Atmospheric Science Expert (Masters/PhDs)

Labelbox; Remote; EUR 40.000 - 60.000; Teilzeit

Zusammenfassung

A leading AI research partner is seeking an Environmental Science Expert to develop and address advanced environmental science problems. This remote role requires a Master's or PhD in a relevant field and expertise in climate modeling and sustainability. Candidates should have experience in Python or R, exceptional communication skills, and be fluent in English. The position offers flexible hours and a competitive hourly rate of $75 to $90.

Qualifikationen

• 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.

Aufgaben

• Develop, solve, and review advanced environmental science problems.
• Apply expertise to design complex problem statements.
• Collaborate with AI researchers and domain experts.
• Ensure scientific rigor, clarity, and depth across all deliverables.

Kenntnisse

Climate modeling

Ecology

Sustainability

Coding in Python or R

Communication skills

Ausbildung

Master's or PhD in Atmospheric Science or related field

Jobbeschreibung

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.