Climate Data Specialist | $60/hr Remote | Mercor

Crossing Hurdles; Canada; Remote; CAD 68,880 - 82,656; Part time

Job summary

A referral partner specializing in climate data is seeking a Climate Data Specialist to develop and refine climate analysis tasks. This role involves creating evaluation rubrics for AI performance and collaborating with global experts on climate research. Requirements include a relevant PhD and experience with environmental databases. The position offers hourly pay between $50 and $60 and allows for remote work, requiring a commitment of 10-40 hours per week.

Qualifications

• PhD in Climate Science, Earth Science, Environmental Science, Geophysics, Atmospheric Science, or a related discipline from a top university.
• Strong professional research experience in climate or environmental data analysis.
• Experience with environmental databases.

Responsibilities

• Develop and refine climate analysis tasks.
• Create detailed evaluation rubrics for AI performance.
• Collaborate with global experts to validate AI outputs.
• Design scenarios to test model understanding and predictive analysis.

Skills

Data analysis

Research experience

Communication skills

Attention to detail

Education

PhD in Climate Science or related field

Tools

NOAA

EPA

NASA Earth Data

Job description

Climate Data Specialist | $60/hr Remote | Mercor

This range is provided by Crossing Hurdles. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$50.00/hr - $60.00/hr

At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with the world’s leading AI research labs to build and train cutting-edge AI models.

Organization: Mercor

Position: Climate Data Scientist

Referral Partner: Crossing Hurdles

Type: Hourly Contract

Compensation: $50–$60/hour

Location: Remote

Commitment: 10–40 hours/week

Role Responsibilities

• Develop and refine climate analysis tasks involving environmental databases, geophysical datasets, and climate model data.
• Create detailed evaluation rubrics to assess AI performance in scientific and environmental data interpretation.
• Collaborate asynchronously with global experts to validate AI outputs in the context of real-world climate research.
• Design scenarios that test model understanding of environmental systems, data modeling, and predictive analysis.

Requirements

• PhD in Climate Science, Earth Science, Environmental Science, Geophysics, Atmospheric Science, or a related discipline from a top university in the U.S., U.K., Canada, Australia, or New Zealand.
• Strong professional research experience in climate or environmental data analysis.
• Experience with environmental databases such as NOAA, EPA, EIA, USGS, or NASA Earth Data.
• Excellent analytical, writing, and communication skills.
• Strong attention to detail and ability to produce scientifically accurate content.

Application Process (Takes 20 min)

• Upload resume
• AI interview based on your resume (15 min)

Seniority level

Associate

Employment type

Contract

Job function

Analyst, Management, and Education

Industries

Data Infrastructure and Analytics, Technology, Information and Media, and Environmental Services

Referrals increase your chances of interviewing at Crossing Hurdles by 2x