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Freelance Machine Learning Compiler Engineer Jobs in Winona, TX

... engineering disciplines while helping to shape the future of electric heavy machinery design. Our culture promotes learning and development, encouraging every team member to expand their skills and ...

... engineering disciplines while helping to shape the future of electric heavy machinery design. Our culture promotes learning and development, encouraging every team member to expand their skills and ...

... engineering disciplines while helping to shape the future of electric heavy machinery design. Our culture promotes learning and development, encouraging every team member to expand their skills and ...

... engineering disciplines while helping to shape the future of electric heavy machinery design. Our culture promotes learning and development, encouraging every team member to expand their skills and ...

... engineering disciplines while helping to shape the future of electric heavy machinery design. Our culture promotes learning and development, encouraging every team member to expand their skills and ...

... engineer or warranty service specialist (technician). Will be courteous and provide customer ... Reasoning * Learning * Remembering * Problem Solving * Decision Making * Attention Essential ...

2026 Operator Apprentice

Longview, TX

$15.75 - $20.25/hr

... engineering teams. The individual also participates in daily shift exchanges to build communication and teamwork skills. * Continuous Learning & Collaboration: The Apprentice works closely with ...

Freelance Machine Learning Compiler Engineer information

See Winona, TX salary details

$14

$44

$124

How much do freelance machine learning compiler engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for freelance machine learning compiler engineer in Winona, TX is $44.83, according to ZipRecruiter salary data. Most workers in this role earn between $22.84 and $58.08 per hour, depending on experience, location, and employer.

What is the difference between Freelance Machine Learning Compiler Engineer vs Freelance Software Developer?

AspectFreelance Machine Learning Compiler EngineerFreelance Software Developer
Required SkillsMachine learning frameworks, compiler optimization, programming (C++, Python)General programming, software design, various languages
Work EnvironmentProject-based, remote, often technical teams in AI/ML industryVaried industries, remote or on-site, broad application areas
Industry UsageAI/ML companies, research labs, tech firmsTech, finance, healthcare, startups, enterprise

Freelance Machine Learning Compiler Engineers focus on optimizing ML models for deployment, requiring specialized knowledge in ML frameworks and compiler technology. Freelance Software Developers have broader roles across various industries, working on diverse software projects. Both roles are in high demand but differ in technical focus and industry application.

What cities near Winona, TX are hiring for Freelance Machine Learning Compiler Engineer jobs?

Cities near Winona, TX with the most Freelance Machine Learning Compiler Engineer job openings:

Infographic showing various Freelance Machine Learning Compiler Engineer job openings in Winona, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $93,246 per year, or $44.8 per hour.

Adjunct Professor - Electrical and Computer Engineering

University of the District of Columbia

Van, TX • On-site

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Number of Vacancies: 1 Area of Consideration: Open to the Public Employment Status: Part -Time, Temporary Pay Plan, Series & Grade: ES0000/0000/01 Salary Range: Minimum $950 per credit hour Closing Date: Open Until Filled Location: 4200 Connecticut Ave, NW Washington, DC 20008 Brief Description of Duties The University of the District of Columbia is a public land grant institution of higher learning dedicated to providing quality, career focused undergraduate and graduate programs that prepare students with the knowledge, skills, and credentials needed to launch, enhance, or change careers. Incumbents must teach all assigned classes and hours as determined by semester course schedule; Incumbents will be required to prepare and deliver relevant curriculum to students in the, using a variety of teaching methods to include, but not limited to, lecture, class discussion, demonstration labs, and projects. Essential Duties and Responsibilities
  • Applicant should be able to teach assigned courses as specified in the schedule and course contract.
  • Applicants should have the ability to teach undergraduate and graduate courses in Electrical Engineering, such as Microprocessors Assembly Language Programming, VLSI, Probability and Statistics, Probability and Random Processes, Machine Learning, Virtual Reality and Augmented Reality.
  • Evaluate and select texts and instructional materials; prepare course materials and lesson plans.
  • Provide students an approved syllabus that includes course objectives and learning outcomes, teaching methodology, attendance policies in line with those of the institution, texts and readings, assignments and deliverables, timelines and evaluation criteria.
  • Use the institution's learning management system to post syllabus, assignments and other materials and to communicate with students.
  • Deliver course content using a variety of teaching styles and provide interesting and engaging assignments that demonstrate the real-world applications of concepts covered.
  • Maintain records of enrollment and attendance, assessments and grades, submit class rosters and grade sheets by the deadlines established by the institution.
  • Provide a classroom environment conducive to learning, establishing and maintaining classroom control.
  • Encourage students to submit course evaluations, review course evaluations when available and use feedback to improve course delivery.
  • Attend all meetings, ceremonies and official functions as specified by the Chief Academic Officer, Chief Community College Officer and/or Dean.
  • Attend one or more orientation session(s) to become familiar with the Institution's mission and teaching philosophy, policies and procedures and the learning management system.
  • Meet with the Dean or Department Chair/Division Director as needed to discuss all aspects of the course including student progress and curriculum development (may be required to provide input into program development).
  • Adhere to University policies and guidelines in all matters concerning academics and student and staff conduct.
Minimum Job Requirements
  • Applicants should have PhD in Electrical Engineering or Related field.
  • Prior teaching experience or must demonstrate evidence of teaching potential and/or corporate/industry training.
Information to Applicant Condition of Employment: Temporary employment may be ended at anytime with or without cause. Collective Bargaining Unit: Dependent upon certain criteria, this position may be eligible for representation and require payment of union fees through direct payroll deduction. Employment Benefits: Due to the temporary nature of this appointment, this position is ineligible for benefits. Equal Opportunity Employer: The District of Columbia Government is an Equal Opportunity Employer. All qualified candidates will receive consideration without regard to race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, family responsibilities, matriculation, physical handicap, or political affiliation. Notice of Non-Discrimination: In accordance with the D.C. Human Rights Act of 1977, as amended, D.C. Official Code, Section 2-1401.01 et. seq., (Act) the University of the District of Columbia does not discriminate on the basis of actual or perceived: race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity or expression, familial status, family responsibilities, matriculation, political affiliation, genetic information, disability. Sexual harassment is a form of sex discrimination which is also prohibited by the Act. In addition, harassment based on any of the above protected categories is prohibited by the Act. Discrimination in violation of the Act will not be tolerated. Violators will be subject to disciplinary action. Veterans Preference: Applicants claiming veteran's preference must submit official proof at the time of application. Visa Sponsorship: At this time, the University of the District of Columbia does not provide sponsorship for visas (e.g. H-1B). This job is also ineligible for Optional Practical Training (OPT). Drug-Free Workplace: Pursuant to the requirements of the Drug-Free Workplace Act of 1988, the individual selected to fill this position will, as a condition of employment, be required to notify his/her immediate supervisor, in writing, not later than five (5) days after conviction of any criminal drug statute occurring in the workplace. Background Investigation: Employment with the University of the District of Columbia is contingent upon a satisfactory background investigation. The determination of a "satisfactory background investigation" is made at the sole discretion of the University of the District of Columbia. The University may refuse to hire a finalist, rescind an offer of employment to a finalist or review and may terminate the employment of a current employee based on the results of a background investigation. Disposition of Resume: Resumes received outside the area of consideration and/or after the closing date will not be given consideration. You must resubmit your resume to receive consideration for any subsequent advertised position vacancies. For the purpose of employment, resumes are not considered job applications. Therefore, if selected for employment a UDC application will be required. Job Offers: Official Job Offers are made by the University of the District of Columbia, Office of Talent Management Only. Contact Information: All inquiries related to employment and job applications should be directed to UDC Office of Talent Management at (202) 274-5380. The University of the District of Columbia is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. For a full version of the University's EO Policy Statement, please visit: http://www.udc.edu/equal opportunity/.