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Machine Learning Part Time Jobs (NOW HIRING)

New York University

Research Scholar

New York, NY · On-site

$27.77/hr

Responsibilities include coding and running machine learning experiments, analyzing and ... This is a part time appointment and would require a work schedule of approximately 27 hours per ...

Implicit

AI Engineer (US-Based / Part-Time)

Solid understanding of NLP, machine learning, and modern deep learning techniques. * Hands-on ... Flexible part-time schedule. * Remote work within the United States. * Flexible vacation policy.

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Machine Learning Part Time information

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$25.5K

$42.6K

$88K

How much do machine learning part time jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning part time in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a machine learning part time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the key skills and qualifications needed to thrive in the machine learning part time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

More about Machine Learning Part Time jobs
What cities are hiring for Machine Learning Part Time jobs? Cities with the most Machine Learning Part Time job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
What states have the most Machine Learning Part Time jobs? States with the most job openings for Machine Learning Part Time jobs include:
What job categories do people searching Machine Learning Part Time jobs look for? The top searched job categories for Machine Learning Part Time jobs are:
Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

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

Fullstack Academy

Remote

$50 - $55/hr

Full-time, Part-time

Re-posted 7 days ago

Job description

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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