You will create research-level problems that test and improve AI models. The work uses practical chemical engineering judgment, real plant or pilot data, and clear technical writing.
You will compare operational results with design expectations and build technically meaningful scenarios around process equipment and plant systems.
- Write chemical engineering problems based on real process and chemical plant work.
- Use plant or pilot data to frame scenarios and reconcile results against design expectations.
- Work with performance and guarantee-test contexts involving columns, reactors, membranes, and utility systems.
- Review technical work for accuracy, clarity, and complete documentation.
- Manage your workload independently across flexible, task-based assignments.
What it pays and takes
English fluency and the ability to work independently are required.
- $50 per hour.
- Contractor role with flexible, task-based assignments.
- Open to candidates in the countries listed for this role.
- Fluent in English.
- Hands-on experience with real plant or pilot data, not only process-simulation design.
- Working knowledge of Python or a similar language for working with plant data.
- Strong chemical engineering technical writing skills.
- Independent time-management skills.
- Able to work as an independent contractor without visa sponsorship.
- Three or more years operating plants or pilot plants is helpful.
- A bachelor's, master's, or doctoral degree in chemical engineering is helpful.
- Experience with performance or guarantee tests, data reconciliation, or troubleshooting reports is helpful.
- Public code, a thesis, technical papers, or prior data annotation, data labeling, or AI and machine-learning evaluation experience can support your application.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work uses examples and human reviews to help artificial intelligence systems produce better results. Experienced professionals are needed for specialist tasks because their judgment helps make technical model outputs more accurate and useful.