职位描述
Energy research contribution
You'll draw on practical knowledge of maintenance planning, assets and grid operations to create expert training data and assess AI responses. Your feedback helps AI better understand maintenance and reliability workflows.
This is ongoing, hourly contract work organised around individual projects rather than a traditional job. It is designed to fit alongside other commitments, and previous AI experience is not required.
What the work involves
- Create training material grounded in professional energy experience and the tools used in everyday practice.
- Judge whether AI generated responses are accurate and relevant to maintenance and reliability workflows.
- Explain findings clearly in writing, paying close attention to detail.
Relevant experience and tools
At least 2 years of professional experience in asset management, maintenance reliability, or grid operations is required. Relevant roles include:
- Work as a maintenance Planner or Reliability Engineer.
- Work as a outage Coordinator or Distribution Ops Analyst.
- Equivalent positions elsewhere in the energy industry.
Practical experience with at least one of IBM Maximo, Oracle OMS, AVEVA PI or ArcGIS is needed. Work independently and communicate effectively with AI researchers collaborating asynchronously.
Rate, hours and matching
Compensation is up to $85 per hour, depending on the project. The work is fully remote and part time, with a flexible asynchronous schedule and no minimum hours; active contributors typically spend about 5 to 20 hours per week.
Assignments depend on current project requirements. Candidates may also be considered for future projects as they become available.
Getting started
Create an account, complete identity verification and onboard into a relevant project before beginning paid work.