Instructor, AI/Machine Learning - NLP & Audio Analytics, Simplilearn (Part time

We are hiring experienced NLP & Audio Analytics Trainers to deliver live online training sessions with hands-on labs and real-world projects for working professionals.

- Conduct live, instructor-led online classes - Deliver coding demos, assisted practices, and projects - Address learner queries and ensure engagement

- NLP fundamentals, tools, and libraries (NLTK) - Text preprocessing, feature engineering, and visualization - Text vectorization: One-Hot, BoW, TF-IDF - Sentiment analysis using Naive Bayes - Word embeddings: Word2Vec, GloVe - Machine Translation and document search (TF-IDF, BM25) - Sequence models (RNNs) and challenges - Attention models, Transformers, BERT, GPT

- Audio processing using Python (Librosa, PyDub) - Audio visualization and feature extraction - Digital Signal Processing and MFCCs - Deep Learning for speech recognition - Transfer learning for speech models - Audio synthesis and music generation using GANs

Working Hours - The total weekly part-time commitment is expected to be 8-12 hours. Weekday - 06:30 PM CST - 09:30 PM CST Weekend - 09:00 AM CST - 12:00 PM CST

Class Timings - For Weekend sessions, 6-8 hrs of delivery - For Weekday sessions, 9-12 hrs of delivery - 1 prep hour/session for the first cohort and 0.5 prep hour per session for the future cohorts - If content revamped, prep can be at 1 hour/session for the first batch and 0.5 hour per session for the future batches ***Feedback communication/General connects Minutes/hours are not billable ***Prep hour can be billed only for the actual scheduled teaching hours(Induction sessions excluded)

- 10+ years of hands-on experience in NLP and/or Audio Analytics - Strong Python and ML/DL skills - Prior online/classroom training experience

The expected compensation for this role for candidates from United States is $50 -$55 per hour for candidates who fulfill the qualifications for the role. Candidates whose qualifications are above those listed are encouraged to apply as well. All final offers to candidates will be based on that candidate's unique experience and skillset, and not all candidates will qualify for the top of the salary range.

#LI- REMOTE