NLP & Audio Analytics Trainers

Simplilearn Americas, Inc.
United States
4 days ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$104,000.0 - $114,400.0
Working hours
Shift work
Job source

Tech stack

Microsoft Word Data Analysis Audio Signal Processing Data Transformation Python (Programming Language) Machine Translation Natural Language Processing NLTK (NLP Analysis) Sentiment Analysis Speech Recognition Feature Engineering Transfer Learning
+4 more
Deep Learning Naive Bayes Feature Extraction GPT

Job description

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

Requirements

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

Benefits & conditions

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), 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.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

52 sec

Applying Naive Bayes algorithms for content filtering applications

Julian Joseph · LIVE

40 sec

Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · World Congress 2024

2:24 min

Leveraging artificial intelligence for personalized corporate learning platforms

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

4:24 min

Pipeline modifications for multilingual statistical classifier training

Kateryna Hrytsaienko · LIVE

Videos

See all

Related articles

See all