Receptionist AI trainer

Job Title:

Receptionist AI Trainer

Job Type: Part-time

Location:

Hybrid Boston, Massachusetts, United States, Suffolk County

Job Summary:

Join our team as a Receptionist AI Trainer and play a critical role in elevating the intelligence and professionalism of next-generation virtual receptionists. You'll design, implement, and optimize AI training methodologies tailored to deliver exceptional guest experiences. Work in a forward-thinking, async environment where written communication is valued and your expertise helps shape the future of workplace automation.

Key Responsibilities:

• Develop and refine training data and conversational flows for receptionist AI systems.
• Collaborate with AI engineers to evaluate and assess the performance of virtual receptionists.
• Conduct qualitative reviews of AI-generated interactions to ensure accuracy, empathy, and professionalism.
• Document, analyze, and report on AI behavior, offering actionable recommendations for improvement.
• Create comprehensive written guides, FAQs, and training resources for internal teams.
• Monitor user feedback and industry trends to identify new opportunities for AI enhancement.
• Support continuous iteration and testing of conversational AI models within a hybrid work structure.

Required Skills and Qualifications:

• Proven experience in receptionist AI trainer roles or related conversational AI training positions.
• Exceptional written communication skills with the ability to convey detailed feedback and documentation.
• Strong analytical skills and keen attention to conversational nuance and customer service standards.
• Experience working within asynchronous, hybrid teams with a self-driven approach.
• Proficiency with AI annotation, data labeling, and conversational scripting tools.
• Familiarity with virtual receptionist workflows and end-user expectations.
• Ability to manage and prioritize multiple tasks in a dynamic, collaborative setting.

Preferred Qualifications:

• Background in hospitality, customer service, or front-desk operations.
• Experience with natural language processing (NLP) tools and conversational AI platforms.
• Demonstrated adaptability to evolving technologies in a fast-paced environment.