Handshake is looking for experienced renewable energy and microgrid engineering professionals to support AI research through flexible, part-time contract work.
This is not a traditional job — you'll draw on your hands-on expertise in renewable energy modeling, microgrid design, and asset performance analysis to evaluate AI-generated content and provide feedback that helps AI better understand real-world renewable energy engineering workflows.
This is an ongoing, project-based opportunity you can take on alongside your current work.
Complete tasks at your own pace with no set schedule or minimum hour requirement.
Responsibilities
Use your domain expertise to create expert-level training questions and scenarios based on real renewable energy and microgrid engineering workflows.
Review and evaluate AI-generated responses for accuracy and relevance to real-world renewable energy modeling and design practices.
Provide structured written feedback to help improve AI model performance.
Experience and education
2+ years of professional experience in renewable energy engineering, microgrid design, or asset performance, in a role such as Microgrid Engineer, Renewable Energy Engineer, Solar Engineer, or Digital Twin Engineer.
Hands-on experience with one or more of the following: HOMER Pro, SAM, or GE Digital Twin.
Strong written communication skills, attention to detail, and the ability to work independently in a remote, asynchronous environment.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
Hiring companyHandshake AI
