Customer Service Expert AI Training- Remote

YO HR Consultancy; United States; Remote; USD 28,000 - 55,000; Full time

Job summary

YO HR Consultancy is seeking a Customer Service SME for a remote, hourly contractor role to help build a dataset of natural, human-enacted customer service conversations used to train AI agents.

You will leverage your client communication, issue-resolution, and CRM experience to ensure conversations mirror real-world interactions, with flexible scheduling and opportunities for future roles through our expert network.

Qualifications

• Bachelor's degree (or higher) in a related field or equivalent experience.
• 2+ years of professional Customer Service experience with client communication and CRM.
• 1+ year of experience in AI training or AI-related work.
• Strong knowledge of end-to-end customer support workflows, including escalation and resolution.
• Excellent spoken English at C1+ level (US).

Responsibilities

• Develop AI training content by creating natural, human-enacted conversations across support scenarios.
• Evaluate and rank AI responses to improve accuracy and contextual relevance.
• Test AI models for potential inaccuracies or biases and validate reliability across use cases.

Skills

Bachelor's degree

Customer Service

AI training experience

CS workflows

English proficiency

Education

Bachelor's degree (or higher) in related field

Job description

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible---you choose the hours and days you work, including weekends if desired as long as there is activity.

About this role

Interview language: English

In this hourly, remote contractor role, you will work as a Customer Service Subject Matter Expert (SME) 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 with a fast-growing AI Data Services company delivering training data for many of the world's largest AI companies and foundation-model labs. Important There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

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 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.