Customer Service Representative Specialist - Freelance AI Trainer Project
About The Position
Are you a customer service expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of communication, support, and user engagement. With high‑quality training data, tomorrow’s AI can democratize customer support, resolve issues faster, and personalize service experiences around the globe. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for Customer Service Representative specialists who live and breathe customer communication, problem-solving, CRM systems, conflict de-escalation, call center operations, support ticketing systems, and omnichannel communication. You’ll challenge advanced language models on topics like live chat resolution, product troubleshooting, billing inquiries, tone calibration, refund handling, technical walk-throughs, and upsell/cross-sell interactions—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on realistic support scenarios and customer engagement tasks, verify accuracy and professionalism, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's or associate degree in business, communications, or a related field is ideal; prior experience in customer support, helpdesk platforms, or support QA signal fit. Clear, metacognitive communication—“showing your work”—is essential. Ready to turn your customer service expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.
Requirements
- Customer communication
- Problem-solving
- CRM systems
- Conflict de-escalation
- Call center operations
- Support ticketing systems
- Omnichannel communication
- Clear, metacognitive communication
Nice To Haves
- Bachelor's or associate degree in business, communications, or a related field
- Prior experience in customer support, helpdesk platforms, or support QA
Responsibilities
- Converse with the model on realistic support scenarios and customer engagement tasks
- Verify accuracy and professionalism
- Capture reproducible error traces
- Suggest improvements to our prompt engineering and evaluation metrics
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What This Job Offers
Career Level
Mid Level
Education Level
Associate degree
Number of Employees
251-500 employees
