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

About this role

About: Simplilearn
Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.
Requirements
Job Summary
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.
Key Responsibilities

Conduct live, instructor-led online classes

Deliver coding demos, assisted practices, and projects

Address learner queries and ensure engagement

Required Skills
Natural Language Processing

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 Analytics & Speech

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)
Qualifications

10+ years of hands-on experience in NLP and/or Audio Analytics

Strong Python and ML/DL skills

Prior online/classroom training experience

Benefits

Compensation:
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.
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Originally posted on Himalayas