Immunology AI Training Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is the hiring and contracting organization for this role and makes it easy to find flexible, remote work, build a unified AI training portfolio, and grow a durable freelance career in the human side of AI.

• Platform focused on careers teaching AI: annotation, review, and domain-specialist evaluation.
• Works with experts across fields to improve the scientific accuracy and safety of AI systems.

About AI training work

AI training (also called data labeling or human feedback work) is how modern models learn from human examples and judgment. Contributors evaluate outputs, create and refine datasets, and write guidance that shapes how models respond in specialized areas like immunology.

This field is fast-growing, largely remote, and offers flexible part-time work that often requires domain expertise rather than formal industry employment history.

• 100% remote: work from anywhere with a computer and internet.
• Flexible, part-time schedules that can fit around other commitments.

The role

As an Immunology AI Training Expert you will evaluate AI-generated immunology content, design and review datasets and scenarios, identify gaps and misconceptions, and contribute domain expertise to training materials and guidelines. You will collaborate with project coordinators and support ongoing review as content evolves.

• Title: Immunology AI Training Expert
• Employment: Contractor, Part-time
• Time: 20+ hours per week
• Work type: Remote, worldwide

What you'll do

Your core tasks are focused on scientific accuracy, clarity, and relevance of immunology content produced by AI systems. You will both evaluate model outputs and help design the materials the models learn from.

• Review AI-generated immunology text for accuracy, relevance, and clarity.
• Design or review datasets, case studies, and scenarios for immunology applications.
• Spot and document gaps, errors, and common misconceptions in outputs.
• Contribute to training materials, annotation guidelines, and reviewer notes.
• Collaborate with coordinators to clarify core immunology concepts and standards.
• Support ongoing quality reviews as immunology content and model behavior evolve.

Requirements

Candidates must bring advanced scientific training in immunology plus practical or research experience to judge scientific content rigorously and communicate corrections clearly.

• Advanced degree (Ph.D., MD, or equivalent) in immunology or a closely related field (required).
• Research or practical experience in immunological sciences (required).
• Strong analytical and critical thinking skills with attention to scientific rigor.
• Ability to explain complex immunology concepts to varied audiences.
• Familiarity with clinical or laboratory immunology practices is desirable.
• Experience with academic publishing, peer review, or educational content creation is a plus.

Who should apply

This role is suited to researchers, clinicians, postdocs, educators, or industry scientists in immunology who want flexible, remote consulting work that directly shapes how AI systems understand and communicate immunology.

• You value precision and clear scientific communication.
• You can work collaboratively in a remote setting and respond constructively to feedback.
• You want to apply domain expertise to improve real-world AI behavior.

Compensation & logistics

Compensation is hourly at $60–$80 USD per hour. This is a part-time contractor role requiring roughly 20+ hours per week. Work is performed remotely and globally in English.

• Pay: $60–$80 USD per hour.
• Hours: 20+ hours/week (part-time contractor).
• Data type: Text — label types include evaluation/rating and text-generation review.
• Language: English required.

How it works

OpenTrain AI manages contracting and project coordination. You will receive task instructions, annotation guidelines, and examples; contribute to guideline updates; and complete evaluations and reviews using provided interfaces. Expect iterative feedback cycles as guidelines and model outputs evolve.

• Apply through your OpenTrain profile and indicate your immunology background.
• Work remotely on tasks and guideline reviews, collaborating with project coordinators.
• Contribute to dataset design, review cycle feedback, and ongoing quality improvement.