Direct message the job poster from Advanced Resource Managers
London or Portsmouth – Hybrid working - 2-3 days a week on site
Permanent – Full Time
Overview:
We are seeking an experienced Conversational AI Trainer to design, develop, and deliver comprehensive training programs focused on conversational AI and natural language processing (NLP). The ideal candidate has hands-on experience in building, deploying, and optimizing conversational AI systems and excels in explaining complex concepts to diverse learners. This role involves crafting engaging, interactive learning experiences for participants, conducting hands-on workshops, and continuously updating training content to reflect new advancements. You will play a pivotal role in upskilling professionals and teams in the fast-evolving field of conversational AI.
Responsibilities:
1. Develop Training Programs and Materials
* Design training modules on conversational AI, covering foundational NLP, chatbot design, dialog management, language models, and voice assistants.
* Create presentations, hands-on exercises, real-world case studies, and assessments that cater to various proficiency levels.
* Conduct in-person and virtual training sessions, ensuring an engaging and interactive learning environment.
* Facilitate hands-on workshops that allow participants to design, build, and deploy conversational agents using popular platforms (e.g., Dialogflow, Rasa, Amazon Lex).
* Encourage active participation and provide real-time feedback and guidance.
1. Customize Content for Client and Industry Needs
* Collaborate with clients to understand their specific training needs, adapting content to suit industry requirements (e.g., e-commerce, healthcare, customer service).
* Ensure training covers industry best practices, compliance standards, and cutting-edge conversational AI techniques.
2. Stay Updated on Trends and Tools in Conversational AI
* Continuously research and integrate the latest advances in conversational AI, NLP, and machine learning.
* Incorporate advancements in large language models, multi-turn dialog systems, and sentiment analysis into training materials.
3. Evaluate Training Effectiveness and Learner Progress
* Develop assessment tools and gather feedback to measure participants' understanding, engagement, and overall training effectiveness.
* Refine training content and methods based on participant feedback and industry trends.
Qualifications:
Education: Bachelor’s or master’s degree in computer science, Linguistics, Artificial Intelligence, or related fields.
Experience: Experience in AI or NLP, with conversational AI development.
Training Experience: Proven track record of delivering technical training on conversational AI topics to diverse audiences.
Technical Skills:
* Strong knowledge of conversational AI platforms (e.g., Dialogflow, Microsoft Bot Framework, Rasa, Amazon Lex).
* Proficiency with NLP tools and libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
* Practical experience with Python, RESTful APIs, and data preparation techniques for training dialog models.
Communication Skills: Exceptional communication and presentation skills, with the ability to make complex AI concepts accessible and engaging.
Problem-Solving: Ability to address learner questions effectively and offer solutions during hands-on activities.
Adaptability: Skilled in adapting training content and style for different industries, participant experience levels, and learning environments.
Preferred Qualifications:
Certifications: Relevant AI/ML certifications, such as Google’s Professional ML Engineer, AWS Machine Learning, or specialized NLP credentials.
Publications and Community Engagement: Contributions to AI publications, conference talks, or participation in AI communities.
Languages: Proficiency in additional languages, especially those relevant to multi-lingual NLP applications.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology and Training
Industries
IT System Training and Support
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