Chemical Engineering Problems Writer (Contractor)

OpenTrain AI

The work

You will create research-level problems that test and train AI models. The work uses practical chemical engineering judgment, real plant or pilot data, technical writing, and structured evaluation of engineering scenarios.

You will compare operational results with design expectations and develop technically meaningful scenarios involving 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 with design expectations.
• Work with performance and guarantee-test contexts involving columns, reactors, membranes, and utility systems.
• Keep technical work accurate, clear, and well documented.
• Evaluate engineering scenarios and manage task-based assignments independently.

What it pays and takes

This is a contractor role for an experienced chemical engineering practitioner.

• Pay: $50 per hour.
• Location: Open to candidates in the countries listed for this role.
• Language: Professional fluency in English.
• Required: Hands-on experience with real plant or pilot data, not only process-simulation design.
• Required: Working knowledge of Python or a similar language for working with plant data.
• Required: Strong technical writing in chemical engineering and independent time management.
• Required: Eligibility to work as an independent contractor without visa sponsorship.
• Helpful: Three or more years operating plants or pilot plants.
• Helpful: A bachelor's, master's, or doctoral degree in chemical engineering.
• Helpful: Experience with performance or guarantee tests, data reconciliation, or troubleshooting reports.
• Helpful: Public code, a thesis, technical papers, or previous data annotation, data labeling, AI, or machine-learning evaluation work.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work is the human side of building artificial intelligence. People create examples, review model outputs, and apply expert judgment so AI systems learn to produce more useful and accurate results.

Requirements

• Languages: English

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