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Research Assistant Machine Learning Jobs in Advance, MO

Electrician I

Cape Girardeau, MO · On-site

$26 - $33.50/hr

... machinery, primary focus will be on electrical and controls, AC and DC circuits, VFD's and ... Perform electrical diagnostics and assist with mechanical diagnostics with use of multimeters ...

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Research Assistant Machine Learning information

See Advance, MO salary details

$7

$19

$27

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

As of Aug 11, 2026, the average hourly pay for research assistant machine learning in Advance, MO is $19.25, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $22.40 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

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

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What cities near Advance, MO are hiring for Research Assistant Machine Learning jobs? Cities near Advance, MO with the most Research Assistant Machine Learning job openings:
Infographic showing various Research Assistant Machine Learning job openings in Advance, MO as of August 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 100% In-person job distribution, with an average salary of $40,044 per year, or $19.3 per hour.

Experiential Learning Consultant - Career Services

Southeast Missouri State University

Cape Girardeau, MO

Full-time

Posted 6 days ago


Southeast Missouri State University rating

8.2

Company rating: 8.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

142nd of 617 rated colleges and universities


Job description

Position Summary Experiential Learning Consultant - 2 positions available Office of Career Services Full-Time The Experiential Learning Consultant will provide individual career coaching and assistance to students on a variety of career-related topics including career planning, resume and cover letter preparation, networking, interviewing, internships/job search strategies, and utilization of online career resources. Within the Fearlessly Forward strategic plan, this position will engage faculty, staff, and stakeholders to build the available number of 8-week experiential learning opportunities, in addition to others, that are available to SEMO students. Primary Responsibilities Provide individual career coaching and assistance to students and alumni on career-related topics including career planning, resume and cover letter preparation, networking, interviewing, internships/job search strategies, and utilization of online career resources Engage with employers to create and find experiential learning opportunities Assist students by referring internally to college support services and externally to community resources as appropriate Promote and utilize online career management tools to assist students with internship and job search opportunities Research and keep current employment trends, knowledge of the job market, salary data, and best practices for career services through participation in regional and national career organizations Collaborate with career services staff to provide programs, workshops, classroom presentations, career expos, or other career-related events Contribute to the development of career resource materials Contribute to website content development Develop ongoing relationships with faculty, staff and administration to encourage full utilization of career services Assist with employer engagement and experiential learning initiatives Provide support for annual projects and reports Required Qualifications Bachelor's degree Knowledge of career development, recruiting and job search processes Evidence of strong communication (interpersonal, written, verbal), organizational, and customer service skills Ability to work independently with minimal supervision Experience working as part of a team in a collaborative work environment Evidence of the ability to exercise sound judgment Demonstrated ability to handle multiple tasks and projects Ability to work flexible hours including some evening and weekend hours consistent with student needs Experience in handling sensitive and confidential information Demonstrated ability to build and maintain collaborative partnerships with diverse stakeholders, including students, faculty, staff, employers, and community partners Required Information & Deadline Application Deadline: The position is available immediately and will remain open until filled.

To ensure full consideration, applications must be received by August 20, 2026. To Apply: Complete the application by clicking on the APPLY button at the top of the page. You will need to submit the following in order for your application materials to be complete.

Cover letter Current resume Names and contact information of three professional references may be asked for later, if not previously submitted Additional Information About Southeast Missouri State University (SEMO): Founded in 1873 and accredited by the Higher Learning Commission, Southeast Missouri State University provides student-centered education and experiential learning with a foundation of liberal arts and sciences, embracing a tradition of access, exceptional teaching, and commitment to student success that significantly contributes to the development of the region and beyond. SEMO values access to high-quality, affordable education with a broadly representative student body, faculty, and staff that respects and celebrates a diverse learning community in a global society. SEMO Fast Facts SEMO Strategic Action Plan.


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