Life And Environmental Sciences AI QA Lead

You will review AI-generated explanations and contributor work across biology, ecology, environmental science, sustainability, conservation, climate, and related life science topics. Your feedback will help remote review teams apply scientific and quality standards consistently.

You will also support trainers and quality reviewers by answering questions, explaining guideline updates, and identifying repeated or serious quality problems.

• Check life and environmental science items for accuracy, reasoning, clarity, safety, formatting, and instruction following.
• Evaluate scientific rigor, ecological context, environmental systems thinking, data interpretation, and appropriate uncertainty.
• Review trainer and QA work, provide clear written feedback, and escalate misleading claims, unsafe recommendations, or flawed scientific reasoning.
• Create and maintain style guides, FAQs, trackers, quality notes, examples, calibration tasks, and onboarding materials.
• Support onboarding and training, encourage consistent rubric use, and identify workflow improvements.

What It Pays And Takes

This is a remote, part-time contract role for contributors based in India. The role is listed as entry level, but applicants need substantial subject-matter and related professional experience.

• Pay: $20 per hour.
• Time: 20 or more hours per week.
• Location: India; remote work.
• Language: Strong written and spoken English.
• Education: A bachelor's degree, master's degree, PhD, or equivalent professional experience in biology, environmental science, ecology, conservation biology, earth science, public health, agriculture, marine science, sustainability, life sciences, or a related field.
• Experience: At least three years in scientific research, teaching, fieldwork, laboratory work, conservation, sustainability, science communication, academic review, or related work.
• Knowledge: Biology, ecosystems, biodiversity, evolution, genetics, physiology, climate change, pollution, conservation, sustainability, and scientific methods.
• Skills: Careful rubric-based judgment, strong organization, attention to detail, and the ability to write clear, precise feedback.
• Helpful background: AI training, data annotation, large language model evaluation, scientific QA, or remote team support.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training is the human work behind artificial intelligence. People review examples and model responses, check accuracy and safety, and give feedback that helps AI systems improve; subject-matter experts are especially valuable when the work involves scientific reasoning.