Environmental Science Expert (Masters/PhDs)

Alignerr Corp.; Ciudad de México; A distancia; MXN 1.026.000 - 2.309.000; A tiempo parcial

Descripción de la vacante

Alignerr is seeking an Environmental Science Expert to help shape how AI reasons about climate, ecology, and sustainability. This remote, hourly contract runs 10–40 hours per week, offering flexible scheduling for domain experts.

You will design complex, real-world problems, evaluate AI outputs for scientific accuracy, and collaborate asynchronously with AI researchers. A Master's or PhD and fluency in English are required.

Formación

• Master's or PhD in Environmental Science or a closely related field
• Expertise in at least one: climate modeling, ecology, or sustainability science
• Proficient in Python or R for research and data analysis
• Excellent written communication and ability to explain complex science clearly

Responsabilidades

• Develop, solve, and review advanced environmental science problems with real-world relevance and scientific depth
• Apply climate modeling, ecology, sustainability science, or related disciplines to design complex, multi-step problem statements
• Evaluate AI-generated responses for scientific accuracy, rigor, and reasoning quality
• Collaborate asynchronously with AI researchers and fellow domain experts to improve how AI models handle environmental science topics
• Ensure clarity, depth, and scientific integrity across all deliverables
• Work independently on task-based assignments at your own pace

Conocimientos

Climate modeling

Ecology

Sustainability science

Environmental data analysis

Python

R

Scientific writing

Detail-oriented

Fluent English

Educación

Master's or PhD in Environmental Science / Climate Science / Ecology / Earth Systems

Herramientas

Python

R

Descripción del empleo

Environmental Science Expert (AI Training)

About The Role

What if your years of graduate-level research in climate modeling, ecology, or sustainability could directly shape how AI reasons about the planet's most pressing challenges? We're looking for Environmental Science experts to help build and train cutting-edge AI models — designing complex, real-world problems that push AI to think at the level of a domain scientist.

• 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 depth
• Apply your expertise in climate modeling, ecology, sustainability, or related disciplines to design complex, multi-step problem statements
• Evaluate AI-generated responses for scientific accuracy, rigor, and reasoning quality
• Collaborate asynchronously with AI researchers and fellow domain experts to improve how AI models handle environmental science topics
• Ensure clarity, depth, and scientific integrity across all deliverables
• Work independently on task-based assignments at your own pace

Who You Are

• Master's or PhD in Environmental Science, Climate Science, Ecology, Earth Systems, or a closely related field
• Strong expertise in at least one of: climate modeling, ecology, sustainability science, environmental data analysis, or related areas
• Comfortable coding in Python or R for research, modeling, or data analysis
• Exceptionally clear written communicator — you can explain complex science precisely and accessibly
• Detail-oriented and rigorous — you hold yourself to publication-quality standards
• Fluent in English

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Background in interdisciplinary environmental research spanning multiple domains
• Familiarity with AI tools or large language model capabilities as an end user
• Experience communicating science to non-specialist 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
• Freelance autonomy with the structure of meaningful, task-based work
• Make a direct, tangible impact on how AI understands and reasons about environmental science
• Contribute to AI development at a moment when getting climate and ecology reasoning right genuinely matters
• Potential for ongoing work and contract extension as new projects launch