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Full Time Data Annotation Tech Jobs in Illinois (NOW HIRING)

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

This is a full-time opportunity suited for professionals with extensive experience in banking or ... A technical deep-dive on your financial expertise and data annotation experience A take-home ...

Chemistry Masters

Chicago, IL · Remote

$25 - $33/hr

No prior AI or data annotation experience required Nice to Have * Experience with data annotation ... science and technology * Fully remote and flexible - work on your own schedule, from anywhere

... most consequential technology developments of our time. No prior AI experience needed ... Experience with data annotation, data quality, or content evaluation systems * Background in case ...

Sr. Data Engineer

Chicago, IL

$118K - $141.60K/yr

Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data integrations using AWS technology stack as part of the team's Data as a Service portfolio for Adobe ...

Principal Data & AI Engineer

Chicago, IL · On-site

$118K - $141.60K/yr

Adobe Customer Solutions is looking for a full time Data & AI Engineer with experience in building data integrations using AWS technology stack as part of the team's Data as a Service portfolio for ...

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141.60K/yr

Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data integrations using AWS technology stack as part of the team's Data as a Service portfolio for Adobe ...

Employee We are hiring full-time Data Center Hardware Technician to work in Downers Grove, IL. Data ... Rack and stack equipment and IT hardware in a corporate Data Center. Troubleshoot and support ...

Leveraging advances in genomics technologies, we have made seminal discoveries that elucidate the ... Builds and implements computational workflows for data quality control, annotation, and downstream ...

Leveraging advances in genomics technologies, we have made seminal discoveries that elucidate the ... Builds and implements computational workflows for data quality control, annotation, and downstream ...

ML Data Platform Engineer

Tremont, IL · On-site +1

$65K - $130K/yr

Develop tools & processes to select the most impactful data for annotation. * Design and implement ... Ability to design and implement internal tools and dashboards, selecting appropriate technologies ...

ML Data Platform Engineer

Tremont, IL · On-site

$65K - $130K/yr

Develop tools & processes to select the most impactful data for annotation. * Design and implement ... Ability to design and implement internal tools and dashboards, selecting appropriate technologies ...

Big Data Hadoop Technology Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

We are looking for a candidate working on Big Data Technologies, who has * Extensive experience in ... Note:- * This is a Full-Time & Permanent job opportunity for you. * Only US Citizen , Green Card ...

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Full Time Data Annotation Tech information

What are the key skills and qualifications needed to thrive as a Full Time Data Annotation Tech, and why are they important?

To thrive as a Full Time Data Annotation Tech, you need strong attention to detail, basic data management skills, and familiarity with data labeling practices, typically supported by a high school diploma or equivalent. Experience with annotation tools (such as Labelbox, Supervisely, or similar platforms) and basic proficiency in spreadsheet or database systems are commonly required. Reliability, consistency, and effective communication are crucial soft skills for quality assurance and collaboration with data teams. These skills and qualities are essential to ensure the accuracy and efficiency of annotated datasets, which directly impact the performance of machine learning models.

How does a Full Time Data Annotation Tech typically collaborate with data scientists and engineers on projects?

As a Full Time Data Annotation Tech, you will regularly work alongside data scientists and engineers to ensure the accuracy and quality of labeled datasets used for machine learning models. Collaboration often involves attending project meetings to clarify annotation guidelines, providing feedback on ambiguous data cases, and updating annotation processes based on team input. Clear communication is essential, as your work directly impacts model performance and downstream analytics. This team-oriented environment fosters learning and provides insight into broader AI development workflows.

What are Full Time Data Annotation Techs?

Full Time Data Annotation Techs are professionals responsible for labeling and categorizing data used to train machine learning models. They examine various types of data, such as images, text, or audio, and apply specific tags or annotations according to project guidelines. Their work is essential in ensuring the accuracy of artificial intelligence systems by providing high-quality, structured datasets. Full-time positions typically involve working standard business hours and may require familiarity with specialized annotation tools and attention to detail.

What is the difference between Full Time Data Annotation Tech vs Data Labeling Specialist?

AspectFull Time Data Annotation TechData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with training in labeling tools
Work EnvironmentOffice or remote, collaborative teamsRemote or on-site, focused on labeling tasks
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, healthcare
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI accuracy

Both roles involve data annotation and labeling, often requiring similar skills and working environments. The main difference lies in job titles used by employers and the scope of responsibilities, with 'Full Time Data Annotation Tech' emphasizing a broader technical role, while 'Data Labeling Specialist' may focus more on specific labeling tasks.

What are the most commonly searched types of Data Annotation Tech jobs in Illinois? The most popular types of Data Annotation Tech jobs in Illinois are:
What are popular job titles related to Full Time Data Annotation Tech jobs in Illinois? For Full Time Data Annotation Tech jobs in Illinois, the most frequently searched job titles are:
What cities in Illinois are hiring for Full Time Data Annotation Tech jobs? Cities in Illinois with the most Full Time Data Annotation Tech job openings:

AI/ML Data Contributor

TSMG

Chicago, IL • On-site

Full-time

Posted yesterday


Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
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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