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No Experience Machine Learning Data Annotation Jobs in Aurora, IL

Varsity Tutors

Data Science Tutor

Dekalb, IL · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Wheaton, IL · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Schaumburg, IL · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Naperville, IL · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Chicago, IL · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/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 ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/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 ...

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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

See Aurora, IL salary details

$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.

Engineer I, Machine Learning Ops CBM Lab

Shirley Ryan AbilityLab

Chicago, IL • On-site

$60K - $99K/yr

Full-time

Posted 11 days ago

Shirley Ryan AbilityLab rating

6.7

Company rating: 6.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you'll be part of our life-changing mission and vision. You'll contribute to an innovative, multifaceted culture that is second to none - one that embraces collaboration, excellence, discovery and compassion. You'll play a role in something that's never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes - as we Advance Human Ability, together.
Job Description Summary
The Machine Learning Ops Engineer I, under direct supervision, will assist in the development, deployment, and management of machine learning models, toolboxes and systems. This role involves collaborating with data scientists and software engineers to facilitate the implementation of artificial intelligence (AI) and machine learning (ML) solutions in production environments.
The Machine Learning Ops Engineer I will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute.
The Machine Learning Ops Engineer I will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, and Commitment to Excellence) while fulfilling job duties.
Job Description
The Machine Learning Ops will:
  • Participate in a team to deploy and monitor machine learning models, ensuring their stability and reliability.
  • Review, organize and curate data as directed. Implements and tests machine learning algorithms as directed.
  • Assist in the development and maintenance of continuous integration and delivery pipelines for machine learning systems.
  • Contribute to the automation of model training and deployment processes.
  • Assist with the management of machine learning infrastructure and resources.
  • Support the team in implementing best practices for machine learning operations.
  • Help in troubleshooting and resolving issues in deployed machine learning models.
  • Participate in maintaining a safe and secure computing environment in compliance with organizational policies and procedures.
  • Participate in maintaining a safe work environment through adherence to policies and procedures relative to safety, fire prevention, hazard communications, security, equipment use and maintenance, infection control and vehicle safety.
  • Perform all other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab.

Reporting Relationships:
  • Reports directly to a designated engineering manager.

Knowledge, Skills & Abilities Required:
  • A foundational level of knowledge in computer science, engineering, data science, or related field, generally acquired through the completion of a Bachelor's Degree.
  • Basic understanding of machine learning concepts and workflows.
  • Familiarity with version control systems, preferably Git, is required.
  • Basic understanding of Git commands and workflows (e.g., commit, push, pull, merge, branch) is expected.
  • Familiarity with programming languages like Python and tools like TensorFlow or PyTorch.
  • Ability to work under supervision on assigned tasks.
  • Good communication skills and the ability to work well in a collaborative environment.
  • Entry level position with no previous professional experience.
  • Learns to use professional concepts while working on projects of limited scope.
  • Normally receives detailed instructions on all work.
  • Able to take direction and complete defined tasks in support of engineering team.
  • Able to apply institute policies and procedures to resolve routine issues.
  • Able to follow standard practices and procedures in analyzing situations or data from which answers can be readily obtained.
  • Able to build stable working relationships with multidisciplinary team.

Working Conditions
  • Normal office environment with little or no exposure to dust or extreme temperature.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
Pay and Benefits*:
Pay Range:
$60,000.00 - $99,700.00
Benefits:
Shirley Ryan AbilityLab offers a comprehensive benefits program that is competitive with our industry peers in our geographic locations: https://www.sralab.org/benefits
*Benefits and benefits' eligibility can vary by position. Actual compensation will be determined by equity and qualifications of the role.
Equal Employment Opportunity Employer
Shirley Ryan AbilityLab is an Equal Employment Opportunity Employer. All applicants will be afforded equal employment opportunity without discrimination because of race, color, religion, sex, marital status, national origin or ancestry, citizenship status, age, disability, sexual orientation, gender identity, genetic information, military status, order of protection status, unfavorable discharge from military service, or any other characteristics protected by law.
EEO is the Law | EEO is the Law - Know Your Rights | View our Full Policy
Shirley Ryan AbilityLab is an Affirmative Action Employer as required by law.

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