Atmospheric Science Expert (Masters/PhDs)

Alignerr Corp.; India; Remote; INR 827,000 - 1,653,000; Part time

Job summary

Alignerr is seeking an Atmospheric Science Expert to help train AI models with climate and weather science. This fully remote, hourly contract offers flexible scheduling and collaboration with AI researchers.

You will design and review problems, apply climate modeling expertise, and ensure rigor in AI-driven reasoning. English fluency and strong communication are essential for success.

Ideal candidates hold a master's or PhD and are proficient in Python or R, with strong data analysis skills.

Qualifications

• Master's or PhD in Atmospheric Science, Climate Science, Environmental Science, or a closely related field
• Experience with Python or R for research, data analysis, or modeling
• Fluent in English and able to translate complex science into clear problem statements

Responsibilities

• Design, solve, and review advanced atmospheric science problems with real-world scientific relevance
• Apply climate modeling, meteorology, ecology, or sustainability to craft complex, rigorous problem statements
• Evaluate AI-generated scientific reasoning for accuracy and depth
• Collaborate asynchronously with AI researchers and domain experts
• Ensure scientific rigor, clarity, and precision across deliverables
• Work independently on task-based assignments with flexible scheduling

Skills

Python

R

English communication

Atmospheric science expertise

Education

Master's or PhD in Atmospheric Science/Climate Science/Environmental Science

Tools

Python

R

Job description

Atmospheric Science Expert (AI Training)

What if your deep knowledge of atmospheric science could directly shape how AI reasons about climate, weather systems, and environmental change? We're looking for Atmospheric Science experts to develop and evaluate advanced scientific problems that train the next generation of AI models — making them more accurate, rigorous, and genuinely useful for the scientific community and beyond.

This is a fully remote, flexible contract role designed for researchers and academics who want to apply their expertise in a high-impact, forward-thinking environment. No prior AI experience needed — your scientific depth is what matters.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design, solve, and review advanced atmospheric science problems with real-world scientific relevance
• Apply your expertise in climate modeling, meteorology, ecology, or sustainability to craft complex, rigorous problem statements
• Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundness
• Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model outputs
• Ensure scientific rigor, clarity, and precision across all deliverables
• Work independently on task-based assignments — fully on your own schedule

Who You Are

• Master's or PhD in Atmospheric Science, Climate Science, Environmental Science, or a closely related field
• Experienced with Python or R for research, data analysis, or modeling
• Deep expertise in at least one of: climate modeling, atmospheric dynamics, ecology, or sustainability science
• Exceptionally clear written communicator who can translate complex science into well-structured problems
• Detail-oriented and methodical — you hold yourself to high standards of scientific accuracy
• Fluent in English

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Background in academic research, peer review, or scientific publishing
• Familiarity with AI or machine learning tools as a researcher or end user
• Experience designing curricula, problem sets, or research challenges

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs and AI teams
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based scientific work
• Make a direct, tangible impact on how AI understands and reasons about our planet's most pressing environmental challenges
• Potential for ongoing work and contract extension as new projects launch