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Freelance Machine Learning Intern Jobs in Houston, TX

Citadel

Software Engineer - Intern (US)

Houston, TX · On-site

$4.5K - $5.8K/wk

You'll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more. As an intern, you'll get to ...

Hp

Enterprise Operations Engineering Internship

Spring, TX

$35/hr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Our intern program is intended to enhance your overall learning experience, give you an opportunity ... AI and machine learning * Technical documentation and cross-functional communication Operations ...

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All JobsMachine Learning Intern JobsFreelance Machine Learning Intern JobsFreelance Machine Learning Intern Jobs in Houston, TX

Freelance Machine Learning Intern information

See Houston, TX salary details

$24.4K

$40.7K

$84K

How much do freelance machine learning intern jobs pay per year?

As of Aug 13, 2026, the average yearly pay for freelance machine learning intern in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Machine Learning Intern jobs in Houston, TX? The most popular types of Machine Learning Intern jobs in Houston, TX are:
Freelance Machine Learning Intern jobs near you

Research Intern - Imaging Physics - Research

MD Anderson Cancer Center

Houston, TX • On-site

Internship

Re-posted 29 days ago

MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 170 frontline employees who took The Breakroom Quiz

23rd of 887 rated healthcare providers

Job description

A research intern position is available in the department of Imaging Physics, under the mentorship of Dr. Jia Wu. The trainee will collaborate on projects designated by the mentor and will contribute to all aspects of the research process, including project conception, data collection, and analysis. Primary data collection may include, but is not limited to, chart reviews for genomic typing, treatment response, and survival outcomes of lung cancer patients treated with various therapies, as well as the integration of histology, radiomics, and genomics data. The trainee will analyze results using mathematical and statistical tools, compile findings, prepare reports, and submit these to the mentor.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
Collaborate within a multidisciplinary team that brings together expertise in oncology, radiomics, and AI/machine learning.
Gain comprehensive knowledge across all three domains through hands-on research and mentorship.
Develop independent research interests with guidance and support from mentor, fostering professional growth and innovation.
ELIGIBILITY REQUIREMENTS
Applicant must hold a bachelor's or master's degree. Applicant must have previous research experience
POSITION INFORMATION
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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