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October 28, 2026

Customer Service AI Training Expert

OpenTrain AI
USA and Canada 
Part-time
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This job is curated by UX Remote Talent from external sources. We are not affiliated with the employer.

OpenTrain AI is hiring a Customer Service AI Training Expert to help improve the performance of conversational artificial intelligence systems through realistic customer support simulations and human feedback.

This remote contract position combines professional customer service experience with AI training and evaluation. You'll create natural customer conversations, assess AI-generated responses, and help identify areas where voice-based AI assistants can become more accurate, reliable, and effective.

The work focuses on speech-to-speech AI technology, which enables artificial intelligence systems to process spoken language and respond through voice.

You'll recreate common customer support situations, including product inquiries, complaints, technical troubleshooting, and service escalations. You'll also evaluate how AI systems respond to different customer needs, paying particular attention to communication quality, accuracy, empathy, and problem resolution.

This opportunity is designed for professionals with previous experience in customer service or call center environments who also have a background in AI training, data annotation, or model evaluation.

Key Responsibilities

  • Develop realistic customer service conversations to support the training of conversational AI systems.
  • Simulate customer interactions involving inquiries, complaints, technical issues, and service requests.
  • Recreate customer support workflows, including problem identification, troubleshooting, escalation, follow-up, and resolution.
  • Review AI-generated responses for factual accuracy, clarity, relevance, and conversational quality.
  • Compare and rank AI responses according to established evaluation guidelines.
  • Identify inaccurate information, potential bias, and inconsistent behavior in AI-generated conversations.
  • Test AI models across different customer support scenarios to assess reliability and performance.
  • Apply professional customer service techniques, including active listening, empathy, and effective communication.
  • Adjust conversational tone and communication style to reflect different customer situations.
  • Follow project instructions and quality standards when creating training examples and evaluating model outputs.
  • Provide structured feedback that contributes to improving AI response quality.

Requirements

Professional Experience

  • Minimum of 2 years of professional experience in customer service, call center operations, or a similar customer-facing position.
  • At least 1 year of experience in AI training, data annotation, AI model evaluation, or response assessment.
  • Experience communicating with customers, resolving service issues, and managing support requests.
  • Familiarity with customer support processes, including troubleshooting and escalation procedures.
  • Understanding of customer relationship management and professional service standards.

Education

Candidates should have a bachelor's degree or higher in a relevant field, such as:

  • Business Administration
  • Communications
  • Marketing
  • Management
  • A related discipline

Equivalent professional experience may be accepted instead of a formal degree.

Skills & Competencies

  • Strong verbal communication and active listening abilities.
  • Excellent problem-solving skills and attention to detail.
  • Ability to assess AI-generated content objectively using defined evaluation criteria.
  • Understanding of how communication quality affects customer satisfaction.
  • Confidence handling challenging customer interactions and escalated concerns.
  • Ability to recognize inaccurate, irrelevant, or potentially biased AI responses.
  • Strong interpersonal skills and empathy.
  • Ability to adapt communication styles to different customer needs.
  • Good organizational skills and the ability to manage assignments independently.
  • Reliability and self-motivation when working remotely.

Language Requirement: Fluent spoken English is required. Candidates applying for US openings must demonstrate C1-level English proficiency or higher.

Salary & Working Conditions

Hourly Rate: $30 USD

Employment Type: Independent Contractor

Schedule: Part-Time

Minimum Weekly Commitment: 20+ hours

Work Arrangement: Fully Remote

Eligible Countries: United States and Canada

At the advertised hourly rate, 20 paid hours per week would equal approximately $600 before taxes. Actual earnings depend on hours worked and the terms of the contract.

Who Should Apply?

This position may be particularly suitable for:

  • Customer service representatives with previous AI training experience.
  • Call center professionals familiar with data annotation or AI evaluation.
  • Customer support specialists who have assessed chatbot or conversational AI responses.
  • AI trainers with practical knowledge of customer communication and service workflows.
  • Professionals interested in contributing to the development of voice-based AI assistants.

The ideal candidate combines strong customer service judgment with the ability to evaluate artificial intelligence systems systematically.

Recommended Learning: Google AI Essentials on Coursera

As artificial intelligence becomes increasingly integrated into customer service, understanding how AI-powered tools work can be a valuable skill for professionals looking to expand their career opportunities.

Google AI Essentials, available on Coursera, introduces practical generative AI concepts, effective prompting techniques, and responsible AI practices. It's a useful starting point for customer service professionals interested in understanding how artificial intelligence can support everyday workflows.

For those exploring opportunities like this Customer Service AI Training Expert role, the course provides complementary foundational knowledge alongside the customer service and AI evaluation experience required by OpenTrain AI.

Explore Google AI Essentials on Coursera

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