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Machine Learning Assistant Jobs in Houston, TX (NOW HIRING)

Assistant Treasurer

Houston, TX · On-site

$95 - $140/hr

... Intelligence (AI), Machine Learning (ML), and data analytics to enhance forecasting accuracy ... Analyze and assist in financial risk management activities including FX, interest rate, hedging ...

... Intelligence (AI), Machine Learning (ML), and data analytics to enhance forecasting accuracy ... Analyze and assist in financial risk management activities including FX, interest rate, hedging ...

... Intelligence (AI), Machine Learning (ML), and data analytics to enhance forecasting accuracy ... Analyze and assist in financial risk management activities including FX, interest rate, hedging ...

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

Apply prompt engineering techniques to generate consistent, repeatable AI outputs * Assist in ... Foundational knowledge of artificial intelligence, machine learning concepts, and AI tools * Hands ...

AI Automation Analyst

Spring, TX · On-site

$130K - $150K/yr

Apply prompt engineering techniques to generate consistent, repeatable AI outputs * Assist in ... Foundational knowledge of artificial intelligence, machine learning concepts, and AI tools * Hands ...

Learning Management System (LMS) Support * Assist with course setup, enrollments, tracking ... Skilled in operating computer equipment and general office machines such as personal computers ...

Enterprise System Engineer

Houston, TX · Hybrid

$102K - $127K/yr

The Enterprise System Engineer will: * Assist the NMC Chief Engineer and Chief Architect on various ... GitLab, Machine Learning, Debugging, Collaborative Development, Code Reviews Why Join Our Team? In ...

Apply advanced statistical techniques and machine learning algorithms to improve the accuracy and ... * Assist in crafting reports detailing market risk metrics like VaR and scenario analysis.

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... assist in selling complex scientific and technological solutions. The ideal candidate has ...

Showing results 41-60

Machine Learning Assistant information

See Houston, TX salary details

$12

$17

$22

How much do machine learning assistant jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for machine learning assistant in Houston, TX is $17.24, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.37 per hour, depending on experience, location, and employer.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are the most commonly searched types of Machine Learning jobs in Houston, TX?

The most popular types of Machine Learning jobs in Houston, TX are:

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

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

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

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

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

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

Infographic showing various Machine Learning Assistant job openings in Houston, 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 $35,859 per year, or $17.2 per hour.

Instructor, BAT Artificial Intelligence - Adjunct Pool

Houston Community College

Houston, TX • On-site

Part-time

Re-posted 18 days ago


Job description

SUMMARY
Provide the expertise and knowledge that support the college curriculum and programs. Establish courses following accepted higher education standards, teach students using a variety of effective methodologies and provide engagement and support activities that encourage student learning. The role of the Instructional Faculty encompasses teaching and learning, academic advising, professional development, and institutional and community service.
The incumbent may teach a maximum load of 9.75 (See Faculty Workload Guidelines) contact hours per week each semester in area(s) of competency and participate as a part-time instructor in the activities of the department, division, and college (See Faculty Workload Guidelines).
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.
1. Teaching:
a) Demonstrate skill and/or knowledge in teaching discipline.
b) Make continuous efforts to improve the quality of instruction by reviewing and utilizing innovative methodologies, techniques, and delivery methods.
c) Develop and use a syllabus for each course or laboratory within college, discipline, and departmental guidelines and submit one copy to the department chair.
d) Plan, develop, and use a variety of teaching methods and materials that assist students in meeting course objectives and which are appropriate for students with differing educational and experiential backgrounds and learning styles.
e) Evaluate students to measure their progress toward achievement of stated course objectives and inform them of their progress in the course in a timely manner.
f) Keep accurate student records and submit related reports and forms within requested timelines. (See Faculty Workload Guidelines)
g) Review, evaluate, and recommend student textbooks and learning materials.
h) Teach courses at a variety of times, locations, and modalities in response to institutional programmatic needs.
i) Develop and maintain an LMS (Learning Management System) shell for each assigned course.
j) Use equipment and facilities responsibly and courteously. Where appropriate, assist the chair with the routine maintenance of instructional laboratories.
k) Demonstrate competence and interest in the use of technology in the classroom and willingness to explore new instructional methodologies.
2. Academic Advising:
a) Maintain professional relationships with students, colleagues, and the community.
b) Provide access to students through posted office hours, electronic communication, and other appropriate methods. Provide advice and assistance to students regarding instructional or program-specific issues during class time and office hours.
3. Professional Development:
a) Establish annual objectives for professional growth in consultation with the department chair.
b) Keep pace with developments in the discipline.
c) Learn technologies that support student learning.
d) Participate in department-required annual evaluation process.
4. Institutional and Community Service:
a) Part-time faculty are encouraged but not required to participate in department, college, or district committees and governance organizations.
b) Be familiar with and adhere to all policies and procedures of HCCS.
c) Participation in activities required to maintain program and college accreditation standards.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform the essential duties and responsibilities listed above. The qualifications listed below are representative of the education, experience, knowledge, skills, and/or abilities required.
EDUCATION
Master's degree (or 18 graduate level hours) in a STEM-related field such as Artificial Intelligence, Data Science, Engineering, Physics, Computer Science, or other related science major required.
Doctorate degree in the aforementioned fields preferred.
Copy of transcript conferring required degree and certifications must accompany application.
EXPERIENCE
3 years industrial experience in Machine Learning, Artificial Intelligence AI/ML, Deep Learning, Cloud Computing, Applications Development, Cybersecurity, IT, Computer Science, System Support, Databases/Fulfillment, Storage, Electrical Systems, Software Design/Development, Programming or Robotics required.
Beyond expertise in machine learning, preference will be given to applicants with real-world experience in one or more of the following: virtual systems, operating systems, assembly language, programming languages (esp. C , Python, R, Java, Objective-C, Azure, and/or Swift), cloud computing, reverse engineering, computer networks, information security, digital forensics, risk analysis & mitigation, or policy development. AI industry credentials including AWS, Google preferred.
KNOWLEDGE, SKILLS, AND ABILITIES
1. Willing and able to teach day or evening classes at a number of sites around the city.
2. Knowledge and skill in a variety of computer usage and software are required.
3. Excellent interpersonal skills and the ability to communicate effectively.
4. Possess good organizational and planning skills.
5. Demonstrate sensitivity to students with different academic and socio-economic backgrounds and students with disabilities.
6. Demonstrated ability to inspire and motivate students in a learning-centered environment.
7. Self-disciplined and able to effectively manage others.
This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by their supervisor.
This job description may be revised upon development of other duties and changes in responsibilities.
Additional Information
EEO Statement
Houston City College does not discriminate on the bases of race, color, religion, sex, gender identity and expression, national origin, age, disability, sexual orientation or veteran's status. The following person has been designated to handle inquiries regarding the non-discrimination policies:
Sandra B. Jacobson, J.D., M.Ed., SHRM-SCP, Interim Director of EEO and Compliance & Title IX Coordinator
Office of Equal Opportunity and Title IX
PO Box 667517
Houston TX, 77266
713 718.8271 or hcc.oeotix@hccs.edu
HCC values its employees and their contributions, promotes opportunities for their professional growth and development, and provides a positive working and learning environment that encourages involvement, innovation, and creativity.
Individuals with disabilities, who require special accommodations to interview, should contact (713) 718-8565.