Remote Climate AI Training Specialist

Alignerr Corp.; Boston (MA); Remote; USD 34,000 - 83,000; Part time

Job summary

Alignerr is seeking an Environmental Data Specialist to design and evaluate real-world climate/ecology problems used to train cutting-edge AI models. The role emphasizes rigorous scientific accuracy, independence, and clear communication while collaborating asynchronously with AI researchers.

Applicants should hold a master's or PhD in Environmental Science or related fields, be proficient in Python/R, and be fluent in English.

Qualifications

• Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field.
• Strong working knowledge of climate modeling, ecological systems, or sustainability science.
• Comfortable coding in Python or R for research or data analysis.
• Exceptionally clear written communicator with sharp attention to detail.
• Self-motivated and capable of working independently in an asynchronous environment.
• Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand.

Responsibilities

• Design and develop advanced, real-world environmental science problems spanning climate modeling, ecology, sustainability, and related fields.
• Solve and critically review complex problem sets to ensure scientific accuracy, depth, and rigor.
• Apply domain expertise to help AI models reason more accurately about environmental systems.
• Collaborate asynchronously with AI researchers and fellow domain experts to refine and improve AI outputs.
• Ensure all deliverables meet high standards of scientific clarity and precision.

Skills

Python

R

Data analysis

Written communication

Education

Master's or PhD in Environmental Science or related field

Job description

Alignerr is seeking an Environmental Data Specialist to design and evaluate real-world climate/ecology problems used to train cutting-edge AI models. The role emphasizes rigorous scientific accuracy, independence, and clear communication while collaborating asynchronously with AI researchers.

Applicants should hold a master's or PhD in Environmental Science or related fields, be proficient in Python/R, and be fluent in English.