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AI Trainer Jobs is seeking a Customer Service SME to support a data-generation project for training AI agents. This hourly, remote contractor role focuses on crafting natural, human-enacted conversations and evaluating AI responses to improve accuracy and fluency.
Ideal candidates have 2+ years in customer service, 1+ year in AI training, and strong English communication. Open to candidates in Canada, South Africa, and the Philippines; interviews are in English.
Pay: up to $23/hour
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 SME Careers, 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.
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.
Skills: Customer Service, Issue Resolution, Complaint Handling, Conflict Resolution, Escalation Management, Voice Support, Call Center, English, AI Training
Open to candidates in: Canada, South Africa, The Philippines
Interview language: English