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Machine Learning Data Associate Jobs in Aurora, IL

Machine Learning Engineer II

Chicago, IL ยท On-site

$100.40K - $137.50K/yr

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 ...

New

Machine Learning Engineer II

Chicago, IL

$100.40K - $137.50K/yr

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 ...

New

Senior Data Scientist

Chicago, IL ยท On-site

$110.50K - $149.50K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data ... science and engineering, and ETL pipelines. * 5+ years of experience in data analysis software ...

Chicago, IL An AI/ML Engineer designs, develops, and deploys production-ready artificial intelligence and machine learning models and systems, managing data pipelines, running experiments, and ...

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... Oversee data acquisition, preprocessing, and feature engineering for structured and unstructured ...

Machine Learning Researcher

Chicago, IL ยท On-site

$250K - $300K/yr

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

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on ... building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data ...

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on ... building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data ...

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Machine Learning Data Associate information

See Aurora, IL salary details

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

As of Jun 1, 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.
Machine Learning Engineer II

Machine Learning Engineer II

Lessen

Chicago, IL โ€ข On-site

$100.40K - $137.50K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Lessen is the tech-enabled, end-to-end property service provider that is transforming how commercial and residential real estate services are delivered and managed at scale. Lessen's technology platform provides data-driven insights that unlock key growth opportunities for the entire real estate ecosystem-including investors, owners, managers, and service providers. The company leverages a network of over 30,000 vetted, qualified vendors (Lessen Affiliates) serving clients with over 1 million properties and completing more than 3.5 million work orders annually across an expanding range of services. Lessen, LLC is a venture-backed, privately held company with offices in Scottsdale and Chicago.ย 

The Machine Learning Engineer II role is part of the Technology Team, whichย is responsible forย providing industry-leading machine learning-based tools or processes to the Company, which provide a competitive advantage and eciency. You will work closely with cross-functional teams to build intelligent systems that solve real-world problems using machine learning, deep learning, and data science techniques.ย 
What You'll Do:
  • Design, deploy, ne-tune, and evaluate large language models (LLMs); developย eectiveย prompting strategies toย optimizeย performance for various business use cases.ย 

  • Improve data quality by cleaning the company's data and sourcing information from new data sources.ย 

  • Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools.ย 

  • Translate business problems into scalable AI/ML solutions, particularly using LLMs, in areasย 

  • such as copilot systems, intelligent voice assistants, and work order processing optimization.ย 

  • Collaborate cross-functionally with teams to develop, rene, and scale data-driven procedures and workows.ย 

  • Foster a positive team environment.ย 

  • Ensure condentiality and integrity of internal and external data.ย 

  • Perform ad-hoc projects and other duties as assigned.ย 

You Should Have:
ย 
Minimum Qualificationsย 
ย 
  • PhDย orย Master'sย degree in Math, Physics, Statistics, Computer Science, or other related eldsย 

  • 1-3 years of experience as a data scientist, working closely within a businessย 

  • Strong mathematical and statistical skillsย 

  • Programming Languages: SQL, Pythonย 

  • Understanding of ETL tools and database architectureย 

  • Familiarity withย pytorch, pandas and cloudย platform like AWS,ย Azureย and GCPย 

  • Prompt engineering experienceย 

  • Experience using a machine learning frameworkย e.g.ย scikit-learn,ย pytorchย or similarย 

  • Experience withย a statisticalย software (e.g.ย R, SAS)ย 

  • Experience with natural language processingย 

  • Advanced knowledge of Data Warehousing and BI best practicesย 

  • Experience with big data tools such as Spark, Hadoop, etc.ย 

  • Experience with Tableau or Supersetย ย 

These are the professional skills we would expect from an individual fullyย establishedย in this role.ย ย 

  • Verbal Communication - Proficientย ย 

  • Written Communication - Proficientย ย 

  • Teamwork - Advancedย 

  • Relationships - Advancedย 

  • Organizational Awareness - Advancedย 

  • Learning Agility - Advancedย ย 

  • Analysis - Advancedย ย 

  • Problem Solving - Advancedย ย 

  • Process Orientation - Advancedย 

  • Prioritization - Advancedย 

  • Customer Service - Proficientย 

  • Process Orientation - Advancedย 

  • Negotiation -ย Advancedย 

Why Lessen:
ย ย ย ย ย ย ย  Competitive compensation
ย ย ย ย ย ย ย  Health, Dental, Vision, Life, Disability options
ย ย ย ย ย ย ย  401K retirement savings plan
ย ย ย ย ย ย ย  Paid vacation, federal and floating holidays
ย ย ย ย ย ย ย  Maternity/Paternity Pay
ย ย ย ย ย ย ย  Career advancement opportunities
ย ย ย ย ย ย ย  All the tools you'll need to be successful

Lessen is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. We're looking for teammates that are enthusiastic, empathetic, curious, motivated, reliable, and will help us amplify the positive & inclusive culture we've been building.ย  Lessen is an Equal Opportunity Employer.ย  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.ย 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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