You will create technically demanding problems for AI training and evaluation. Your work will use operations research, applied mathematics, optimization, modeling, and practical examples from real operational systems.
The problems should be technically credible, accurate, clear, and well documented. You will work independently, manage your own time, and use practical judgment rather than relying only on theoretical examples.
- Write research-level problems in operations research, applied mathematics, or a related field.
- Develop scenarios using real operational data and modeled systems.
- Create work grounded in areas such as supply chains, scheduling, and physical processes.
- Keep technical writing accurate, clear, and well documented.
- Complete assignments independently and manage your own time.
What it pays and takes
This is flexible independent-contractor work with no fixed weekly schedule. The role is open in the countries listed for this project.
- Pay: $50 per hour.
- Schedule: Flexible, with no fixed weekly schedule.
- Work arrangement: Independent contractor.
- Location: Open to candidates in the countries listed for this role.
- Language: Professional fluency in English.
- Required: Hands-on experience using your own real operational data in Python or a similar language.
- Required: Working knowledge of Python and the ability to write clearly about technical work.
- Required: Ability to work independently and manage your own time.
- Required: Eligibility to work as an independent contractor without visa sponsorship.
Helpful background
A master's or PhD in operations research, applied mathematics, or a related field is helpful but not required. Industry experience in optimization or modeling can also support your work in this role.
Experience deploying optimization or simulation with real data is valuable. Public code, a thesis, technical papers, or prior data annotation, data labeling, or AI and machine learning evaluation experience may also be useful.
- Master's or PhD in operations research, applied mathematics, or a related field.
- Industry experience in optimization or modeling.
- Experience deploying optimization or simulation with real data.
- Public code, a thesis, or papers that demonstrate technical work.
- Prior data annotation, data labeling, or AI and machine learning evaluation experience.
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 work behind systems that learn from examples. Specialists create and review problems, text, code, and other data so AI models can produce more useful and accurate results.
People with strong technical experience are paid to bring real-world judgment and subject knowledge to this process, especially when the work requires credible modeling, optimization, or applied mathematics.