Position: AI trainer (Data/ML)
Company: Master of Code Global
Experience required: 1y
English level: fluent

Master of Code is rapidly expanding as enterprises shift their focus and investment in AI-powered solutions. Master of Code is seeking a talented ChatBot Trainer to analyze, implement and refine user-centric conversational experiences.

**Master of Code Global** is specializing in AI-powered conversational experiences. Founded in 2004, we are a US company with development centers in Ukraine (Cherkasy and Kyiv), Canada (Winnipeg, Toronto, Montreal), and the US (Seattle). For over 5 years, we have been working with Conversational AI and also developing an E-commerce product that’s successful and growing. Master of Code implemented cutting-edge solutions that have been referenced by Facebook and Apple (integration of Apple Pay into Apple Business Chat, Agent to Chatbot bridge for Messenger, etc.)

**Role Summary**
Master of Code is rapidly expanding as enterprises shift their focus and investment in AI-powered solutions. Master of Code is seeking a talented **Bot Trainer** to analyze, implement and refine user-centric conversational experiences. 
You will be expected to review conversational dialogues and data through technical and business metric analyses. You must be detail-oriented, to find discrepancies, bugs, and investigate the root cause of user behaviors. 

**The Ideal Candidate:**
- English level: Advanced;
- You have hands-on experience with text data processing tools, data analysis and data visualization;
- Experience presenting data-driven analysis and thinking strategically when providing guidance;
- Ability to effectively communicate and work across teams from Quality Assurance Engineers, Developers, and Project Managers;
- Proven ability to explain complex issues in clear, non-technical language; you should be comfortable dealing with internal team members and external customers;
- You are interested in conversational experiences such as Facebook Messenger bots, WhatsApp bots, Slack bots, Alexa bots, Telegram bots, Google Assistant, etc.;
- You’ve engaged with conversational solutions and have a passion for tech and AI.

**You’ll be responsible for:**
- Consulting with SME’s and Product Managers on understanding project scope, requirements, and use cases of conversational projects;
- Exploring the chatbot architecture, NLU provider specifics, chatbot channels, 3rd party services, design and data storage specifics of a conversational solution;
- Creating business domain taxonomy and estimating its topic volumes;
- Reviewing designs before shipping to stakeholders for approval to ensure the NLU model performs as expected;
- Reviewing and identifying gaps in conversational dialogue for chat and voice solutions;
- Defining intents and entities within intent models for natural language understanding (NLU);
- Creating and adding representative training data to the intents, and adjusting for high key NLU performance metrics; 
- Conducting targeted investigations into bot performance by reviewing user transcripts and other conversational data; 
- Determining popular user intentions, frequent user requests, drop-off points and gaps in the bot structure;
- Generating reports related to NLU performance;
- Managing and prioritizing the pipeline of NLU tuning updates;
- Providing and actioning recommendations for bot improvements and optimizations, in accordance with KPIs; 

**We understand this is an emerging role in the industry which is why we will consider candidates who may not have direct conversational AI experience but have the baseline skills we can use to further train and support internally. **