GenAI Tuning Analyst responsible for AI performance in Contact Center. Collaborating across teams to optimize AI deployment and customer interaction quality.
Responsibilities
Lead Reinforcement Learning from Human Feedback (RLHF) cycles.
Review AI-generated outputs and 'grade' them based on accuracy, empathy, and adherence to compliance protocols.
Define and track AI-specific KPIs, such as Hallucination Rate, Refusal Rate, and Intent Accuracy, alongside traditional metrics like First Contact Resolution (FCR).
Implement and monitor safety filters to ensure the AI remains neutral, avoids prohibited topics, and protects PII (Personally Identifiable Information).
Partner with Subject Matter Experts (SMEs) in Legal, Compliance, and Operations to translate business policy into technical model constraints.
Iterate on complex system prompts to guide LLM behavior for specific contact center use cases (e.g., automated summaries, live chat responses, and knowledge base retrieval).
Identify and curate high-quality 'golden datasets' from historical call transcripts and chat logs to be used for fine-tuning and few-shot prompting.
Requirements
2+ years in AI/NLP, Data Analysis, high-level Contact Center Operations.
Analyzing Intent Accuracy to identify gaps in the AI’s natural language understanding (NLU/NLP).
UAT Support: Experience assisting in User Acceptance Testing for new AI features or tool rollouts.
Secondary experience in Quality Assurance is a plus.
Proficiency in prompt engineering techniques (Chain-of-Thought, Few-Shot, Zero Shot).
Basic understanding of LLM architectures (GPT-4, Claude, Llama).
Exceptional written and verbal communication skills with an obsession over tone, grammar, and brand consistency.
Ability to act as a bridge between technical teams and frontline operations.
Moderate customer meetings to align with company direction on our AI tools.
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