Jobs in Yellowknife, Canada
Atmospheric Science Expert (Masters/PhDs)
Labelbox
Regional Sales Director - Canada
Allparts, Inc.
Remote Junior Accountant: AR & Billing Specialist
Procurify
Discover more opportunities than anywhere else. Find more jobs nowDesignated Managing Broker - (Bilingual English/French) - Quebec - (REMOTE)
eXp Realty Canada
Full Stack Web Developer
SourceDirect Talent
Biology Expert (Masters/PhDs)
Labelbox
Connect with headhunters to apply for similar jobsGeneral Postdoctoral Researcher (Masters/PhDs)
Labelbox
Remote Biology Expert for AI Research & Analysis
Labelbox
General Postdoctoral Researcher (Masters/PhDs)
Labelbox
Insurance Broker - Sales Focused - Remote - Specialty Lines
Obvi Inc.
Environmental Science Expert (Masters/PhDs)
Labelbox
Remote AI Postdoctoral Researcher — Advanced Models
Labelbox
Senior Project Manager - SaaS ERP for Higher Education
Ellucian Company L.P.
Remote Cloud Bookkeeper & Controller for Agencies
Parakeeto
Solution Architect - Switchers
Grass Valley Canada
Video Switcher Solutions Architect – Pre-Sales
Grass Valley Canada
Remote Backend Engineer — Enterprise-Grade Systems
1Password
Braze Campaign Lead — Remote, Data-Driven Marketing
HelloKindred
Freelance Interpreter - Flexible Schedule & Competitive Pay
Hanna Interpreting Services LLC
Remote AI Research Fellow (Postdoc) - $75-$90/hr
Labelbox
Genesys Cloud CX Tech Writer & Business Analyst (Remote)
Miratech
Atmospheric Science Expert (Masters/PhDs)
Job summary
A leading environmental consulting firm is seeking an Environmental Science Expert for a remote position, offering $75-90 per hour. The role involves solving advanced environmental science problems, applying expertise in climate modeling, and collaborating with AI researchers. Candidates should hold a Master's or PhD in Atmospheric Science or a related field and possess strong coding skills in Python or R. Exceptional communication abilities and attention to detail are essential for success in this flexible 10-40 hours per week role.
Qualifications
- Master's or PhD from a top U.S. university or equivalent.
- Experience coding in Python or R.
- Strong expertise in climate modeling, ecology, or sustainability.
Responsibilities
- Develop and review advanced environmental science problems.
- Collaborate with AI researchers to enhance AI model reasoning.
- Ensure scientific rigor across all deliverables.
Skills
Education
Environmental Science Expert - $90/hr Remote - Alignerr
Location: Remote
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
- Organization: Alignerr
- Position: Environmental Science Expert (Masters/PhDs)
- Type: Hourly Contract
- Compensation: $75–$90 /hour
- Location: Remote
- Commitment: 10–40 hours/week
- 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.
- Master’s or PhD in Atmospheric 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.
- Prior experience with data annotation, data quality, or evaluation systems
- Submit your resume
- Complete a short screening
- Project matching and onboarding
- PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.