Postman API Testing Specialist (English)

You will create realistic computer-based Postman workflows that help train AI systems to understand API testing and developer-tool use. The work includes preparing test materials, recording your process, and checking each workflow for quality and safety.

• Design Postman tasks involving API requests, headers, parameters, authentication, environments, collections, variables, test scripts, and response checks.
• Create workflows for documentation, mock APIs, import and export processes, and troubleshooting.
• Prepare test APIs, sample payloads, references, and safe credentials or tokens.
• Record yourself completing each workflow without exposing sensitive information.
• Review documentation and recordings for completeness, clarity, realism, and safety.

This is a remote, part-time contractor opportunity listed as entry level. You must have hands-on Postman experience and be able to work carefully and independently with technical information.

• Pay: $20 per hour.
• Time: 20 or more hours per week.
• Work 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 create reproducible technical tasks, use developer tools and API documentation, prepare a testing environment, and handle credentials securely.
• Required: Attention to detail, reliable self-directed work, and comfort with computer-based screen recording.
• Helpful experience: QA, backend development, API testing, DevOps, coding, technical support, documentation, or operations.

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

AI training work is the human side of building artificial intelligence. People prepare and review examples, such as software workflows, so AI systems can better understand and respond to real tasks; experienced contributors are paid for the technical knowledge and careful judgment they bring.