Customer Service Expert – AI Training

Employment Type: Contractor
Work Arrangement: Remote
Interview: Required
Working Language: English

Eligible Locations: Bangladesh, Belize, India, Indonesia, Jamaica, Malaysia, Nepal, Pakistan, South Africa, Sri Lanka, the Philippines, the United States, and Trinidad and Tobago.

Compensation

Hourly Rate: Up to $30 per hour

Compensation is hourly and subject to approved work and applicable project requirements.

About the Role

We are seeking experienced Customer Service Experts to contribute to the development and evaluation of speech-to-speech AI systems.

In this remote contract role, you will use your professional customer service experience to create and evaluate realistic, natural customer service conversations. Your work will help AI systems improve their ability to communicate clearly, understand customer needs, resolve issues, and respond appropriately in real-world support scenarios.

You will apply your expertise in customer communication, troubleshooting, complaint handling, escalation management, and customer relationship management while following project-specific instructions and quality standards.

Project availability: There is no immediate project assignment for this role. Qualified candidates may be contacted when relevant opportunities become available through the expert network.

Key Responsibilities

• Create natural, realistic customer service conversations based on real-world support scenarios.

• Demonstrate professional communication, active listening, empathy, and effective problem-solving.

• Evaluate and rank AI-generated responses for accuracy, fluency, contextual relevance, and appropriateness.

• Assess whether AI responses address customer concerns and follow appropriate support workflows.

• Test AI systems for potential inaccuracies, inconsistencies, and biases across different customer scenarios.

• Apply appropriate troubleshooting, escalation, follow-up, and resolution techniques.

• Adapt communication style and tone to different customer needs and levels of concern.

• Follow project-specific scenarios, instructions, and quality guidelines.

• Contribute feedback that improves the quality and reliability of AI-generated customer interactions.

Required Qualifications

• Bachelor's degree or higher in Business Administration, Communications, Marketing, Management, or a related field, or equivalent professional experience.

• At least 2 years of professional customer service experience.

• At least 1 year of experience in AI training or related work, such as data annotation, AI evaluation, model training, or response evaluation.

• Strong understanding of end-to-end customer support workflows, including issue identification, troubleshooting, escalation, follow-up, and resolution.

• Experience managing customer inquiries, complaints, service requests, and escalations.

• Excellent spoken English proficiency.

• Ability to communicate clearly, naturally, and professionally in spoken conversations.

• Strong active listening, empathy, conflict resolution, and problem-solving skills.

• Ability to adapt communication style to different customer situations.

• Reliable, self-directed, and able to maintain consistent quality in a remote contractor environment.

Key Skills

• Customer Service

• Customer Support

• English Communication

• Call Center Operations

• Voice Support

• Customer Relationship Management

• Escalation Management

• Issue Resolution

• Complaint Handling

• Conflict Resolution

• Active Listening

• Troubleshooting

• AI Training

• AI Response Evaluation

• Data Annotation

• Model Evaluation

• Quality Assurance

Work Environment

This is a remote, hourly contract opportunity with flexible scheduling, subject to project requirements and availability.

Work may involve participating in simulated customer interactions, creating conversational training content, evaluating AI responses, and submitting structured feedback.

Important Project Information

There is currently no immediate project assignment. Qualified candidates may be considered for future projects based on their expertise, location, language proficiency, and the requirements of available assignments.