Biology Expert, Computational Biology Problem Design

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About This Type of AI Training Work

AI training (also called data labeling or human feedback work) is the human side of building intelligent systems. In this role you will create and verify content that becomes part of model training, evaluation, or fine-tuning datasets.

This project focuses on text work for generative models and fine-tuning: designing realistic, computationally intensive bioinformatics problems, writing clear problem statements, and providing reproducible Python-based verification steps and answers.

The Role

You will design original computational biology research problems that reflect real research workflows in bioinformatics, systems biology, or molecular modeling. Each problem must require non-trivial reasoning, be solvable and verifiable using Python, and include reproducible verification steps using standard computational biology libraries.

Work is part-time and project-based; hours vary across project phases. Assignments include problem design, writing solution scripts or verification notes, and reviewing or annotating text-based solutions produced by others.

• Create research-style problems aligned with bioinformatics and computational biology workflows.
• Produce answers with reproducible verification steps runnable in Python (NumPy, SciPy, Biopython, or similar).
• Review and annotate text submissions for correctness and reproducibility.

What You'll Do Day to Day

Typical tasks include drafting problem statements, implementing or outlining verification procedures, running or validating Python-based checks, and writing clear answer explanations that others can reproduce.

You may also evaluate candidate solutions, provide structured ratings or feedback, and refine problem prompts based on validation results to ensure they are research-relevant and unambiguous.

• Write 1–3 new computational problems per project phase (scope varies by project).
• Provide step-by-step verification using Python and common bioinformatics libraries.
• Annotate and rate text-based solutions for correctness, reproducibility, and scientific rigor.

Requirements

You must meet all of the following. We will verify qualifications from your CV and communications.

Applicants should prepare a CV in English that states their English proficiency level and includes a contact email and phone number.

• Bachelor’s degree or higher in Biology or a related field.
• Minimum 2 years of professional biology or computational biology experience.
• Advanced Python skills and experience with NumPy, SciPy, Biopython (or equivalent).
• Experience analyzing biological data, algorithms, and computational methods.
• Familiarity with bioinformatics tools and computational biology subject matter.
• Hands-on text annotation or review experience.
• Submit CV in English and include your English proficiency, email address, and phone number.

Location & Eligibility

This project is open to qualified remote contractors worldwide except for specific restricted locations listed below. We cannot acquire services from those jurisdictions.

Please review the restricted locations carefully before applying. Being outside a restricted location is required for contracting.

• Restricted locations: Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar, Russia, Belarus, Palestine, Switzerland, China, Taiwan, Kenya.
• Restricted U.S. states: Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana, Kansas, Louisiana, Maine, Maryland, Massachusetts, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, Ohio, Oregon, Tennessee, Utah, Vermont, Washington, West Virginia.
• Additional restricted territories: Antarctica, Aruba, Åland Islands, Saint Barthélemy, Bonaire, Sint Eustatius and Saba, Bouvet Island, Cocos (Keeling) Islands, Democratic Republic of the Congo, Cook Islands, Christmas Island, Western Sahara, Falkland Islands (Malvinas), French Guiana, Guadeloupe, S

Schedule, Compensation, and How It Works

This is contract, part-time work with a typical time commitment of 20+ hours per week; actual hours vary by project phase. Roles are paid per project or per hour depending on the assignment.

Pay range: $15–$60 USD per hour (final rate depends on project scope and complexity). Assignments are posted via OpenTrain; you'll be given instructions for deliverables, verification expectations, and submission format.

• Employment type: Contractor, Part-time.
• Time requirement: 20+ hours per week (project-dependent).
• Payment: PAY_PER_HOUR, $15–$60 USD/hr depending on scope and complexity.

Who Should Apply

Apply if you have a biology degree, solid computational biology experience, advanced Python skills, and prior text-annotation or review experience. You should be comfortable writing reproducible verification steps and aligning problems with real research workflows.

To apply, prepare your CV in English listing your degree, relevant experience, Python/library expertise, English proficiency level, and contact details (email and phone).

• Ideal for computational biologists, bioinformatics researchers, and scientists with strong Python expertise.
• Suitable for people seeking flexible, remote, project-based work that shapes how AI models learn in the biosciences.