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Annotation Tech Jobs in Chicago, IL (NOW HIRING)

TSMG

AI/ML Data Contributor

Chicago, IL · On-site

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 ...

TSMG

AI/ML Data Contributor

Chicago, IL

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 ...

Alignerr

Data Scientist (Masters)

Chicago, IL · Remote

... technologies (Spark, Hadoop), or NLP * Able to communicate complex algorithmic concepts and ... No prior AI or data annotation experience required Nice to Have * Prior experience with data ...

Varsity Tutors

High School Reading Tutor

Evanston, IL · Remote

$40/hr

Skilled at teaching close reading, annotation, and analytical response construction for complex ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Varsity Tutors

High School Reading Tutor

Oak Lawn, IL · Remote

$40/hr

Skilled at teaching close reading, annotation, and analytical response construction for complex ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Varsity Tutors

High School Reading Tutor

Skokie, IL · Remote

$40/hr

Skilled at teaching close reading, annotation, and analytical response construction for complex ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Varsity Tutors

High School Reading Tutor

Wheaton, IL · Remote

$40/hr

Skilled at teaching close reading, annotation, and analytical response construction for complex ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Varsity Tutors

High School Reading Tutor

Chicago, IL · Remote

$40/hr

Skilled at teaching close reading, annotation, and analytical response construction for complex ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Alignerr

Digital Health Strategist

Chicago, IL · Remote

$35 - $75/hr

Develop and execute strategic plans to adopt and scale digital health technologies such as ... Prior experience with data annotation, data quality, or evaluation systems Why Join Us:

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Annotation Tech information

What are the key skills and qualifications needed to thrive as an Annotation Tech, and why are they important?

To thrive as an Annotation Tech, you need strong attention to detail, data labeling proficiency, and familiarity with data annotation guidelines, often supported by a background in computer science or related fields. Experience with annotation platforms such as Labelbox, Supervisely, or CVAT, and sometimes knowledge of basic scripting or data formats like JSON and XML, is typically required. Excellent communication, problem-solving skills, and the ability to follow complex instructions set top performers apart. These skills ensure high-quality, accurate data labeling that directly impacts the effectiveness of machine learning models.

What are some common challenges faced by Annotation Techs when working with large datasets?

Annotation Techs often work with large and diverse datasets, which can present challenges such as maintaining consistency and accuracy across annotations, especially when dealing with ambiguous or complex data. Additionally, the repetitive nature of the work can lead to fatigue, making it important to stay focused and adhere to established guidelines. Collaboration with data scientists and project managers is crucial to clarify requirements and address any uncertainties, ensuring that the annotated data meets project standards and deadlines.

What are Annotation Techs?

Annotation Techs, short for Annotation Technicians, are professionals who label, categorize, and tag data—such as images, text, or audio—to help train machine learning models. Their work is critical in fields like artificial intelligence, where high-quality, accurately labeled data is needed to teach algorithms how to recognize patterns and make decisions. Annotation Techs may use specialized software tools to identify objects in images, transcribe speech, or classify pieces of text. Attention to detail and consistency are key skills in this role, as errors or inconsistencies can affect the performance of AI systems. These professionals often work in teams and may collaborate with data scientists and engineers to ensure data quality.

What is the difference between Annotation Tech vs Data Labeler?

AspectAnnotation TechData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsHigh school diploma or equivalent; minimal certifications needed
Work EnvironmentOffice or remote; using specialized annotation toolsOffice or remote; using basic labeling software
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, data preparation

Annotation Tech and Data Labeler roles often overlap in data preparation for AI projects. Annotation Tech typically involves more specialized tools and may require some technical knowledge, whereas Data Labelers focus on basic labeling tasks. Both roles are essential in training AI systems, but Annotation Tech positions often demand a deeper understanding of annotation processes and tools.

What are popular job titles related to Annotation Tech jobs in Chicago, IL? For Annotation Tech jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Annotation Tech jobs in Chicago, IL look for? The top searched job categories for Annotation Tech jobs in Chicago, IL are:
Annotation Tech jobs near you

AI/ML Data Contributor

TSMG

Chicago, IL • On-site

Full-time

Posted 5 days ago

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.