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Machine Learning Part Time Jobs in Dallas, TX (NOW HIRING)

Morada Senior Living

Dishwasher

North Richland Hills, TX · On-site

$11.25 - $14.50/hr

We continually aspire and invest in learning and development opportunities that support our team ... Flexible scheduling options with full-time and part-time hours * Paid time off and Holidays ...

Morada

Dishwasher

North Richland Hills, TX · On-site

$11.25 - $14.50/hr

We continually aspire and invest in learning and development opportunities that support our team ... Flexible scheduling options with full-time and part-time hours * Paid time off and Holidays ...

Morada Meadow Lakes

Dishwasher

North Richland Hills, TX

$11.25 - $14.50/hr

We continually aspire and invest in learning and development opportunities that support our team ... Flexible scheduling options with full-time and part-time hours * Paid time off and Holidays ...

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All JobsMachine Learning JobsMachine Learning Part Time JobsMachine Learning Part Time Jobs in Dallas, TX

Machine Learning Part Time information

See Dallas, TX salary details

$25.2K

$42.1K

$87.1K

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

As of Jul 23, 2026, the average yearly pay for machine learning part time in Dallas, TX is $42,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 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.

What are the most commonly searched types of Machine Learning jobs in Dallas, TX? The most popular types of Machine Learning jobs in Dallas, TX are:
What are popular job titles related to Machine Learning Part Time jobs in Dallas, TX? For Machine Learning Part Time jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in Dallas, TX look for? The top searched job categories for Machine Learning Part Time jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Machine Learning Part Time jobs? Cities near Dallas, TX 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 Dallas, TX as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $42,125 per year, or $20.3 per hour.
Part-Time Kids on Campus (3 openings)

Part-Time Kids on Campus (3 openings)

The Episcopal School of Dallas

Dallas, TX • On-site

Part-time

Posted 18 days ago

Job description

Job Type
Part-time
Description
Purpose: An ESD Kids on Campus staff member is passionate about children and has a basic knowledge of elementary education and child development who employs a variety of teaching tools and methodologies. As an effective member of the Lower School staff, this individual is flexible and able to work independently as well as collaboratively with colleagues. He/she is committed to developing and modifying curriculum to meet the unique needs of every child. This teacher will be a lifelong learner who engages in professional development and collegial conversation leading to effective teaching and learning practices.
Part-time: 2:00-5:30 pm Monday - Friday.
Essential Functions:
  • Promote the best interests of each child in the Lower School within the context of the Mission Statement and the Founding Tenets
  • All personnel should become familiar with all school routines and the school calendar
  • All personnel should learn the names of all faculty and staff members
  • All personnel should show a willingness to learn student and parent names
  • All personnel should demonstrate competence with all office machines including but not limited to copiers, fax machines, and desktop computers

Administrative Duties
  • Communicate in a positive way with ESD faculty, staff and families

Teaching Duties
  • Supervise students as they arrive, go to and from Kids on Campus rooms to classrooms, at outdoor play, after school activities, and as they are picked up in the afternoon.
  • Prepare lessons and activities that are developmentally appropriate for a wide range of children. The daily plans should include but are not limited to activities that encourage oral language proficiency, an appreciation of high quality children's literature, and promote creativity through hands-on art projects.

Perform other duties and responsibilities as assigned.
Abuse Risk Management Standards:
  • Adheres to policies related to boundaries with students.
  • Attends required abuse risk management training.
  • Adheres to procedures related to managing high-risk activities and supervising students.
  • Reports suspicious and inappropriate behaviors.
  • Follows mandated abuse reporting requirements.

Working Environment:
  • Occasional lifting, carrying, pushing, and/or pulling.
  • Generally 5% sitting, 45% walking and 50% standing.
  • Minimal temperature variations.
  • Generally hazard free environment.

The Episcopal School of Dallas is a faith-centered, co-educational, college preparatory, independent day school with students age 3 - Grade 12. The policy of The Episcopal School of Dallas is to recruit, hire, train and promote employees without discrimination based on race, sex, sexual orientation, age, religion, national origin, veteran status, disability or any other status protected by law. In our recruitment practices, we strive to create a diverse school community whose members embrace the Mission and Vision Statement of the school.
*New to the area or interested in learning more about Dallas, TX? Please see the link: https://sayyestodallas.com/
Requirements
  • High school diploma or GED, Undergraduate Degree preferred
  • A love and enthusiasm for teaching young children
  • Strong interpersonal and organizational skills
  • An interest in early childhood development
  • Demonstrates patience, creativity, optimism, resilience and adaptability
  • Knowledge of 21st Century learning principles
  • Ability to communicate clearly and effectively with various school constituencies
  • Technological proficiency expected, as well as a demonstrated capacity to learn new technology as necessary (i.e. Google Apps, Schoology, iPads and Chromebooks)
  • Knowledge of independent school culture and practices

Apply