This is not a traditional job — you'll draw on your hands-on expertise in process simulation, refinery planning, and chemical engineering to evaluate AI-generated content and provide feedback that helps AI better understand real-world process 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 process and refinery engineering workflows.
Review and evaluate AI-generated responses for accuracy and relevance to real-world process simulation and refinery planning practices.
Provide structured written feedback to help improve AI model performance.
Experience and education
2+ years of professional experience in process or refinery engineering, in a role such as Process Engineer, Refinery Engineer, Process Simulation Engineer, LP Modeler, or Refinery Optimization Engineer.
Hands-on experience with one or more of the following: Aspen, Haverly GRTMPS, SuperPro Designer, or AVEVA PI.
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
Turing