Atmospheric Science Expert (Masters/PhDs)

Alignerr Corp.; Delhi; Remote; INR 6,548,000 - 11,786,000; Part time

Job summary

Alignerr Corp. is seeking an Atmospheric Science Expert to develop and evaluate advanced scientific problems that train AI models to reason with scientific rigor. The role is remote, hourly, and offers flexible scheduling for 10–40 hours per week.

Ideal candidates hold a Master’s or PhD in atmospheric sciences, with strong Python or R skills and a deep expertise in climate modeling or related fields. Excellent written communication and attention to detail are essential for accurate, high-quality

Qualifications

• Master's or PhD in Atmospheric Science, Climate Science, Meteorology, or a closely related field.
• Experience with Python or R for scientific research or data analysis.
• Deep expertise in climate modeling, atmospheric dynamics, ecology, or sustainability science.
• Exceptional written communicator and able to explain complex concepts clearly and precisely.
• Detail-oriented and methodical, with a strong commitment to scientific accuracy.
• Fluent in English.

Responsibilities

• Design and solve advanced atmospheric science problems with real-world relevance across climate modeling, weather dynamics, atmospheric chemistry, and more.
• Review and evaluate AI-generated scientific reasoning for accuracy, depth, and rigor.
• Develop complex, multi-step problem statements that challenge AI models to reason at an expert level.
• Collaborate asynchronously with AI researchers and domain experts to refine model outputs.
• Ensure scientific clarity, precision, and integrity across every deliverable.
• Work independently and on your own schedule — no meetings, no commute.

Skills

Python

R

Climate modeling

Atmospheric dynamics

Education

Master's or PhD in Atmospheric Science / Climate Science / Meteorology or related field

Tools

Python

R

Job description

Atmospheric Science Expert (AI Training)

About The Role

What if your deep expertise in atmospheric science could directly shape how AI reasons about climate, weather systems, and the future of our planet? We're looking for Atmospheric Science experts to develop and evaluate advanced scientific problems that train cutting‑edge AI models to think with real scientific rigor.

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

What You'll Do

• Design and solve advanced atmospheric science problems with real-world relevance — covering areas like climate modeling, weather dynamics, atmospheric chemistry, and more
• Review and evaluate AI-generated scientific reasoning for accuracy, depth, and rigor
• Develop complex, multi-step problem statements that challenge AI models to reason at an expert level
• Collaborate asynchronously with AI researchers and fellow domain experts to refine model outputs
• Ensure scientific clarity, precision, and integrity across every deliverable
• Work independently and on your own schedule — no meetings, no commute

Who You Are

• Holds a Master's or PhD in Atmospheric Science, Climate Science, Meteorology, or a closely related field
• Experienced with Python or R for scientific research or data analysis
• Deep expertise in one or more of: climate modeling, atmospheric dynamics, ecology, or sustainability science
• Exceptional written communicator — able to explain complex concepts clearly and precisely
• Detail-oriented and methodical, with a strong commitment to scientific accuracy
• Fluent in English

Nice to Have

• Prior experience with data annotation, AI evaluation, or quality assessment workflows
• Background in academic publishing, peer review, or scientific writing
• Familiarity with AI tools or language model capabilities
• Experience working across interdisciplinary research teams

Why Join Us

• Work on frontier AI projects alongside leading research labs and AI teams
• Fully remote and asynchronous — work when and where it suits you
• Freelance autonomy with the structure of meaningful, intellectually stimulating work
• Apply your scientific expertise to one of the most impactful technology challenges of our time
• Potential for ongoing work and contract extension as new projects launch