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Machine Learning Teaching Assistant Jobs in Denton, TX

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How much do machine learning teaching assistant jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for machine learning teaching assistant in Denton, TX is $16.93, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $18.03 per hour, depending on experience, location, and employer.

How does a machine learning teaching assistant typically collaborate with professors and students during a course?

As a Machine Learning Teaching Assistant, you will work closely with professors to develop and grade assignments, clarify course concepts, and facilitate discussions in lectures or lab sessions. You often serve as a bridge between students and faculty, providing guidance on programming tasks, troubleshooting code, and offering feedback on projects. Regular office hours and online forums are common venues for this support, making strong communication skills and a solid grasp of machine learning fundamentals essential. This collaborative environment helps you deepen your expertise while supporting student learning.

What is a machine learning teaching assistant?

Machine Learning Teaching Assistants are individuals, often graduate students or knowledgeable undergraduates, who assist professors or instructors in teaching machine learning courses. Their responsibilities typically include helping students understand course material, grading assignments, holding office hours, and sometimes leading discussion or lab sessions. They act as a bridge between students and instructors, offering support for both theoretical concepts and practical implementation. By providing guidance and feedback, they help ensure students gain a solid understanding of machine learning principles and applications.

What are the key skills and qualifications needed to thrive as a machine learning teaching assistant, and why are they important?

To thrive as a Machine Learning Teaching Assistant, you need a solid foundation in machine learning concepts, programming (often Python), and relevant coursework or a degree in computer science or a related field. Familiarity with tools like Jupyter Notebooks, TensorFlow, PyTorch, and version control systems is commonly expected. Strong communication, patience, and organizational skills help you effectively support students and collaborate with instructors. These abilities ensure you can explain complex topics clearly, assist students efficiently, and contribute to a positive learning environment.

What are popular job titles related to Machine Learning Teaching Assistant jobs in Denton, TX?

For Machine Learning Teaching Assistant jobs in Denton, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Teaching Assistant jobs in Denton, TX look for?

The top searched job categories for Machine Learning Teaching Assistant jobs in Denton, TX are:

What cities near Denton, TX are hiring for Machine Learning Teaching Assistant jobs?

Cities near Denton, TX with the most Machine Learning Teaching Assistant job openings:

Machine Learning Teaching Assistant jobs near you
Infographic showing various Machine Learning Teaching Assistant job openings in Denton, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $35,207 per year, or $16.9 per hour.

Clinical Teaching Assistant - Nursing Denton

Texas Woman's University

Denton, TX • On-site

$40/hr

Part-time

Re-posted 26 days ago

Texas Woman's University rating

6.6

Company rating: 6.6 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

498th of 618 rated colleges and universities

Job description


JOB DESCRIPTION
TITLE:
Clinical Teaching Assistant (CTA)
JOB SUMMARY:
The Clinical Teaching Assistant (CTA) provides direct support to lead clinical faculty in the instruction and supervision of nursing students during lab and clinical rotations. This position exists to enhance the student-to-instructor ratio, support individualized learning, and ensure a safe and high-quality clinical learning environment. CTAs facilitate the development of clinical skills, critical thinking, and professional behavior in alignment with program objectives. Work is performed under general supervision, with duties aligned to established procedures and instructional goals. Performance is evaluated based on the successful support of clinical instruction and student progress, in accordance with University policies.
ORGANIZATIONAL RELATIONSHIPS
Reports to: Campus Nursing Simulation Lab Manager, College of Nursing
Supervises: None
ESSENTIAL DUTIES - May include, but are not limited to the following:
  • Assist lead faculty in clinical instruction of nursing students in hospital, healthcare, or laboratory settings
  • Supervise and evaluate students' clinical performance, including medication administration, patient care, and documentation practices
  • Facilitate pre-brief and debrief conferences to encourage critical thinking and reflection
  • Monitor student adherence to safety protocols and professional standards of practice
  • Provide real-time, constructive feedback to support skill acquisition and performance improvement
  • Maintain accurate documentation of student progress and clinical evaluation records
  • Support students during simulation activities and in remediation efforts as needed
  • Communicate regularly with university faculty and clinical site personnel to ensure instructional alignment and safety

ADDITIONAL DUTIES
  • Attend faculty meetings as applicable and participate in relevant professional development opportunities
  • Support lab instruction and skill demonstration sessions as scheduled
  • May be asked to participate in simulation scenario preparation and student assessment
  • Assist with the organization and setup of clinical equipment and materials

EDUCATION
Required:
  • Bachelor of Science in Nursing (BSN)
  • Current, unencumbered Texas Registered Nurse (RN) license
  • Current Basic Life Support (BLS) certification

Preferred:
  • Master's degree in Nursing or related field
  • Specialty certification in clinical practice area
  • Simulation-based instruction or preceptor experience

EXPERIENCE
Required:
  • Minimum 3 years of clinical nursing experience
  • Strong clinical assessment and patient care skills

Preferred:
  • Previous teaching or preceptor experience
  • Familiarity with simulation-based instruction
  • Experience using electronic health record (EHR) systems

REQUIREMENTS
Regular and reliable attendance during scheduled clinical and lab sessions is essential. Must be able to travel between campus and/or affiliated clinical sites as required.
KNOWLEDGE, SKILLS, AND ABILITIES - The following are essential:
  • Knowledge of common medications and their clinical use
  • Understanding of clinical evaluation methods and adult learning principles
  • Skill in demonstrating and assessing nursing procedures
  • Proficiency in EHR systems and clinical documentation
  • Ability to communicate effectively in both written and verbal forms
  • Strong time management and multitasking capabilities
  • Ability to engage with diverse student populations in a professional and supportive manner
  • Capacity to provide constructive feedback to facilitate student learning
  • Familiarity with nursing curriculum objectives and accreditation requirements
  • Competence in simulation technology and moulage (preferred)

PHYSICAL DEMANDS
Must be able to stand and walk for extended periods during lab and clinical activities. Requires lifting up to 50 pounds for demonstrations involving mannequins or equipment. Travel between university and clinical locations may be required. Schedule may include early mornings, evenings, and occasional weekends.
WORK ENVIRONMENT
Work is primarily performed in clinical environments, simulation laboratories, and patient care settings. Exposure to infectious diseases, bodily fluids, and standard healthcare risks is inherent to the role. Safety protocols must be strictly followed at all times.
SAFETY
All employees are expected to contribute to a safe working and learning environment, adhering to all health, safety, and privacy regulations. Incidents, hazards, or concerns must be promptly reported to supervisors or the university's Risk Management Office.
Texas Woman's University strives to provide an educational environment that affirms the rights and dignity of each individual, fosters diversity, and encourages a respect for the differences among persons. Discrimination or harassment of any kind is considered inappropriate.
Texas Woman's University is committed to equal opportunity in employment and education and does not discriminate on the basis of race, color, religion, gender, sex, sexual orientation, ethnic origin, age, veteran's status, or against qualified disabled persons.
All positions at Texas Woman's University are deemed security sensitive requiring background checks.
If you are a male between the age of 18 and 25, federal law requires that you must be registered with the U.S. Selective Service System, unless you meet certain exemptions under Selective Service law. Under HB 558, enacted by the 76th Texas State Legislature, if you are currently of the age and gender requiring registration with Selective Service, but knowingly and willfully fail to do so, you are ineligible for employment with an agency in any branch of Texas state government. For additional information regarding registration or status, you can contact the Selective Service System at 847-688-6888 or www.sss.gov.
About Us
TWU is the nation's largest university system focused on women and a federally recognized Hispanic-Serving Institution. TWU is situated approximately 30 miles north of the Dallas-Fort Worth Metroplex and is home to approximately 16,433 graduate and undergraduate students across three campuses; Denton, Dallas, and Houston respectively. This diverse academic student community is guided by faculty committed to excellence in teaching, scholarship, and service. TWU is ranked among the nation's top ethnically diverse institutions according to U.S. News & World Report (2022).
Additional information about the University is available at http://www.twu.edu

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