Analytical And Physical Chemist AI Training Expert

You will create research-level problems in analytical and physical chemistry to test and improve AI models. Your work will use real laboratory measurements and turn experimental results into accurate, well-documented technical content.

Assignments may involve titrations, spectra, calorimetry, electrochemistry, and kinetics. You will work with raw measurements, apply fitting and analysis methods, and explain your conclusions clearly.

• Write advanced chemistry problems grounded in analytical and physical chemistry.
• Interpret raw laboratory measurements and experimental results.
• Use Python or a similar language for fitting and measurement analysis.
• Write clear, accurate, and well-documented technical explanations.
• Manage your time independently across flexible assignments.

What it pays and takes

This is remote, flexible work for independent contractors. The role has no fixed weekly schedule and is open to candidates in the countries listed for the position.

• $50 per hour.
• Flexible, task-based assignments with no fixed weekly schedule.
• Remote work for candidates in eligible listed countries.
• Fluent in English.
• Hands-on experience with raw laboratory measurements in analytical or physical chemistry.
• Working knowledge of Python or a similar language for fitting and measurement analysis.
• Clear technical writing skills.
• Ability to work independently as an independent contractor.
• Visa sponsorship is not provided.
• Helpful background includes a master's or PhD in chemistry with substantial bench experience.
• Method validation, quality control laboratory work, measurement-uncertainty analysis, or kinetic and thermodynamic model fitting is helpful.
• Public code, a thesis, research papers, or prior data annotation, data labeling, or AI model evaluation work is valued.

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. Contributors create and review examples, such as technical problems and model responses, so AI systems can produce more accurate and useful results.