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Counter Clerk – AI Trainer Job micro1
Counter Clerk – AI Trainer Job
Job Summary:
Join our customer’s team as a Counter Clerk – AI trainer, where you’ll leverage your subject matter expertise in counter sales and customer service to help train cutting-edge AI systems. This unique, remote, part-time role empowers you to influence the future of AI by sharing your real-world knowledge, particularly in managing repairs, rentals, and service orders at the counter.
Key Responsibilities:
- Serve as a Subject Matter Expert (SME) in counter sales, providing deep insights for AI data annotation and training.
- Utilize your experience handling in-person orders for repairs, rentals, and services to simulate real-world customer interactions.
- Describe available service options clearly and effectively within training scenarios.
- Compute and communicate costs, as well as process mock payment procedures for AI learning purposes.
- Provide detailed written and verbal feedback to improve AI understanding of customer service workflows.
- Collaborate with other trainers, developers, and QA specialists to ensure AI models are robust and accurate.
- Identify gaps in AI performance and contribute actionable data for continuous improvement.
Required Skills and Qualifications:
- Demonstrated experience as a counter clerk or in a front-line customer service environment.
- Strong written and verbal communication skills with a keen attention to detail.
- Proven ability to receive, process, and accurately document orders for repairs, rentals, and service requests.
- Experience explaining service options and closing transactions, including cost computation and payment acceptance.
- Comfort working remotely and participating in digital collaboration platforms.
- Interest in technology, AI systems, and data-driven processes.
- High level of reliability, initiative, and a customer-focused mindset.
Preferred Qualifications:
- Previous experience training others or working with AI/ML projects.
- Familiarity with digital tools for annotation, workflow documentation, or customer management systems.
- Background in process improvement or quality assurance in a service environment.
How to Apply
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