The work
You will help improve AI systems by creating expert training examples and reviewing AI-generated environmental and geospatial content. Your feedback will focus on accuracy, relevance, and alignment with real environmental and energy workflows.
The work is project-based, ongoing, remote, and asynchronous. You will use independent professional judgment while supporting AI research teams.
- Create training data based on environmental and energy-industry workflows.
- Review AI-generated content for accuracy, relevance, and sound environmental and geospatial practices.
- Give clear written feedback on environmental assessment, GIS analysis, and renewable energy siting.
- Apply professional judgment independently during active projects.
What it pays and takes
The work does require practical experience in environmental analysis, GIS, renewable energy siting, or a related energy-industry role.
- Pay: Up to $85 per hour.
- Location: Open to candidates in the United States; the work is remote.
- Schedule: Flexible and asynchronous, with no minimum hour requirement; typical participation is about 5 to 20 hours per week during active projects.
- Language: Fluent in English.
- Experience: At least two years of professional experience in environmental analysis, GIS, renewable energy siting, or an equivalent energy-industry role.
- Relevant roles include Environmental Analyst, GIS Analyst, Interconnection Specialist, Solar Design Engineer, or a comparable position.
- Tools: Hands-on experience with ArcGIS, Oracle MDM, or Aurora Solar.
- Skills: Strong written communication, careful attention to detail, and the ability to work independently.
- Helpful background includes environmental assessment, geospatial data practices, renewable energy workflows, and solar or interconnection analysis.