You will create realistic computer-based Postman workflows that help train AI models to understand API testing and developer-tool use. You will build each task, record yourself completing it, and review the materials for clarity, completeness, realism, and safety.
- Design tasks covering API requests, headers, parameters, authentication, environments, collections, variables, and test scripts.
- Include response checks, documentation, mock APIs, import and export workflows, and troubleshooting scenarios.
- Prepare test APIs, sample payloads, reference materials, and safe credentials or tokens.
- Record your screen while completing each workflow and check that recordings do not reveal sensitive information.
- Review documentation and recordings to confirm they are complete, clear, realistic, and safe.
What It Pays and Takes
This is a remote, hourly contractor role listed as entry level. Hands-on Postman experience is required, along with the ability to create reproducible technical tasks and work carefully without close supervision.
- Pay: Up to $20 per hour.
- Time: 20 or more hours per week.
- Location: Remote, open to candidates in Bangladesh, India, and Pakistan.
- Language: English proficiency at B2 level or higher.
- Required: Experience with Postman API requests, testing, collections, environments, variables, authentication, documentation, or debugging.
- Required: Understanding of HTTP methods, URLs, headers, query parameters, request bodies, status codes, authentication, and response validation.
- Required: Ability to use developer tools and API documentation, prepare a suitable testing environment, and handle credentials securely.
- Required: Careful attention to detail, reliable self-directed work, and comfort with computer-based screen recording.
- Helpful background: QA, backend development, API testing, DevOps, coding, technical support, documentation, or operations.
How It Works
Apply on OpenTrain with your resume and then complete the application on the hiring site.
About AI Training Work
AI training work uses examples and reviews created by people to help artificial intelligence systems learn. Specialists are paid for applying practical knowledge, checking details, and creating reliable examples that models can learn from.
