Customer Support Reps - AI Training - Canterbury, UK
Job in
San Antonio, Bexar County, Texas, 78201, USA
Listing for:
prolificacademicltd
Full Time, Apprenticeship/Internship
position
Listed on 2026-11-15
Job specializations:
-
Customer Service/HelpDesk
Job Description & How to Apply Below
Apply practical customer service knowledge to evaluate and improve AI systems that handle support conversations. The work focuses on the quality of model-generated replies, help content, and customer dialogue in routine and challenging situations. Tasks are offered after a brief skills assessment; schedules are flexible, though some assignments require an uninterrupted hour.
Responsibilities- Assess AI support messages for accuracy, usefulness, and appropriate professional tone.
- Write sample tickets and dialogue flows to test how models respond to complex questions and frustrated customers.
- Review automatically produced FAQs and reusable response templates for clarity and technical soundness.
- Mark whether a response conveys suitable empathy and professionalism or sounds overly mechanical.
- Check model outputs against customer support quality standards and identify errors.
- Background in high-volume customer service, technical support, or client success.
- Excellent written English and the ability to adjust language and empathy to suit different customer needs.
- Demonstrated ability to de-escalate challenging cases and give clear troubleshooting steps for technical or billing issues.
- Strong typing speed and confidence finding accurate information across multiple sources.
- Close attention to detail when judging wording, reasoning, and factual accuracy.
- A Pay Pal account for receiving payment.
- Fluency in more than one language, particularly for checking translated or localized support.
- Experience with helpdesk or CRM software, team communication tools, ticketing systems, and internal documentation platforms.
Remote work with flexible hours and paid assignments; listed task rates may reach $30 per hour. Successful candidates complete a short assessment before receiving an invitation to take part.
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