Climate Data Scientist

Crossing Hurdles; Remote; GBP 45,000 - 65,000; Full time

Job summary

A leading environmental consulting firm is seeking a PhD-level climate scientist to design real-world climate analysis problems for AI systems. Responsibilities include multi-step data discovery tasks and the creation of evaluation rubrics. The ideal candidate will possess professional experience in climate science, familiarity with environmental databases, and strong analytical skills. This role is fully remote, requiring independent work in a project-based environment.

Qualifications

• PhD in a relevant scientific field from a top institution.
• Professional research experience in climate science or environmental monitoring.
• Familiarity with environmental databases like NOAA and NASA Earth Data.

Responsibilities

• Design high-quality climate analysis problems for AI training.
• Develop tasks involving environmental data discovery and analysis.
• Collaborate with a distributed team of research experts.

Skills

Attention to detail

Analytical reasoning

Written communication skills

Verbal communication skills

Education

PhD in Climate Science or related field

Job description

• Design high-quality, real-world climate analysis problems to support training and evaluation of frontier AI systems.
• Develop multi-step tasks involving environmental data discovery, extraction, and analysis across public data portals.
• Craft climate and geophysical workflows requiring navigation of government and scientific databases.
• Create detailed evaluation rubrics to assess AI reasoning, data interpretation, and analytical performance.
• Apply climate science and data analysis expertise to ensure scientific accuracy and real-world relevance.
• Collaborate asynchronously with a distributed team of research and domain experts.

Requirements

• PhD in Climate Science, Earth Science, Environmental Science, Atmospheric Science, Geophysics, or a related field from a top institution.
• Professional research experience in climate science, environmental monitoring, or geophysical data analysis.
• Familiarity with environmental and climate databases such as NOAA, EPA, EIA, USGS, or NASA Earth Data.
• Exceptional attention to detail and strong analytical reasoning skills.
• Excellent written and verbal communication with high English proficiency.
• Comfortable working independently in a remote, project-based environment.