Climate Data Specialist

Alignerr; India; Remote; INR 2,066,000 - 3,720,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Freelance autonomy

Job summary

Alignerr is seeking a Climate Data Specialist (AI Training) for remote hourly work. You will craft rigorous climate data problems, design challenging prompts, and assess AI outputs with domain expertise.

Requirements include advanced degrees in environmental science and proficiency in Python or R, plus strong English communication and independent, asynchronous collaboration across time zones.

Qualifications

• Master's or PhD in Environmental Science, Atmospheric Science, Ecology, Earth Systems, or closely related field.
• Proficient in Python or R for research, data analysis, or scientific computing.
• Fluent in English and able to communicate complex concepts clearly.

Responsibilities

• Develop, solve, and review advanced environmental science problems with real-world relevance and scientific rigor.
• Apply climate modeling, ecology, sustainability science, or related areas to design complex prompts that challenge AI reasoning.
• Evaluate AI-generated outputs for scientific accuracy, depth, and clarity—flagging errors and suggesting improvements.
• Collaborate asynchronously with AI researchers and domain experts to enhance model performance across environmental science topics.
• Ensure all deliverables meet high standards of scientific integrity, precision, and clarity.

Skills

Climate modeling

Ecology

Sustainability science

Environmental data analysis

Python

R

English

Education

Master's or PhD in Environmental Science or related field

Tools

Python

R

Job description

Climate Data Specialist (AI Training)

What if your years of environmental science training could directly shape how AI understands our planet's most pressing challenges? We're looking for Climate Data Specialists with advanced expertise in climate modeling, ecology, or sustainability to help build and train cutting-edge AI models — making them smarter, more accurate, and genuinely useful for real-world environmental science.

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

What You’ll Do

• Develop, solve, and review advanced environmental science problems with real-world relevance and scientific rigor
• Apply your expertise in climate modeling, ecology, sustainability, or related areas to design complex, nuanced problem statements that challenge AI reasoning
• Evaluate AI-generated outputs for scientific accuracy, depth, and clarity — flagging errors and suggesting improvements grounded in domain expertise
• Collaborate asynchronously with AI researchers and fellow domain experts to enhance model performance across environmental science topics
• Ensure all deliverables meet high standards of scientific integrity, precision, and clarity

Who You Are

• Hold a Master's or PhD in Environmental Science, Atmospheric Science, Ecology, Earth Systems, or a closely related field
• Deep expertise in one or more of the following: climate modeling, ecology, sustainability science, environmental data analysis, or related disciplines
• Proficient in Python or R for research, data analysis, or scientific computing
• Exceptional written communicator — you can explain complex concepts clearly and precisely
• Detail-oriented, self-motivated, and comfortable working independently in an asynchronous environment
• Fluent in English

Nice to Have

• Experience with data annotation, data quality evaluation, or AI training workflows
• Background in scientific writing, peer review, or academic publishing
• Familiarity with environmental datasets, modeling frameworks, or simulation tools
• Experience communicating science to interdisciplinary audiences

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, at 10–40 hours per week
• Freelance autonomy with the structure of meaningful, impactful work
• Apply your scientific expertise to one of the most consequential technology frontiers of our time
• Contribute to AI systems that will reason about climate, ecology, and sustainability at a global scale