You will help improve AI systems that answer postal-service questions. You will judge whether customer questions are realistic and whether AI answers are accurate, complete, useful, and up to date.
The work is done remotely and includes creating practical standards, reviewing AI-generated answers, and writing clear feedback asynchronously.
- Review sample postal questions and identify requests that do not reflect how real customers ask for help.
- Create rubrics for correct answers about mail classes, shipping options, postage, fees, and shipping labels.
- Set evaluation standards for tracking, missing or damaged mail, change of address, forwarding, international mailing, and customs forms.
- Evaluate AI answers against those standards and identify errors, missing information, or outdated guidance.
- Provide clear written feedback.
What It Pays and Takes
This is a short-term, part-time contractor project for professionals who can work remotely from the United States. Previous AI experience is not required, but postal-service expertise is central to the work.
- $30 to $45 per hour.
- 15 to 25 hours per week.
- Remote work open to candidates in the United States.
- Fluent in English and able to communicate clearly in writing.
- Current, former, or retired USPS frontline experience as a postal clerk, sales and service associate, or retail associate.
- At least one year of experience helping customers in person at a post-office counter.
- Working knowledge of mail classes, shipping options, postage, tracking, and change of address services.
- Experience with international mail, customs documents, missing or damaged mail claims, guides, FAQs, or training materials is helpful.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training is the human work behind systems that answer questions and complete tasks. People review examples, write guidance, and rate model responses so AI systems become more accurate and useful; experienced professionals are needed when the work depends on real industry knowledge.
