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No Experience Machine Learning Data Annotation Jobs in Aurora, IL

Lessen

Machine Learning Engineer II

Chicago, IL · On-site

$108K - $136K/yr

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for ... Experience with big data tools such as Spark, Hadoop, etc. * Experience with Tableau or Superset ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

Design and deploy machine learning models to enhance trading performance across various asset ... data sources Your Skills and Experience: * PhD or Master's in Engineering, Math, Statistics ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127K - $167K/yr

... on and no abstraction layer you're not allowed to touch. If you've ever wanted to push the ... Trading experience is a bonus, not a prerequisite. Your Core Responsibilities * Architect and co ...

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

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 ...

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All JobsMachine Learning Data Annotation JobsNo Experience Machine Learning Data Annotation JobsNo Experience Machine Learning Data Annotation Jobs in Aurora, IL

No Experience Machine Learning Data Annotation information

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$37.2K

$121.7K

$194.8K

How much do no experience machine learning data annotation jobs pay per year?

As of Aug 6, 2026, the average yearly pay for no experience machine learning data annotation in Aurora, IL is $121,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What should I expect when collaborating with machine learning engineers as a data annotator with no prior experience?

As a data annotator working alongside machine learning engineers, you will play a vital role in preparing high-quality labeled data for model training. Engineers often provide clear guidelines and feedback on how to label or categorize data accurately, and they may hold regular check-ins to address questions and ensure consistency. While you may not need technical expertise, strong communication and attention to detail are essential, as your work directly impacts the performance of machine learning models. Over time, you’ll become familiar with annotation tools and may have the opportunity to take on more advanced tasks or quality assurance responsibilities.

What is a no experience machine learning data annotation job?

'No Experience Machine Learning Data Annotation' jobs are entry-level positions where individuals help label and categorize data used to train machine learning models. These roles do not require prior experience in data science or programming, making them accessible to beginners. Typical tasks may include tagging images, transcribing audio, or identifying objects in videos. These jobs are essential for improving the accuracy of AI systems and are often done remotely or on a flexible schedule.

What are the key skills and qualifications needed to thrive as a no experience machine learning data annotation specialist, and why are they important?

To succeed in a No Experience Machine Learning Data Annotation role, you need strong attention to detail, basic computer literacy, and the ability to follow precise instructions, often requiring at least a high school diploma. Familiarity with data labeling tools (like Labelbox or Supervisely) and experience with spreadsheet software are typically helpful, though many positions offer on-the-job training. Reliability, patience, and effective communication are valuable soft skills for maintaining quality and meeting deadlines. These skills ensure accurate, consistent data labeling, which is critical for training reliable machine learning models.

What is the difference between No Experience Machine Learning Data Annotation vs Data Labeling Specialist?

AspectNo Experience Machine Learning Data AnnotationData Labeling Specialist
Required CredentialsNo formal experience needed, training providedTypically similar, may require basic technical skills
Work EnvironmentRemote or office-based, repetitive tasksRemote or onsite, focused on data preparation
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, automotive, healthcare sectors
Search & Comparison IntentOften searched by beginners or entry-level job seekersCompared for skill requirements and job scope

Both roles involve labeling data for machine learning models, with minimal experience required. Data Labeling Specialists may have slightly more specialized tasks, but both are entry-level positions vital for AI development.

What are popular job titles related to No Experience Machine Learning Data Annotation jobs in Aurora, IL? For No Experience Machine Learning Data Annotation jobs in Aurora, IL, the most frequently searched job titles are:
What job categories do people searching No Experience Machine Learning Data Annotation jobs in Aurora, IL look for? The top searched job categories for No Experience Machine Learning Data Annotation jobs in Aurora, IL are:
What cities near Aurora, IL are hiring for No Experience Machine Learning Data Annotation jobs? Cities near Aurora, IL with the most No Experience Machine Learning Data Annotation job openings:
No Experience Machine Learning Data Annotation jobs near you
Infographic showing various No Experience Machine Learning Data Annotation job openings in Aurora, IL as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $121,687 per year, or $58.5 per hour.

Machine Learning Engineer II

Lessen

Chicago, IL • On-site

$108K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Lessen rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

86th of 242 rated software companies

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. 

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for 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. 
 
This is a hybrid position, Tuesday and Thursday in the office.
What You'll Do:

  • Design, deploy, ne-tune, and evaluate large language models (LLMs); develop eective prompting strategies to optimize performance for various business use cases. 

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

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

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

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

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

  • Foster a positive team environment. 

  • Ensure condentiality and integrity of internal and external data. 

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

You Should Have:
 
Minimum Qualifications 
 

  • PhD or Master's degree in Math, Physics, Statistics, Computer Science, or other related elds 

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

  • Strong mathematical and statistical skills 

  • Programming Languages: SQL, Python 

  • Understanding of ETL tools and database architecture 

  • Familiarity with pytorch, pandas and cloud platform like AWS, Azure and GCP 

  • Prompt engineering experience 

  • Experience using a machine learning framework e.g. scikit-learn, pytorch or similar 

  • Experience with a statistical software (e.g. R, SAS) 

  • Experience with natural language processing 

  • Advanced knowledge of Data Warehousing and BI best practices 

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

  • Experience with Tableau or Superset  

These are the professional skills we would expect from an individual fully established in this role.  

  • Verbal Communication - Proficient  

  • Written Communication - Proficient  

  • Teamwork - Advanced 

  • Relationships - Advanced 

  • Organizational Awareness - Advanced 

  • Learning Agility - Advanced  

  • Analysis - Advanced  

  • Problem Solving - Advanced  

  • Process Orientation - Advanced 

  • Prioritization - Advanced 

  • Customer Service - Proficient 

  • Process Orientation - Advanced 

  • Negotiation - Advanced 

$108,000 - $136,000 a year
Why Lessen:
        Competitive compensation
        Health, Dental, Vision, Life, Disability options
        401K retirement savings plan
        Paid vacation, federal and floating holidays
        Maternity/Paternity Pay
        Career advancement opportunities
        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.  Lessen is an Equal Opportunity Employer.  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. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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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