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Entry Level Computer Science Artificial Intelligence Jobs in Milwaukee, WI

... Computer Engineering, Computer Science, Artificial Intelligence and Robotics, Data Processing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... artificial intelligence. Behind our doors you'll be empowered every day to own it, drive it, and do ... Bachelor of Science Degree in Computer Engineering, Computer Science, ElectricalEngineering, or ...

Minimum Qualifications Current junior standing (or equivalent progress) in Computer Science ... In some cases, Codeworks, an LRS company, uses generative artificial intelligence ("AI") in support ...

... artificial intelligence. Behind our doors you'll be empowered every day to own it, drive it, and do ... Bachelor of Science Degree in Computer Engineering, Computer Science, Electrical Engineering, or ...

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Entry Level Computer Science Artificial Intelligence information

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How much do entry level computer science artificial intelligence jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for entry level computer science artificial intelligence in Milwaukee, WI is $16.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $17.07 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

What are Entry Level Computer Science Artificial Intelligence jobs?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry-level AI professional in computer science?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Artificial Intelligence professional, and why are they important?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.
What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Milwaukee, WI? For Entry Level Computer Science Artificial Intelligence jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Milwaukee, WI look for? The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Entry Level Computer Science Artificial Intelligence jobs? Cities near Milwaukee, WI with the most Entry Level Computer Science Artificial Intelligence job openings:
Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in Milwaukee, WI as of July 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $34,680 per year, or $16.7 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Medical College Of Wisconsin rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

254th of 614 rated colleges and universities


Job description

Summary

The Data Science Institute, in collaboration with the Department of Physiology, at the Medical College of Wisconsin seeks a highly motivated Research Scientist to join a collaborative research team focused on ontology and data curation for diverse research communities. This role supports the Hogan Laboratory in the Data Science Institute and the Rat Genome Database in the Department of Physiology by developing, maintaining, enhancing, and implementing biomedical ontologies in various software, annotation, and data management applications. The incumbent will gain experience in the theory and practice of biomedical, health, and behavioral ontologies, including advanced ontology development workflows. The incumbent will also extract relevant information from published journal articles, research laboratories, and databases and integrate this information with existing data.

A key project is the Advancing Prevention Research in Cancer through Ontology Tools (APRICOT) Project funded by the US National Institutes of Health (NIH), working with behavioral scientists and ontologists across three other European sites. This project is developing ontologies and associated tools and resources to be used in reporting behavior research. This position will work on the development of the Ontology for Modeling and Representation of Social Entities (OMRSE) and its interoperability with the Behaviour Change Intervention Ontology (BCIO).

The position also is an integral team member of the Rat Genome Database (RGD). RGD is the dedicated NIH-funded knowledgebase for the laboratory rat, along with human and several mammalian disease models; RGD curates multiple genomic data types, comprehensive disease and phenotype annotations, and develops novel tools to effectively mine, analyze and visualize the available data. The incumbent will independently conduct data curation including data acquisition, ontology development, and analysis for research projects whose focus is to provide comprehensive disease, clinical and physiological data to diverse research communities. They will work with technical team members on the development of data analytic tools and pipelines, as well as provide input into database and user interface design.

Primary Responsibilities
  • Data curation

  • Perform data acquisition and analysis, including identifying relevant sources of information, extracting clinical, disease, physiological and genetic information from text sources such as published literature and clinical records as well as web-based and other sources.

  • Develop content for web-based research resources.

  • Work with programmers and other curators to develop new and update existing data analysis tools, database design, and web interfaces.

  • Ontology development and implementation

  • Contribute to the development of the Ontology for Modeling and Representation of Social Entities (OMRSE); manage the issue tracker; create periodic releases; lead development meetings.

  • APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.

  • Participate in APRICOT meetings, events.

  • Contribute to the development of the Rehabilitation Ontology (REHABO); manage the issue tracker; create periodic releases; lead development meetings.

  • Contribute to ontology and vocabulary development for the Rat Genome Database, including but not limited to the Rat Disease Ontology (RDO)

  • Contribute to the development of the Drug Ontology (DrOn); manage the issue tracker; create periodic releases; lead development meetings.

  • General Responsibilities

  • Mentor graduate students and contribute to training and scientific development within the lab

  • Assist with the development of grant proposals and collaborative research initiatives

  • Coordinate research study activities; lead and manage projects including presenting project updates at meetings

  • Assist in creating workshops, presentations, and educational materials

  • May oversee the work of laboratory personnel, including training and development as well as daily work direction/delegation/prioritizing

  • Other duties as assigned

Knowledge - Skills - Abilities
  • Required knowledge: ontology, terminology, controlled vocabularies, data models

  • Technical knowledge: Familiarity with Web Ontology Language, Protege, GitHub, relational database management systems / SQL, public sequence databases, and model organism databases is highly desired

  • Enthusiastic, highly motivated, and proven ability to work independently, manage time effectively, and troubleshoot experiments

  • Strong interest and aptitude for multi-disciplinary collaboration

  • Skills and abilities: writing skills, presentation skills, organization, time management, multi-tasking.

Qualifications

Minimum Required Education: PhD in Biomedical Informatics, Ontology, Molecular Biology, Physiology, Computer Science, Artificial Intelligence, Biomedical Engineering, Bioinformatics, Biological or Health Sciences or comparable field

Preferred Experience: 5 years of research experience

  • Experience reviewing and interpreting scientific literature and research data.
  • Experience using tools for ontology development, annotation, term matching, referent tracking, semantic web.
  • Expertise using public genomic or disease data resources and software tools, data acquisition, integration or standardization; clinical, laboratory or informatics experience.
  • Work experience with collaborating with domain experts to solicit priorities for ontology development and formulating term definitions and axioms.
  • Strong publication record in peer-reviewed journals.

Appropriate experience may be substituted for education on an equivalent basis. Master's degree plus an additional minimum of 3 years of relevant research experience may be considered in lieu of a PhD.

#LI-FL1

Physical Requirements

Work requires occasionally lifting moderate weight materials, standing, or walking continuously.

Work Environment

Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment.

Sensory Acuity

Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects.


Why MCW?
  • Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options
  • 403B Retirement Package
  • Competitive Vacation and Paid Holidays offered
  • Tuition Reimbursement
  • Paid Parental Leave
  • Employee & Family Assistance Program (EFAP)
  • Pet Insurance
  • On campus Fitness Facility, offering onsite classes
  • Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc.

For a brief overview of our benefits see: Benefits Overview


For a full list of positions see: MCW Careers

At MCW all of our endeavors, from our internal operations to our interactions with our partners, are driven by our shared organizational values: Caring - Collaborative - Curiosity - Inclusive - Integrity - Respect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. For more information, please visit our institutional website.


MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination:

The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.



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About Medical College of Wisconsin

Sourced by ZipRecruiter

The Medical College of Wisconsin (MCW) is an industry-leading educational institution located in Milwaukee, WI, US. Being part of the medical and health services sector, MCW's primary mission is to educate and train the next generation of healthcare professionals. MCW offers a wide array of degrees and programs within medical and health sciences, covering everything from medical, graduate, pharmacy and health sciences studies, to continuing professional developments and community engagement initiatives. Founded in 1893, MCW boasts a rich, well-entrenched history in shaping the medical education landscape locally and globally. The institution's core values of knowledge-changing life underline its dedication to incorporating innovative approaches in education and research, commitment to diversity and inclusion, service to the community, integrity, stewardship, and collaboration.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

Year founded

1893

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