{"schemaVersion":"jobsearcher.job.v1","id":"02040a4c72ef019f2dffbbd8","url":"https://jobsearcher.com/jobs/02040a4c72ef019f2dffbbd8","canonicalUrl":"https://jobsearcher.com/jobs/02040a4c72ef019f2dffbbd8","title":"Instructor, AI/Machine Learning - NLP & Audio Analytics, Simplilearn (Part time","description":"About: Simplilearn\nSimplilearn 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.\nSimplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.\n\nRequirements\n\nJob Summary\nWe are hiring experienced NLP & Audio Analytics Trainers to deliver live online training sessions with hands-on labs and real-world projects for working professionals.\nKey Responsibilities\nConduct live, instructor-led online classes\nDeliver coding demos, assisted practices, and projects\nAddress learner queries and ensure engagement\n\nRequired SkillsNatural Language Processing\nNLP fundamentals, tools, and libraries (NLTK)\nText preprocessing, feature engineering, and visualization\nText vectorization: One-Hot, BoW, TF-IDF\nSentiment analysis using Naive Bayes\nWord embeddings: Word2Vec, GloVe\nMachine Translation and document search (TF-IDF, BM25)\nSequence models (RNNs) and challenges\nAttention models, Transformers, BERT, GPT\nAudio Analytics & Speech\nAudio processing using Python (Librosa, PyDub)\nAudio visualization and feature extraction\nDigital Signal Processing and MFCCs\nDeep Learning for speech recognition\nTransfer learning for speech models\nAudio synthesis and music generation using GANs\n\nWorking Hours -\nThe total weekly part-time commitment is expected to be 8-12 hours.\nWeekday - 06:30 PM CST - 09:30 PM CST\nWeekend - 09:00 AM CST - 12:00 PM CST\nClass Timings -\nFor Weekend sessions, 6-8 hrs of delivery\n\nFor Weekday sessions, 9-12 hrs of delivery\n1 prep hour/session for the first cohort and 0.5 prep hour per session for the future cohorts\nIf content revamped, prep can be at 1 hour/session for the first batch and 0.5 hour per session for the future batches\n***Feedback communication/General connects Minutes/hours are not billable\n***Prep hour can be billed only for the actual scheduled teaching hours(Induction sessions excluded)\nQualifications\n10+ years of hands-on experience in NLP and/or Audio Analytics\nStrong Python and ML/DL skills\nPrior online/classroom training experience\n\nBenefits\n\nCompensation:\nThe 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.\n#LI- REMOTE","company":"Fullstackacademy","rawCompany":"fullstackacademy","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-15T12:48:58.271Z","occupations":[{"code":"13-1151.00","title":"Training and Development Specialists","slug":"training-and-development-specialists"},{"code":"25-3099.00","title":"Teachers and Instructors, All Other","slug":"teachers-and-instructors-all-other"},{"code":"25-3021.00","title":"Self-Enrichment Teachers","slug":"self-enrichment-teachers"}],"industries":[{"code":"611699","title":"All Other Miscellaneous Schools and Instruction","slug":"all-other-miscellaneous-schools-and-instruction"},{"code":"611430","title":"Professional and Management Development Training","slug":"professional-and-management-development-training"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Instructor, AI/Machine Learning - NLP & Audio Analytics, Simplilearn (Part time","description":"About: Simplilearn\nSimplilearn 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.\nSimplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.\n\nRequirements\n\nJob Summary\nWe are hiring experienced NLP & Audio Analytics Trainers to deliver live online training sessions with hands-on labs and real-world projects for working professionals.\nKey Responsibilities\nConduct live, instructor-led online classes\nDeliver coding demos, assisted practices, and projects\nAddress learner queries and ensure engagement\n\nRequired SkillsNatural Language Processing\nNLP fundamentals, tools, and libraries (NLTK)\nText preprocessing, feature engineering, and visualization\nText vectorization: One-Hot, BoW, TF-IDF\nSentiment analysis using Naive Bayes\nWord embeddings: Word2Vec, GloVe\nMachine Translation and document search (TF-IDF, BM25)\nSequence models (RNNs) and challenges\nAttention models, Transformers, BERT, GPT\nAudio Analytics & Speech\nAudio processing using Python (Librosa, PyDub)\nAudio visualization and feature extraction\nDigital Signal Processing and MFCCs\nDeep Learning for speech recognition\nTransfer learning for speech models\nAudio synthesis and music generation using GANs\n\nWorking Hours -\nThe total weekly part-time commitment is expected to be 8-12 hours.\nWeekday - 06:30 PM CST - 09:30 PM CST\nWeekend - 09:00 AM CST - 12:00 PM CST\nClass Timings -\nFor Weekend sessions, 6-8 hrs of delivery\n\nFor Weekday sessions, 9-12 hrs of delivery\n1 prep hour/session for the first cohort and 0.5 prep hour per session for the future cohorts\nIf content revamped, prep can be at 1 hour/session for the first batch and 0.5 hour per session for the future batches\n***Feedback communication/General connects Minutes/hours are not billable\n***Prep hour can be billed only for the actual scheduled teaching hours(Induction sessions excluded)\nQualifications\n10+ years of hands-on experience in NLP and/or Audio Analytics\nStrong Python and ML/DL skills\nPrior online/classroom training experience\n\nBenefits\n\nCompensation:\nThe 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.\n#LI- REMOTE","datePosted":"2026-08-15T12:48:58.271Z","dateModified":"2026-08-15T12:48:58.271Z","hiringOrganization":{"@type":"Organization","name":"Fullstackacademy","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"02040a4c72ef019f2dffbbd8"},"url":"https://jobsearcher.com/jobs/02040a4c72ef019f2dffbbd8"}}