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Machine Learning Data Associate Jobs in Springfield, IL

Completion of a certificate/training program or Associates degree in health sciences is preferred ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

... experience Education Associates degree Bachelors degree or Certificate program considered ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

MRI Technologist I - PRN

Springfield, IL ยท On-site

$32.58 - $48.87/hr

Bachelors or Associates degree in Radiology required or must have completed an accredited radiology ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

Bachelors or Associates degree in Radiology required or must have completed an accredited radiology ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

Showing results 41-60

Machine Learning Data Associate information

See Springfield, IL salary details

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$30

How much do machine learning data associate jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for machine learning data associate in Springfield, IL is $18.57, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $19.76 per hour, depending on experience, location, and employer.

What is a machine learning data associate?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

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

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a machine learning data associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities near Springfield, IL are hiring for Machine Learning Data Associate jobs?

Cities near Springfield, IL with the most Machine Learning Data Associate job openings:

Infographic showing various Machine Learning Data Associate job openings in Springfield, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $38,627 per year, or $18.6 per hour.

Cardiovascular Invasive Technician III

HSHS

Springfield, IL โ€ข On-site

$32.58 - $48.87/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Job description

Cardiac Catheterization Lab Technician

Pay Range: $32.58 - $48.87

A successful candidate's actual pay rate will be based on several factors including relevant experience, skills, training, certifications and education.

Assists the physician with the performance of invasive and diagnostic/interventional cardiac, vascular, neuro and electrophysiology procedures, by monitoring, passing instruments and catheters, observing patient response to procedure, maintaining sterile field, and interpreting and evaluating diagnostic data to be utilized by the physician. Supports the education, training, quality improvement and research processes in the department and excels in a subspecialty area of expertise.

Position Specifics:

  • Department: Cath Lab
  • Core Function: Imaging
  • Schedule: Full time, Day shift
  • Facility: St. John's Hospital
  • Location: Springfield, IL
  • Compensation aligned with your experience

Education Qualifications:

  • High School Diploma or GED is required.
  • Completion of a certificate/training program or Associates degree in health sciences is preferred (including but not limited to cardiovascular technology, respiratory therapy, nursing, or emergency medical services).

Experience Qualifications:

  • 4 years of cath lab or special procedures experience is required.
  • Cross-trained and able to rotate to perform at least four (4) functional skill sets as delegated in any diagnostic or interventional case type performed.

Certifications, Licenses and Registrations:

  • Certification as a Registered Cardiovascular Invasive Specialist (RCIS) or Registered Cardiac Electrophysiology Specialist (RCES) from Cardiovascular Credentialing International (CCI) is required (for hires/transfers, including promotions/career progressions, after July 2023).
  • Candidates without RCIS/RCES certification may be considered if they have a minimum of 10 years of hands-on experience in a cardiac catheterization lab and can demonstrate in-depth knowledge of invasive cardiology procedures, hemodynamic monitoring, sterile technique, and procedural support.
  • Basic Life Support (BLS) is required.
  • Advanced Cardiac Life Support (ACLS) is required.

Job Description:

Scheduled Weekly Hours: 0

Throughout communities in Illinois and Wisconsin, 13 hospitals, numerous community-based health centers and clinics, our 13,000+ colleagues have built a culture based on our solid core values of respect, care, competence, and joy. These are the ideals we believe in, work by, and live each day.

Built upon more than 145 years of service to the communities we serve, we now look to the future and our place in it as a health care system that strives to continually improve processes, procedures, and outcomes with the latest and most advanced technologies and treatments.

Regardless of how far our passion for excellence carries us, our focus will always remain on the most important person in our entire organization: The patient.

Benefits: HSHS provides a benefits package designed to support the overall well-being of our colleagues including their physical, emotional, financial, spiritual, and work health. Colleagues budgeted to work at least 32 hours per pay period are eligible for HSHS benefits.

  • Comprehensive and affordable health coverage includes medical, prescription, dental and vision coverage for full-time and part-time colleagues.
  • Paid Time Off (PTO) combines vacation, sick, and personal days into one balance to allow you the flexibility to use your time off as you need.
  • Retirement benefits including HSHS contributions.
  • Education Assistance benefits include up to $5,250 of educational assistance each calendar year and tuition discounts to select colleges with no waiting period.
  • Adoption Assistance provides financial support up to $7,500 for colleagues growing their families through adoption to reimburse application and legal fees, transportation, and more!
  • Other benefits include: Wellness program with incentives, employer-paid life insurance and short-term and long-term disability coverage, flexible spending accounts, employee assistance program, ID theft coverage, colleague rewards and recognition program, discount program, and more!

HSHS and affiliates is an Equal Opportunity Employer (EOE).

HSHS is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Notice Regarding Potential Use of Artificial Intelligence in the Hiring Process

Hospital Sisters may use automated tools, including artificial intelligence or machine-learning technologies, to assist with certain administrative aspects of the recruitment process. These tools may help our recruiting team organize applications, search for resumes, identify qualifications reflected in application materials, and facilitate communications or scheduling with applicants.

Information used by these tools may include materials you provide during the application process, such as your resume, work history, education, qualifications, and responses to application questions.

These tools are used only to support our recruiting process. Hiring decisions are made by HSHS personnel, and automated tools do not make employment decisions on behalf of HSHS.

Applicants who have questions about this notice or who require a reasonable accommodation or alternative evaluation method may contact HSHS Human Resources at Contact@hshs.org