Instructor, AI/Machine Learning - NLP & Audio Analytics, Simplilearn at Fullstack Academy | Torre
Instructor, AI/Machine Learning - NLP & Audio Analytics, Simplilearn
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Instructor, AI/Machine Learning - NLP & Audio Analytics, Simplilearn

You'll empower global professionals by delivering cutting-edge NLP and Audio Analytics training.
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Part-time

Legal agreement: Employment

Compensation
USD50 - 55/hour
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Remote (for United States residents)
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Emma of Torre.ai
about 1 month ago

Requirements and responsibilities


About: SimplilearnSimplilearn 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.Job SummaryWe 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 ResponsibilitiesConduct live, instructor-led online classesDeliver coding demos, assisted practices, and projectsAddress learner queries and ensure engagementRequired SkillsNatural Language ProcessingNLP fundamentals, tools, and libraries (NLTK)Text preprocessing, feature engineering, and visualizationText vectorization: One-Hot, BoW, TF-IDFSentiment analysis using Naive BayesWord embeddings: Word2Vec, GloVeMachine Translation and document search (TF-IDF, BM25)Sequence models (RNNs) and challengesAttention models, Transformers, BERT, GPTAudio Analytics & SpeechAudio processing using Python (Librosa, PyDub)Audio visualization and feature extractionDigital Signal Processing and MFCCsDeep Learning for speech recognitionTransfer learning for speech modelsAudio synthesis and music generation using GANs Working HoursThe total weekly part-time commitment is expected to be 8-12 hours.Weekday - 06:30 PM CST - 09:30 PM CSTWeekend - 09:00 AM CST - 12:00 PM CSTClass 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)Qualifications10+ years of hands-on experience in NLP and/or Audio AnalyticsStrong Python and ML/DL skillsPrior online/classroom training experienceBenefitsCompensation: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
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