Scientific & Laboratory Operations AI Specialist

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. The platform helps freelancers discover projects, consolidate opportunities across platforms, and build a unified AI training portfolio — creating a durable freelance career in a fast-growing industry.

Creating an OpenTrain account is free and gives you access to projects where domain expertise directly shapes how AI systems learn and behave.

About AI training and why it matters

AI systems learn from examples and human feedback. Scientific and laboratory expertise is vital to teach models to read figures, interpret experimental results, and understand technical documents. Contributors work remotely and flexibly on tasks like annotation, evaluation, and rubric creation that directly influence model behavior.

This work is an accessible way to join the cutting edge of AI development — it’s often remote, flexible, and a valuable way to monetize professional domain knowledge.

The role — high-level

Micro1 is hiring Scientific & Laboratory Operations AI Specialists to lend real-world scientific judgment to AI training datasets. You will review documents and visualizations, create evaluation rubrics, and document scientific accuracy and clarity so models learn from high-quality examples.

This is a contractor, part-time role expected to average 20+ hours per week. The project is global and remote; English fluency is required.

What you’ll do day-to-day

You will apply your scientific and laboratory experience to review, evaluate, and annotate technical materials so they can be used to train and validate AI systems.

• Review and analyze scientific figures, laboratory reports, experimental results, quality documentation, and technical publications for accuracy, clarity, and consistency.
• Assess dashboards, charts, and scientific visualizations; provide expert feedback on scientific integrity and presentation.
• Create rubrics and evaluation stems tailored to interpreting complex documents and visual data representations.
• Interpret, summarize, and critically assess complex scientific information to support robust AI training datasets.
• Document observations, flag inconsistencies, and recommend improvements for clarity and scientific accuracy.

Requirements

The role requires demonstrable scientific, lab, or quality experience and strong analytical and communication skills. All requirements below come from the project brief and are essential.

• Professional experience in scientific, laboratory, research, manufacturing, or quality environments.
• Demonstrated ability to critically evaluate scientific figures, experiment results, laboratory documentation, and technical publications.
• Strong analytical reasoning and problem-solving skills with complex scientific or technical content.
• Proficiency reviewing dashboards, charts, and scientific visualizations for accuracy and utility.
• Excellent verbal and written communication skills, with clear documentation and feedback.

Helpful background and who should apply

Candidates with backgrounds in biology, chemistry, physics, laboratory management, R&D, quality science, or manufacturing science are especially well matched to this work.

This role is listed as entry level for AI training (experience measured in relevant domain practice rather than prior annotation work). If you are comfortable working remotely with digital documentation tools and providing precise written feedback, you should consider applying.

Compensation, logistics, and project details

Pay for this project is $50–$70 USD per hour. The engagement is contractor, part-time, and expected to be 20+ hours per week. Work is remote and open worldwide; English is required.

Data you’ll work with: documents and visualizations (dataType: DOCUMENT). Labeling tasks include evaluation/rating and data collection; the project uses third-party/other labeling software.

• Employment type: Contractor, Part-time.
• Time commitment: 20+ hours/week.
• Languages: English required.
• Label types: Evaluation/Rating and Data Collection.
• Labeling software: Other (platform provided by the project).

How to apply

If this role fits your background, apply through OpenTrain where the Micro1 project is listed. Create a free OpenTrain account to build a profile that showcases your scientific experience and to submit an application.

When applying, highlight relevant scientific or lab experience, examples of work reviewing figures or technical documents, and your availability for 20+ hours per week.