[Hiring] Customer Service Expert @Xperteez Technology

Role Description

In this hourly, remote contractor role, you will work as a Customer Service Subject Matter Expert to support the creation of a custom dataset of natural, human-enacted customer service conversations used to train and improve speech-to-speech AI agents. You will participate in realistic customer service scenarios, applying your professional experience in:

• Client communication
• Issue resolution
• Support workflows
• Customer relationship management

Your contributions will help AI systems learn to handle customer interactions more naturally, accurately, and effectively.

Qualifications

• Bachelor’s degree (or higher) in Business Administration, Communications, Marketing, Management, or a related field (or equivalent professional experience).
• 2+ years of professional Customer Service (call center) experience, with demonstrated expertise in client communication, issue resolution, support workflows, and customer relationship management.
• 1+ year of experience in AI training, such as data annotation, AI evaluation, model training, response evaluation, or similar AI-related work.
• Strong knowledge of end-to-end customer support workflows, including issue identification, troubleshooting, escalation, follow-up, and resolution.
• Excellent spoken English C1+ (US only), with clear and fluent verbal communication.
• Hands-on experience managing customer inquiries, complaints, service requests, and escalations across a range of customer scenarios.
• Ability to adapt communication style, tone, and approach based on the customer’s needs, situation, and level of concern.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor environment.

Requirements

• Conflict Resolution
• Voice Support
• Escalation Management
• Customer Service
• Call Center
• Issue Resolution
• AI Training
• Complaint Handling

Key Responsibilities

• Develop AI Training Content: Create natural, human-enacted customer service conversations across realistic support scenarios.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.