Environmental Science AI Trainer — Remote Contract

Alignerr Corp.; Ciudad de México; Remote; MXN 1,026,000 - 2,309,000; Part time

Job summary

Alignerr is seeking an Environmental Science Expert to help shape how AI reasons about climate, ecology, and sustainability. This remote, hourly contract runs 10–40 hours per week, offering flexible scheduling for domain experts.

You will design complex, real-world problems, evaluate AI outputs for scientific accuracy, and collaborate asynchronously with AI researchers. A Master's or PhD and fluency in English are required.

Qualifications

• Master's or PhD in Environmental Science or a closely related field
• Expertise in at least one: climate modeling, ecology, or sustainability science
• Proficient in Python or R for research and data analysis
• Excellent written communication and ability to explain complex science clearly

Responsibilities

• Develop, solve, and review advanced environmental science problems with real-world relevance and scientific depth
• Apply climate modeling, ecology, sustainability science, or related disciplines to design complex, multi-step problem statements
• Evaluate AI-generated responses for scientific accuracy, rigor, and reasoning quality
• Collaborate asynchronously with AI researchers and fellow domain experts to improve how AI models handle environmental science topics
• Ensure clarity, depth, and scientific integrity across all deliverables
• Work independently on task-based assignments at your own pace

Skills

Climate modeling

Ecology

Sustainability science

Environmental data analysis

Python

R

Scientific writing

Detail-oriented

Fluent English

Education

Master's or PhD in Environmental Science / Climate Science / Ecology / Earth Systems

Tools

Python

R

Job description

Alignerr is seeking an Environmental Science Expert to help shape how AI reasons about climate, ecology, and sustainability. This remote, hourly contract runs 10–40 hours per week, offering flexible scheduling for domain experts.

You will design complex, real-world problems, evaluate AI outputs for scientific accuracy, and collaborate asynchronously with AI researchers. A Master's or PhD and fluency in English are required.