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Machine Learning Part Time Jobs in Texas (NOW HIRING)

T3i, Inc.

Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

... machine learning, and operational decision support. Data Engineers serve as the technical ... part time, and independent contractor) and annual random drug screening for all current T3i ...

Lone Star College

  • Retirement

... learning. Adjunct faculty are hired in a part-time capacity on a semester-by-semester basis ... Teaches Machining courses at a variety of times and locations * Creates engaging lessons that ...

AST SpaceMobile

AI Lab Manager

Midland, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will hire, train, schedule, and supervise a part-time labeling workforce on AST's in-house ... Prior experience supporting computer vision, machine learning, or data-labeling operations

AST SpaceMobile

AI Lab Manager

Midland, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will hire, train, schedule, and supervise a part-time labeling workforce on AST's in-house ... Prior experience supporting computer vision, machine learning, or data-labeling operations

Chartwells HE

DISHWASHER (PART TIME)

Edinburg, TX · On-site

$11/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our careers are filled with purpose and encourage learning, growth, and meaningful impact. Apply ... Polishes silver using burnishing machine tumbler, chemical dip, buffing wheel and hand cloth ...

Bechtel

Senior Counsel - EPC Transformation

Houston, TX · On-site

$130K - $176K/yr

Telework Type: Part-Time Telework * Work Location: Houston, TX Extraordinary teams building ... Strong understanding of machine learning and artificial intelligence. Ability to translate highly ...

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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 Aug 20, 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 Instructor - Computer Science and Electrical Engineering

The Texas A&M University System

Stephenville, TX • On-site

Part-time

Re-posted 8 days ago

Job description

Job Title
Adjunct Instructor - Computer Science and Electrical Engineering
Agency
Tarleton State University
Department
Adjunct Faculty - Computer Science and Electrical Engineering
Proposed Minimum Salary
Commensurate
Job Location
Stephenville, Texas
Job Type
Faculty
Job Description
Tarleton State University, a distinguished Doctoral National Comprehensive University, invites applications for the position of Adjunct Instructor in the Department of Computer Science and Electrical Engineering. As part of a vibrant academic community dedicated to excellence in teaching, research, and service, this role offers the opportunity to contribute meaningfully to a university that values innovation, collaboration, and inclusive growth. Join us in advancing knowledge and transforming lives-on campus and beyond. Tarleton State University continues to grow its impact across Texas, with four distinct campuses located in Stephenville, Fort Worth, RELLIS-Bryan and Waco, along with a robust online community that extends our reach even further.
At the heart of it all is Stephenville, where Tarleton State offers a dynamic environment for faculty and staff. From a lively live music scene and numerous local festivals to rich traditions rooted in the surrounding community, Stephenville provides a vibrant and welcoming atmosphere.
No matter where you're located-on campus or online-you are part of a mission that transforms lives and makes a difference across the state of Texas and beyond.
Important Immigration Information:
A Presidential proclamation issued on September 19, 2025, imposes a $100,000 fee on new H-1B petitions filed after September 21, 2025. Please be advised that Tarleton State University will NOT pay this fee. Therefore, if you need immigration sponsorship for your employment, we recommend that you consult with your private immigration counsel at your own expense to ascertain whether your current immigration status would make a potential offer of employment from Tarleton State University subject to this fee.
In addition, on January 27, 2026, Texas Governor Abbot issued a moratorium on the filing of any new H-1B unless approved by the Texas Workforce Commission. Accordingly, if you will now or in the future require sponsorship for employment visa status this moratorium may affect our ability to employ you should you be selected as the final candidate.
The part-time Adjunct Faculty positions are designed to support our growing student enrollment for the 2025-2026 Academic Year at our Stephenville campus. Successful candidates may teach up to six (6) semester credit hours in their respective disciplines, delivering instruction in-person at our main campus in Stephenville, TX. Additionally, they will be expected to hold office hours and provide necessary support to students. Serves as a Campus Security Authority (CSA).
Essential Duties and Responsibilities:
100% Teaching:
  • Plan, prepare, and deliver lectures, seminars, and/or laboratory offerings to undergraduate and/or graduate students, which may include general education core curriculum.
  • Develop course syllabi, select instructional materials, and design assessments such as exams, quizzes, papers, etc.
  • Assess student performance, provide timely feedback, and evaluate student learning outcomes to inform teaching practices and curriculum improvements.
  • Engage students in active learning, foster critical thinking skills, and provide opportunities for discussion, collaboration, and hands-on learning.
  • Provide academic support and guidance to students through office hours, feedback on assignments, and mentoring.
  • Adhere to university policies, academic integrity standards, and accreditation requirements related to teaching responsibilities.
  • Incorporate innovative teaching methods, technologies, and pedagogical approaches to enhance student learning and engagement.

Other information:
  • Adjunct Faculty positions are temporary appointments, assigned per semester and on an as-needed basis.
  • These temporary appointments are for the Academic Year 2025-2026 sub-terms.

Required Qualifications:
  • Earned masters degree in Computer Science, Electrical Engineering, Computer Engineering, Cybersecurity, AI and Machine Learning or a closely related field from an accredited university with a minimum of 18 graduate hours in the teaching discipline.
  • Excellent written and oral communication skills in English.

Preferred Qualifications:
  • Earned doctorate/terminal degree in the teaching discipline or a closely related field from an accredited university with a minimum of 18 graduate hours in the teaching discipline.
  • Previous teaching experience at the collegiate level.

Knowledge, Skills, and Abilities:
Knowledge and understanding of disciplinary subject matter at a level adequate for undergraduate and graduate-level instruction; written and oral communication skills sufficient to conduct effective teaching activities; ability to interact with students, staff, and faculty in a professional, collegial, and collaborative manner.
***Commensurate with experience***
Application Procedure:
During the application process applicants have one opportunity to enter the requested information, upload documents, and Submit the application. Applicants will not be able to make changes or add additional documents once the application materials have been submitted via the "Submit" action.
Employment applications must include (required):
  • Completed online application
  • Cover Letter / Letter of Interest addressing qualifications
  • Curriculum Vitae or Resume
  • At least 3 current professional references and their full contact information
  • Unofficial transcripts

Applications received by Tarleton State University must have all job application data entered. Failure to provide all job application data could result in an invalid submission and a rejected application. "See resume" is not an acceptable entry in the job application. Incomplete applications will not be considered.
Review of applications will begin immediately and continue until the position is filled.
Official transcripts must be received directly from each degree-granting institution prior to a letter of appointment being issued.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.
Equal Opportunity/Veterans/Disability Employer.

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