10 days ago
Environmental Science Expert
Alignerr
Hybrid
Contractor
$187,200
Hybrid
Job Overview
Job TitleEnvironmental Science Expert
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$187,200
LocationHybrid
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.
Job Description
About Alignerr
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
Your Role as an Environmental Science Expert
This hourly contract position is for an Environmental Science Expert (Masters/PhDs) to support our mission. The role offers flexible commitment of 10–40 hours/week and is fully remote.
Role Responsibilities (Training Support Will Be Provided)
- Develop, solve, and review advanced environmental science problems with real-world relevance.
- Apply expertise in climate modeling, ecology, sustainability, or related areas to design complex problem statements.
- Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning.
- Ensure scientific rigor, clarity, and depth across all deliverables.
Requirements
- Master’s or PhD in Environmental Science or a related field from a top U.S. university (or equivalent).
- Experience coding in Python or R for research or projects.
- Strong expertise in climate modeling, ecology, or sustainability.
- Exceptional written and verbal communication skills with strong attention to detail.
- Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.
Preferred Qualifications
- Prior experience with data annotation, data quality, or evaluation systems.
Application Process (Takes 15-20 min)
- Submit your resume.
- Complete a short screening.
- Project matching and onboarding.
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Key skills/competency
- Environmental Science
- Climate Modeling
- Ecology
- Sustainability
- Python
- R
- AI Research
- Problem Solving
- Scientific Rigor
- Data Annotation
How to Get Hired at Alignerr
- Research Alignerr's AI focus: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their partnerships with leading AI labs.
- Tailor your resume: Highlight advanced environmental science expertise, Python/R coding skills, and specific experience in climate modeling, ecology, or sustainability for the Environmental Science Expert role.
- Showcase problem-solving skills: Emphasize your experience in developing and solving complex, real-world scientific problems, relevant to AI model training.
- Prepare for the AI interview: Expect questions on scientific rigor, data quality, asynchronous collaboration, and your ability to articulate complex scientific concepts clearly.
- Demonstrate domain expertise: Be ready to discuss your specialized knowledge in climate modeling, ecology, or sustainability in detail, providing practical examples.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What is the typical weekly commitment for an Environmental Science Expert at Alignerr?
02What kind of AI models will I be working to train at Alignerr?
03Are there specific environmental science sub-fields Alignerr prioritizes for this role?
04How does Alignerr's asynchronous collaboration model work for Environmental Science Experts?
05What is the expected timeline for the application process at Alignerr for this role?
06Can I apply to the Environmental Science Expert role if I'm not based in the listed countries?
07What kind of Python or R coding experience is expected for this Alignerr role?
08How important is prior data annotation experience for an Environmental Science Expert at Alignerr?
09What does 'enhancing AI model reasoning' mean in the context of this Alignerr role?
10What specific aspects of scientific rigor does Alignerr look for in problem statements?
Explore similar opportunities that match your background