You will help improve AI systems that work with environmental, energy, and geospatial information. The role uses your professional knowledge to create training examples, review AI-generated content, and explain where responses meet or miss professional standards.
- Evaluate AI responses for accuracy and relevance in environmental, GIS, and renewable energy work.
- Create expert training data using your industry knowledge and experience with professional tools.
- Review material about environmental assessment, GIS analysis, and renewable energy siting.
- Write clear feedback that helps measure AI performance against professional standards.
- Work independently and asynchronously on active project assignments.
What it pays and takes
This is an ongoing, project-based contractor opportunity that can fit alongside other commitments.
- Pay: Up to $85 per hour.
- Location: Fully remote and open to candidates in the United States.
- Schedule: Flexible and asynchronous, with a requirement of 20 or more hours per week.
- Work type: Part-time, project-based contract work.
- Experience: At least two years in environmental analysis, GIS, renewable energy siting, or an equivalent energy-industry role.
- Relevant backgrounds include Environmental Analyst, GIS Analyst, Interconnection Specialist, Solar Design Engineer, or a comparable role.
- Tools: Hands-on experience with ArcGIS, Oracle MDM, or Aurora Solar.
- Skills: Strong written communication, close attention to detail, and the ability to work independently with AI research teams.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind modern AI systems. People create examples, review model responses, and give feedback so systems become more accurate and useful; specialized experience matters because it helps assess work against real professional standards.