Life Sciences AI Quality Assurance Lead

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. It helps contributors discover projects, build a lasting professional profile, and apply for work that matches their expertise. Creating an OpenTrain account is free.

About AI Training Work

AI training is the human side of building modern artificial intelligence. Experts review model outputs, assess accuracy and reasoning, and provide feedback that helps AI systems become more useful, reliable, and safe.

This remote work offers a way to apply scientific knowledge to cutting-edge technology while building experience in a fast-growing field. Many AI training projects are flexible and can fit around other professional or personal commitments.

The Role

OpenTrain is recruiting a Life and Environmental Sciences AI Quality Assurance Lead for remote contract work in India. You will support AI training projects involving biology, ecology, environmental science, sustainability, conservation, climate, and related life science topics.

The role focuses on reviewing AI-generated explanations and contributor work, applying scientific and quality rubrics, providing actionable written feedback, and helping remote review teams maintain consistent standards. The position is listed as entry level and requires 20+ hours per week.

• Location: India
• Work arrangement: Remote contract
• Schedule: Part time, 20+ hours per week
• Pay: $20 per hour
• Language: English

What You'll Do

You will combine subject-matter expertise with careful, rubric-based evaluation. Your reviews will help identify scientific errors, weak reasoning, unclear explanations, unsafe recommendations, and misleading claims before they affect training quality.

You will also support the systems and people behind the review process by documenting standards, answering questions, and helping contributors apply guidance consistently.

• Spot-check life and environmental science items for accuracy, reasoning, clarity, safety, formatting, and instruction following.
• Evaluate explanations for scientific rigor, ecological context, environmental systems thinking, data interpretation, and appropriate uncertainty.
• Review trainer and QA work, communicate guideline updates, answer questions, and escalate recurring or critical quality issues.
• Create and maintain style guides, FAQs, trackers, quality notes, examples, calibration tasks, and onboarding materials.
• Support onboarding and training, promote consistent rubric application, identify workflow improvements, and flag misleading claims, unsafe recommendations, or flawed scientific reasoning.

Requirements

You should bring advanced understanding of biology, ecology, environmental systems, climate science, and scientific methods, along with the judgment to distinguish accurate explanations from oversimplified or unsupported claims. Relevant academic or professional backgrounds include biology, environmental science, ecology, conservation biology, earth science, public health, agriculture, marine science, sustainability, life sciences, or a related discipline.

The role requires at least three years of relevant experience, even though the listing is categorized as entry level. Experience may come from scientific research, teaching, fieldwork, laboratory work, conservation, sustainability, science communication, academic review, or related workflows.

• Bachelor's degree, master's degree, PhD, or equivalent professional experience in a relevant discipline.
• At least three years of relevant scientific, academic, environmental, or review experience.
• Strong English communication skills and the ability to write clear, precise feedback.
• Broad knowledge of biology, ecosystems, biodiversity, evolution, genetics, physiology, climate change, pollution, conservation, sustainability, and scientific methods.
• Ability to detect incorrect biological claims, oversimplified ecological reasoning, unsupported environmental assertions, and misleading data interpretation.
• Judgment to identify unsafe scientific or environmental recommendations and communicate appropriate corrections.
• Experience applying detailed rubrics to AI-generated content or other academic and scientific review work.
• Careful rubric-based judgment, strong organization, and close attention to detail.
• Experience with AI training, data annotation, LLM evaluation, scientific QA, or remote team support is helpful.

Who Should Apply

This opportunity may suit a scientist, educator, researcher, conservation professional, sustainability specialist, or science communicator who enjoys precise evaluation and clear written guidance. It is especially relevant for people who can move comfortably between detailed subject-matter review, structured rubrics, and practical feedback for distributed teams.

• Life and environmental science professionals seeking flexible remote contract work.
• Scientific reviewers who can assess reasoning, uncertainty, and data interpretation.
• Contributors interested in helping improve how AI handles biology and environmental topics.
• Organized communicators who can document standards and support remote reviewers.

Build Your AI Training Career With OpenTrain

Every major AI system depends on people who prepare, review, and improve its training data. By contributing scientific expertise, you can help shape how AI explains complex topics while building a portfolio of work in an expanding technology field.

OpenTrain gives you one place to manage your AI training opportunities and develop a profile that reflects your experience. Apply through OpenTrain to explore this role and continue building a career at the intersection of science and AI.