AI Data Labeling & Quality Specialist

The ideal candidate will help improve our AI models by labelling ground-truth data, evaluating AI outputs, and providing structured feedback to enhance multilingual performance—in English and Spanish. This includes both a voice agent and tools for human sales agents, designed to deliver highly personalized customer journeys.

bilingual AI Data Labelling & Quality Specialist
3-6 Months possibility of conversion
Fort mill, SC (Remote role)
 
About the role:

• We are seeking a bilingual AI Data Labelling & Quality Specialist to support the development of an AI-assisted sales system for our Home Services business.
• This includes both a voice agent and tools for human sales agents, designed to deliver highly personalized customer journeys.
• The ideal candidate will help improve our AI models by labelling ground-truth data, evaluating AI outputs, and providing structured feedback to enhance multilingual performance—in English and Spanish.

 
Responsibilities

• Review, label, and categorize customer interaction data (audio and text) to create high-quality training datasets.
• Evaluate AI/LLM outputs for accuracy, clarity, tone, and compliance with internal guidelines.
• Provide detailed feedback to improve AI behaviors, dialog flows, and multilingual consistency.
• Identify patterns, edge cases, and opportunities to increase the effectiveness of English and Spanish customer experiences.
• Ensure data quality, confidentiality, and adherence to annotation standards.

 
Qualifications

• Fluent in English and Spanish (spoken and written) with strong comprehension and communication skills.
• Prior experience in data labelling, annotation, linguistics, QA, customer support, or AI training.
• Familiarity with conversational AI, LLMs, or voice agents is a plus.
• Strong attention to detail and ability to follow structured guidelines.
• Comfortable working with productivity tools and web-based annotation platforms.
• Ability to work independently, meet deadlines, and adapt to evolving requirements.