Atmospheric Science Expert (Masters/PhDs)

Alignerr Corp.

Delhi

Remote

INR 8,002,000 - 14,670,000

Part time

46 hours ago
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Benefits offered by this job

Remote work
Flexible hours

Job summary

Alignerr is seeking an Atmospheric Science Expert for AI training in a fully remote, flexible hourly contract. The role targets researchers who want to contribute to frontier AI projects on their own schedule and with substantial autonomy.

The ideal candidate holds a Master’s or PhD in Atmospheric Science, climate science, or meteorology, and is proficient in Python or R for data analysis. English fluency is essential.

Qualifications

  • Master's or PhD in Atmospheric Science or related field.
  • Proficient in Python or R for research and data analysis.
  • Expertise in climate modeling and atmospheric dynamics.
  • Excellent written communication in English.

Responsibilities

  • Design and solve advanced atmospheric science problems with real-world relevance.
  • 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
English

Education

Master's or PhD in Atmospheric Science

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.

This is a fully remote, flexible contract role built for working researchers, academics, and scientists who want to contribute to something at the frontier of technology — on their own schedule.

  • 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
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