmark tasks and model-generated outputs.

This is a part-time contractor opportunity requiring 20 or more hours per week. The advertised compensation is $80 to $110 per hour. The listing identifies the experience level as entry level, while the role requirements call for advanced scientific expertise and strong practical programming ability.

• Employment type: Contractor and part time
• Time commitment: 20+ hours per week
• Advertised rate: $80 to $110 per hour
• Working language: English
• Availability: Countries listed in the opportunity

What You'll Do

You will develop realistic computational drug discovery tasks, prepare the technical environments needed to run them, and assess whether AI-generated scientific responses are accurate and practically relevant. Your work will span chemical data, biological interpretation, code-based evaluation, and technical reporting.

• Analyze and interpret small-molecule and drug discovery datasets using computational biology, bioinformatics, and cheminformatics methods.
• Curate, annotate, and validate chemical and biological datasets from sources such as ChEMBL, PubChem, and DrugBank.
• Evaluate compound-target interactions, ADMET properties, lead optimization strategies, and SAR or SPR relationships.
• Develop benchmark tasks in terminal or command-line environments that represent realistic computational drug discovery scenarios.
• Build reproducible environments with tools such as Docker and create automated tests for task correctness and solvability.
• Review AI-generated scientific outputs and provide written feedback on accuracy, rigor, and practical relevance.

Required Skills and Experience

This opportunity requires advanced expertise in computational biology, cheminformatics, medicinal chemistry, biochemistry, or a related discipline. You should be comfortable combining scientific analysis with production-quality coding, data integration, and clear technical communication.

• Advanced expertise in computational biology, cheminformatics, medicinal chemistry, biochemistry, or a related discipline.
• Strong Python proficiency beyond analysis scripts, including experience building tools, pipelines, or testable code.
• Familiarity with Git, GitHub, and Docker.
• Experience with cheminformatics platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
• Practical experience with small-molecule drug discovery, SAR or QSAR evaluation, ADMET prediction, or virtual screening.
• Ability to curate and integrate chemical and bioactivity data from public databases.
• Ability to judge AI-generated scientific outputs and communicate complex chemical and biological concepts clearly in written reports and feedback.

Why Build Your AI Training Career With OpenTrain

AI training gives specialists a direct role in shaping how cutting-edge systems behave. Scientific contributors can apply their subject-matter knowledge to data preparation, benchmark design, code evaluation, and model review while building experience in an emerging technology field.

OpenTrain helps freelancers manage AI training opportunities in one place, showcase credible work through a professional profile, and discover projects that match their skills. Your OpenTrain profile can become a durable portfolio of AI training experience.

• Work on AI systems supporting computational drug discovery.
• Apply advanced scientific and programming expertise to practical evaluation tasks.
• Build a portfolio that demonstrates technical AI training experience.
• Take on flexible part-time contractor work at an advertised rate of $80 to $110 per hour.

How to Apply

Review the requirements and apply through OpenTrain. Be prepared to demonstrate your computational biology or cheminformatics background, Python development experience, familiarity with relevant tools, and ability to evaluate scientific reasoning clearly and accurately.

• Create or update your free OpenTrain profile.
• Highlight relevant drug discovery, chemical data, Python, and AI evaluation experience.
• Apply in minutes through OpenTrain.