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Machine Learning Data Associate Jobs in Aurora, IL

Lessen's technology platform provides data-driven insights that unlock key growth opportunities for ... The Machine Learning Engineer II role is part of the Technology Team, which is responsible for ...

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The Director, Data is responsible for applying data exploration and visualization, machine learning ... As an Inmar Associate, you: * Put clients first and consistently display a positive attitude and ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$107.60K - $147.80K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Construct optimized data pipelines to feed ML models. * Leverage continuous integration and ...

Design and deploy machine learning models to enhance trading performance across various asset ... Manage data acquisition, preprocessing, and feature engineering for structured and unstructured ...

Principal Data Scientist

Chicago, IL · On-site

$131.75K - $178.25K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data ... science and engineering, and ETL pipelines. * 7+ years of experience in data analysis software ...

Sr Machine Learning Engineer

Chicago, IL

$57.50 - $76/hr

... machine learning, and AI models across key business areas such as credit, fraud, marketing, and ... It involves assessing model soundness, data quality, and performance to identify and mitigate model ...

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

... machine learning, and AI models across key business areas such as credit, fraud, marketing, and ... It involves assessing model soundness, data quality, and performance to identify and mitigate model ...

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Machine Learning Data Associate information

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

As of May 31, 2026, the average hourly pay for machine learning data associate in Aurora, IL is $18.58, 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 are the key skills and qualifications needed to thrive as a Machine Learning Data Associate, and why are they important?

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 are Machine Learning Data Associates?

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 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.

What cities near Aurora, IL are hiring for Machine Learning Data Associate jobs? Cities near Aurora, IL with the most Machine Learning Data Associate job openings:
Infographic showing various Machine Learning Data Associate job openings in Aurora, IL as of May 2026, with employment types broken down into 72% Full Time, 24% Part Time, 3% Contract, and 1% Nights. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $38,640 per year, or $18.6 per hour.
Associate Professor of Data Science

Associate Professor of Data Science

The University of Chicago

Chicago, IL • On-site

$60.80K - $61.30K/yr

Full-time

Medical, Retirement, PTO

Posted 7 days ago


University Of Chicago rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

107th of 530 rated colleges and universities


Job description

Description
The University of Chicago invites applications for tenured faculty positions at the rank of Associate Professor in the area of Data Science. Appointments may be made in either the Department of Computer Science or the Department of Statistics, jointly between Statistics and Computer Science, or jointly with another department in the University.
The University of Chicago is implementing an ambitious plan for research and education in Data Science and AI, including new academic programs at the undergraduate and graduate levels and new cross-disciplinary research programs. The Data Science Institute (datascience.uchicago.edu) is a collaboration among the Department of Computer Science (cs.uchicago.edu), the Department of Statistics (stat.uchicago.edu), and other units on campus. Topics of interest include foundations and applications of artificial intelligence, machine learning, large language models, scientific AI and machine learning, data ethics and privacy, data visualization, societal impact of data and AI, safe and trustworthy AI, data engineering, scalable data systems, and high-dimensional statistical inference. We encourage applications from all researchers focused on developing the foundations and practice of Data Science as an emerging field. The Data Science Institute focuses on research that advances fundamental theories at the intersection of data science, artificial intelligence, statistics, and computing in the context of real-world and domain-specific problems. The Committee on Data Science(codas.uchicago.edu) is the home of data science education programs. The larger data science community at the University of Chicago includes the Committee on Computational and Applied Mathematics (cam.uchicago.edu), the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, Fermilab, and Argonne National Laboratory.
Members of the faculty are expected to lead research programs that will produce significant contributions to a field, and teach and mentor at the undergraduate and graduate levels.
This position is benefits-eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Qualifications
Required: A PhD in Data Science, AI, Statistics, Computer Science, Applied Mathematics, or related field. Candidates must have evidence of leadership in their field, successful independent research, and a demonstrated track record of mentoring PhD students and/or postdoctoral researchers.
Application Instructions
Applications must be submitted online through the University of Chicago's Academic Jobs website: https://apply.interfolio.com/174768.
Review of applications will begin on October 26, 2025, and will continue until all positions are filled.
The following materials are required:
• cover letter;
• curriculum vitae, including a list of publications;
• statement describing past and current research accomplishments and outlining future research plans; and
• description of teaching and mentoring philosophy and experience.
The following materials may be requested:
• up to three publications and
• names of three or more people who can provide confidential letters of recommendation.

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