Environmental Science Expert (Masters/PhDs)

Alignerr Corp.; France; Remote; EUR 55,000 - 124,000; Part time

Job summary

Alignerr is seeking an Environmental Science Expert (AI Training) to design and validate real-world environmental science problems for AI models. This fully remote, hourly contract role fits scientists who value flexible schedules and impactful work.

Masters or PhD required, with expertise in climate modeling, ecology, sustainability, or earth systems science. Strong Python or R skills and fluency in English are essential.

Qualifications

• Master's or PhD in Environmental Science required.
• Strong expertise in climate modeling, ecology, sustainability, or earth systems science.
• Proficiency in Python or R for research or quantitative analysis.
• Fluent written and spoken English.

Responsibilities

• Design, solve, and review advanced environmental science problems with real-world relevance and scientific depth.
• Apply expertise to craft complex, meaningful problem statements for AI training.
• Collaborate asynchronously with AI researchers and domain experts to improve model reasoning and accuracy.
• Evaluate AI-generated scientific content for correctness, clarity, and rigor.
• Ensure deliverables meet high standards of scientific integrity and communicative precision.

Skills

Environmental science expertise

Climate modeling

Ecology

Sustainability

Earth systems science

Python/R

English proficiency

Education

Master's degree in Environmental Science

PhD in Environmental Science

Tools

Python

R

Job description

Environmental Science Expert (AI Training)

What if your expertise in climate modeling, ecology, or sustainability could directly shape how AI understands our planet's most pressing challenges? We're looking for Environmental Science experts — Masters and PhD holders — to help build and train cutting-edge AI models by developing rigorous, real-world scientific problems that push the boundaries of machine reasoning.

About The Role

This is a fully remote, flexible contract role designed for scientists who want to do meaningful work on their own schedule. No prior AI background needed — just deep domain expertise and a commitment to scientific rigor.

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

What You'll Do

• Design, solve, and review advanced environmental science problems with real-world relevance and scientific depth
• Apply your expertise in climate modeling, ecology, sustainability, or related disciplines to craft complex, meaningful problem statements
• Collaborate asynchronously with AI researchers and fellow domain experts to enhance AI model reasoning and accuracy
• Evaluate AI-generated scientific content for correctness, clarity, and rigor
• Ensure all deliverables meet high standards of scientific integrity and communicative precision
• Work independently on task-based assignments — fully on your own schedule

Who You Are

• Master's or PhD in Environmental Science or a closely related field
• Strong expertise in at least one of: climate modeling, ecology, environmental sustainability, or earth systems science
• Comfortable coding in Python or R for research or quantitative analysis
• Exceptionally clear written communicator — you can explain complex science without sacrificing accuracy
• Detail-oriented and methodical, with a genuine commitment to quality
• Fluent in English

Nice to Have

• Prior experience with data annotation, data quality, or AI evaluation workflows
• Background in scientific publishing, peer review, or academic research
• Familiarity with AI tools or large language model outputs
• Experience translating technical findings for non-specialist audiences

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
• Apply your advanced scientific training to problems that genuinely matter
• Freelance autonomy with the structure of meaningful, task-based work
• Contribute to AI systems that will shape how the world reasons about climate and ecology
• Potential for ongoing work and contract extension as new projects launch