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Machine Learning Part Time Jobs in Texas (NOW HIRING)

YO AI Labs

AI Data Science Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Scientist Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Scientist Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Scientist Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Science Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

John Deere

$15 - $40/hr

The Part-Time Student Program is primarily designed to augment the Company's regular full-time ... Knowledge of applied operations research/machine learning/deep learning techniques * Ability to ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Part Time JobsMachine Learning Part Time Jobs in Texas

Machine Learning Part Time information

See Texas salary details

$23.8K

$39.7K

$82K

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

As of Sep 10, 2026, the average yearly pay for machine learning part time in Texas is $39,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 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 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.

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 most commonly searched types of Machine Learning jobs in Texas?

The most popular types of Machine Learning jobs in Texas are:

What are popular job titles related to Machine Learning Part Time jobs in Texas?

For Machine Learning Part Time jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Machine Learning Part Time jobs in Texas look for?

The top searched job categories for Machine Learning Part Time jobs in Texas are:

What cities in Texas are hiring for Machine Learning Part Time jobs?

Cities in Texas with the most Machine Learning Part Time job openings:

Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $39,673 per year, or $19.1 per hour.

Adjunct Faculty (Data Science and Artificial Intelligence) NLC - req13794

Universal City, TX • On-site

Northeast Lakeview College
Colleges, Universities, and Professional Schools • 51 - 200 employees
Learn more about Northeast Lakeview Collegeexternal

Full-time, Part-time

Re-posted 11 days ago

Alamo Colleges District rating

7.1

Company rating: 7.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Adjunct Faculty (Data Science and Artificial Intelligence) NLC - req13794
To receive consideration for employment, you must upload transcript(s) and a Resume/CV. Please submit transcript(s) under "Other Documents" under applicant profile in application.
Posting closes on: 12/1/2026 at 6:00pm CST
The date after which applications are not guaranteed review is 12/1/2026
This position is part-time and temporary
Employment type: TN
Hours per Week: Varies
Hourly or Salaried: Salary
Entry Pay: Depends on education level
Funding source: Hard Money
Benefits Eligible: No
Location: Data Sci Artificial Intelligenc
1201 Kitty Hawk Rd.
Universal City, Texas, 78148
United States
Requisition #: req13794
Outside working hours if other than M-F 8:00 a.m. to 5:00 p.m.: May work evenings and weekends
Job Summary and Description
Teaching faculty are professional educators who have the primary responsibility of fulfilling the District mission of providing a quality education for all students attending the colleges. Categories include full-time, temporary with benefits, and temporary without benefits. Faculty members are responsible to a department/program chairperson; The relationship of the faculty member to the student is one of leader, teacher, advisor, and facilitator of learning. Faculty members will uphold the mission and values of the colleges' and foster effective working relationships with students and colleagues.
To view a complete job description, click here.
Qualifications
Minimum Education and Experience:
  • Associates degree plus three years of experience.
  • Python coding with experience in Pandas, Scikit, numpy.
  • Experience with IDEs such as PyCharm and Anaconda.
  • Experience in Machine Learning, supervised and unsupervised, including creation of small models for real-world purposes.
  • Familiarity with frameworks such as TensorFlow.
  • Exposure to Neural Networks/Deep Learning Algorithms.
  • Good understanding of statistics (regression, ANOVA).
  • Fair knowledge of RDBMS, NoSQL, JSON, YAML.
  • Some Experience with benchmarking LLMs qualitatively and quantitatively.

Preferred Education and Experience:
  • Some R knowledge would be preferred.

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