Customer Service (Call Center) Expert | Remote - Contract

Xperteez Technology; United States; A distancia; USD 34.000 - 55.000; A tiempo parcial

Descripción de la vacante

Xperteez Technology Pvt Ltd in the United States is seeking a Customer Service Subject Matter Expert to work as an hourly remote contractor. You will help create a dataset of natural, human-enacted customer service conversations used to train speech-to-speech AI agents, applying your experience in client communication, issue resolution, and CRM.

The role emphasizes professional English, escalation management, and adapting tone to reflect real-world scenarios while following project guidelines to

Formación

• Bachelor’s degree or higher or equivalent professional experience.
• 2+ years of professional Customer Service (call center) experience with client communication, issue resolution, and CRM.
• 1+ year of experience in AI training, such as data annotation, AI evaluation, model training, or similar AI-related work.

Responsabilidades

• 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.

Conocimientos

Conflict Resolution

Voice Support

English

Escalation Management

Customer Service

Call Center

Issue Resolution

AI Training

Complaint Handling

Educación

Bachelor’s degree or higher

Descripción del empleo

Type: contract

Location: remote

About this role

Interview language: English

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, and customer relationship management to ensure conversations accurately reflect real-world interactions. You will demonstrate natural and professional communication, active listening, problem-solving, empathy, and appropriate issue-resolution techniques while following project-specific scenarios, instructions, and quality guidelines. Your contributions will help AI systems learn to handle customer interactions more naturally, accurately, and effectively.

This role is a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs.

Skills & technologies

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

Your profile

• 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.

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.