The work
As a Life and Environmental Sciences Team Lead, you will support AI training projects covering biology, ecology, environmental science, sustainability, conservation, climate, and related topics. The work focuses on checking scientific quality and helping remote reviewers apply clear standards.
The role is presented as a team lead position focused on quality assurance. Review the duties and qualifications carefully before applying.
- 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, answer guideline questions, communicate updates, and escalate serious or recurring quality issues.
- Create and maintain style guides, FAQs, trackers, quality notes, examples, calibration tasks, and onboarding materials.
- Support onboarding and training, encourage consistent rubric use, improve workflows, and flag misleading claims, unsafe recommendations, or flawed scientific reasoning.
What it pays and takes
This is a remote, part-time contract role for candidates in India. The work requires scientific judgment, clear written feedback, and careful review against defined quality standards.
- Pay: $20 per hour.
- Time: 20 or more hours per week.
- Location: Open to candidates in India.
- Language: Strong English communication skills and the ability to write clear, precise feedback.
- 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.
- Additional experience with AI training, data annotation, large language model evaluation, scientific quality assurance, or remote team support is helpful.
- Strengths: Careful rubric-based judgment, strong organization, and attention to detail.
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 systems that learn from examples, including reviewing model responses and checking whether information is accurate and useful. People with scientific expertise help identify errors, apply consistent standards, and improve how these systems handle specialized topics.