Remote Environmental Science Expert — Climate & AI Research

Remote Environmental Science Expert — Climate & AI Research

Full-Time 75 - 90 £ / hour (est.) No working from home possible
Alignerr

At a Glance

  • Tasks: Develop and review advanced environmental science problems focused on climate and AI.
  • Company: Alignerr, a leader in innovative environmental research.
  • Benefits: Competitive hourly pay, flexible hours, and remote work.
  • Other info: Flexible commitment of 10 to 40 hours per week.
  • Why this job: Make a real impact on climate solutions while working from anywhere.
  • Qualifications: Master’s or PhD in Environmental Science with coding skills in Python or R.

The predicted salary is between 75 - 90 £ per hour.

Alignerr is seeking an Environmental Science Expert to develop and review advanced environmental science problems. This remote role offers an hourly compensation of $75-$90.

The ideal candidate should hold a Master’s or PhD in Environmental Science and possess strong expertise in climate modeling, ecology, and sustainability. Exceptional communication skills and coding experience in Python or R are also required.

The commitment is between 10 and 40 hours per week, allowing for flexible working hours.

Remote Environmental Science Expert — Climate & AI Research employer: Alignerr

Alignerr is an exceptional employer that values innovation and expertise in the field of environmental science. With a flexible remote working environment, employees enjoy the freedom to balance their professional and personal lives while contributing to meaningful climate and AI research. The company fosters a culture of continuous learning and growth, providing opportunities for professional development and collaboration with like-minded experts.

Alignerr

Contact Details:

Alignerr Recruitment Team

We think you need these skills to ace Remote Environmental Science Expert — Climate & AI Research

Environmental Science
Climate Modeling
Ecology
Sustainability
Communication Skills
Coding in Python
Coding in R