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Machine Learning Data Associate Jobs in Aurora, IL

IMC

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the ... Design scalable model frameworks capable of handling high-volume trading data and delivering real ...

Coinflow

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

You will be the first dedicated ML hire and will own how data and machine learning are developed and applied across Coinflow. You'll explore large-scale transaction and behavioral data, build models ...

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

Bachelor's degree in Computer Science, Engineering, Data Science, Machine Learning, or equivalent practical experience. Required Qualifications * Solid hands-on experience with the GCP ecosystem ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

Bachelor's degree in Computer Science, Engineering, Data Science, Machine Learning, or equivalent practical experience. Required Qualifications * Solid hands-on experience with the GCP ecosystem ...

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay updated with the latest advancements in machine learning.

PayPal

Machine Learning Engineer

Chicago, IL

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay updated with the latest advancements in machine learning.

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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:
Machine Learning Data Associate jobs near you
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.
Data Scientist - Machine Learning

Data Scientist - Machine Learning

United Airlines, Inc.

Chicago, IL • On-site

Full-time

Posted 11 days ago

United Airlines rating

7.8

Company rating: 7.8 out of 10

Based on 330 frontline employees who took The Breakroom Quiz

9th of 26 rated airlines

Job description

Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities:
Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decisions
  • Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using machine learning, statistical, and structured programming languages
  • Identifies, researches, or solves large complex problems using big data and machine learning principles
  • Leverages understanding of the business process to identify and implement predictive and prescriptive solutions that will result in significant bottom-line contributions
  • Builds and develops machine learning model applications, and provides client support leveraging machine learning knowledge
  • Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups
  • Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available
  • Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for)
  • Anticipates working team questions to data and approach
  • Identifies solution quality risks and on-time risks
  • Understands the business value, process, and expectations before focusing on choice of a technical solution
  • Understands the intuition behind the numbers (i.e. does it make sense?)
  • Provides on-going analytical services to client organizations
  • Communicates results to management and clients
  • Contributes deck content and builds the story for the deck with guidance to summarize findings
  • Develops and delivers presentations aligned with Analytics & Innovation team standards
  • Speaks in a manner appropriate for working team and their level +1
  • Keeps informed about the latest analytical methods and research in machine learning, data science, and other analytics fields
  • Research and socialize tools and techniques in data science, ensuring best practices are applied at United

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Master's degree in quantitative field (machine learning, data science, statistics, engineering, etc.)
  • Coursework or work experience with mathematical programming techniques
  • Coursework or work experience implementing supervised machine learning to real-world tabular data use cases
  • Hands-on experience with ML and statistical modeling in applied projects
  • Strong Python software engineering skills with a focus on object-oriented programming and GitHub usage
  • Proficiency in SQL for analytical tasks and data manipulation
  • Ability to identify high-value opportunities and efficiently apply data science techniques to drive business impact
  • Strong ownership mindset, with the ability to work independently and collaborate across teams, including with SMEs and stakeholders, without direct supervision
  • Demonstrated intellectual curiosity, with a proactive approach to solving complex problems and a willingness to navigate ambiguity
  • Excellent oral and written communication skills, with the ability to clearly explain algorithms, modeling techniques, and data-driven insights to diverse audiences
  • Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment
  • Good interpersonal skills and ability to interact with clients
  • Proficient with MS Office
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualifications
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • Supervised computer vision (object detection) & NLP
  • Signal processing & machine learning applied to sensor data
  • Causal ML (DML, DR, etc.)
  • Probabilistic programming (Pyro, PyMC, Stan, etc.) and Bayesian modeling
  • AWS cloud stack experience
  • PySpark
  • Docker
  • Generative AI
  • Demonstrated ability to create business value

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media

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