Atmospheric Science Expert (Masters/PhDs)

Alignerr Corp.; Boston (MA); Remote; USD 69,000 - 83,000; Part time

Job summary

Alignerr is seeking an Atmospheric Science Expert to help train AI models by crafting rigorous problems in climate and atmospheric domains. Remote, hourly contract for researchers and academics who want flexible, high-impact work.

Requires advanced degrees and hands-on climate modeling experience; proficiency in Python or R and clear scientific communication are essential. You’ll collaborate with AI researchers on challenging tasks and deliver precise analyses.

Qualifications

• Master's or PhD in a relevant field.
• Hands-on climate modeling or atmospheric dynamics experience.
• Proficient in Python or R for data analysis.

Responsibilities

• Develop and review advanced atmospheric science problems with real-world relevance.
• Apply climate modeling or atmospheric knowledge to design nuanced problem statements for AI training.
• Collaborate asynchronously with AI researchers and domain experts to sharpen model reasoning.
• Evaluate scientific accuracy and rigor of AI-generated content on atmospheric topics.
• Ensure deliverables meet high scientific depth and precision.
• Work independently on task-based assignments on your schedule.

Skills

Python

R

Climate modeling

Atmospheric science

English fluency

Education

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

Tools

Geospatial analysis tools

Job description

Atmospheric Science Expert (AI Training)

About The Role

What if your deep knowledge of atmospheric science could directly shape how AI understands and reasons about our planet's most complex systems? We're looking for atmospheric science experts to help build and train cutting-edge AI models - creating challenging problems, crafting rigorous solutions, and pushing the boundaries of what AI can understand about climate, weather, and Earth's atmosphere.

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

• Develop, solve, and critically review advanced atmospheric science problems with real-world scientific relevance
• Apply your expertise in climate modeling, meteorology, ecology, or sustainability to design complex, nuanced problem statements
• Collaborate asynchronously with AI researchers and fellow domain experts to sharpen AI model reasoning in your field
• Evaluate the scientific accuracy, rigor, and clarity of AI-generated content across atmospheric and environmental topics
• Ensure all deliverables meet a high standard of scientific depth and precision
• Work independently on task-based assignments fully on your own schedule

Who You Are

• Master's or PhD in Atmospheric Science, Climate Science, Meteorology, Environmental Science, or a closely related field
• Experienced researcher with hands-on knowledge of climate modeling, atmospheric dynamics, or related specializations
• Comfortable coding in Python or R - whether for data analysis, modeling, or research workflows
• Naturally rigorous and detail-oriented - you hold your work to a high scientific standard
• Clear and confident written communicator who can explain complex concepts precisely
• Fluent in English

Nice to Have

• Experience in data annotation, data quality assurance, or AI evaluation workflows
• Familiarity with ecological modeling, sustainability research, or earth system science
• Background in reviewing or writing scientific literature
• Prior work with large datasets or geospatial analysis tools

Why Join Us

• Work on cutting-edge AI projects alongside leading AI research labs
• Fully remote and flexible - work when and where it suits you
• Freelance autonomy with the structure of meaningful, intellectually engaging work
• Apply your scientific expertise to a domain that's shaping the future of AI reasoning
• Potential for ongoing work and contract extension as new projects launch