Chatbot Natural Language Processing (NLP) Trainer

Curating, organizing and annotating datasets for training and testing chatbot responses, ensuring that the chatbot can accurately recognize user intents, entities and contextual nuances
Identifying gaps or errors in the chatbots current patterns, providing insights to enhance the NLP models effectiveness
Evaluating the chatbots performance through testing and user feedback, making data-driven recommendations to refine its understanding and improve its response accuracy
Working closely with front-end engineers to provide feedback on model performance and assisting in iterating on the NLP model training pipeline
Performing quality checks and different types of testing (e.g. k-fold, blind etc.) to test the models intent classification accuracy

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1+ years of working with NLP models and/or chatbots
1+ years of knowledge of AI/chatbot development landscape, tools and other frameworks
1+ years of training or improving chatbot training data and using various methods of testing to evaluate intent classification accuracy
1+ years of leveraging of conversational AI best practices
1+ years of experience in CICD, Git, unit-testing and source code management
1+ years of working in an Agile environment, with knowledge in DevOps approaches, end-to-end software development processes and business requirements

Experience with IBM Watson Assistant
Experience with IBM Voice gateway and / or IBM Discovery is a plus
Knowledge of automated speech recognition, including SSML tagging for TTS

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.