About the role

Aplyr's Quick Take

This role is for an Environmental Science Expert who will work remotely on advanced environmental science problems, mainly collaborating with AI researchers. It's a contract position where you'll apply your expertise in areas like climate modeling and sustainability to help design complex problem statements.

Good fit

Ideal candidates are those with a Master's or PhD in Environmental Science or a related field, along with experience in Python or R. Strong communication skills and attention to detail are essential, and you should be comfortable working asynchronously.

Worth noting

The role is flexible, allowing for 10-40 hours per week, which could appeal to those looking for part-time work. However, the focus on coding and collaboration with AI researchers may not suit everyone in the environmental science field.

Environmental Science Expert - $90/hr Remote - Alignerr

- Location: Remote

About the job

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

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:

- 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

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Skills & Tags

python go ai data design

Aplyr's read

Labelbox is a cutting-edge data training platform focused on enhancing AI capabilities through efficient data annotation. Ideal for tech professionals passionate about AI and machine learning.
Synthesized from recent postings & public sources

What's promising

•Labelbox offers a robust platform that significantly accelerates AI model training.
•The company is at the forefront of AI data annotation, a rapidly growing field.
•Recent roles indicate a strong focus on diverse AI applications and research.

What to watch

•The niche focus on data annotation may limit broader tech career opportunities.
•Highly specialized roles might require advanced expertise in AI and machine learning.
•Potential candidates may face intense competition due to the company's innovative reputation.

Why Labelbox

•Labelbox uniquely integrates data annotation with AI model improvement.
•The company emphasizes a forward-deployed engineering approach, embedding engineers directly with clients.
•Its platform is designed to streamline complex data labeling processes efficiently.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Labelbox

Labelbox

labelbox.com

View company

Labelbox is a data training platform that enables organizations to build and manage high-quality training datasets for machine learning applications. By streamlining the data labeling process, Labelbox empowers teams to accelerate their AI initiatives and improve model performance.