Atmospheric Science Expert (Masters/PhDs)

Labelbox; Remote; GBP 150,000 - 200,000; Part time

Job summary

A leading AI research partner is seeking an Environmental Science Expert to engage in remote, flexible work developing and solving complex environmental challenges. The ideal candidate should possess a Master's or PhD in Atmospheric Science or a related field along with strong coding skills in Python or R. This role offers competitive compensation, requiring collaboration with domain experts to enhance AI model reasoning, all while ensuring scientific rigor across deliverables.

Qualifications

• Master’s or PhD in Atmospheric Science or a related field from a top U.S. university (or equivalent).
• Experience coding in Python or R for research or projects.
• Strong expertise in climate modeling, ecology, or sustainability.
• Exceptional written and verbal communication skills with strong attention to detail.
• Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.

Responsibilities

• Develop, solve, and review advanced environmental science problems with real-world relevance.
• Apply expertise in climate modeling, ecology, sustainability to design complex problem statements.
• Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning.
• Ensure scientific rigor, clarity, and depth across all deliverables.

Skills

Python

R

Climate modeling

Ecology

Sustainability

Education

Master’s or PhD in Atmospheric Science or related field

Job description

Overview

Environmental Science Expert - $90/hr Remote - Alignerr

Location: Remote

About the job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.

• Organization: Alignerr
• Position: Environmental Science Expert (Masters/PhDs)
• Type: Hourly Contract
• Compensation: $75–$90 /hour
• Location: Remote
• Commitment: 10–40 hours/week

Responsibilities

• Develop, solve, and review advanced environmental science problems with real-world relevance.
• Apply expertise in climate modeling, ecology, sustainability, or related areas to design complex problem statements.
• Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning.
• Ensure scientific rigor, clarity, and depth across all deliverables.

Requirements

• Master’s or PhD in Atmospheric Science or a related field from a top U.S. university (or equivalent).
• Experience coding in Python or R for research or projects.
• Strong expertise in climate modeling, ecology, or sustainability.
• Exceptional written and verbal communication skills with strong attention to detail.
• Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.

Preferred

• Prior experience with data annotation, data quality, or evaluation systems

Application Process

• Submit your resume
• Complete a short screening
• Project matching and onboarding
• PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.