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After School Data Annotation Tech Jobs in 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 ...

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 ...

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 ...

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 ...

Responsibilities Learn It Systems is looking for part-time and afterschool Title I Teachers to work ... Hand dexterity for typing and entering data into a computer At Learn It Systems, we believe it ...

Learn It Systems is looking for part-time and afterschool Title I Teachers to work in our K-8 ... Hand dexterity for typing and entering data into a computer At Learn It Systems, we believe it ...

Responsibilities Learn It Systems is looking for part-time and afterschool Title I Teachers to work ... Hand dexterity for typing and entering data into a computer At Learn It Systems, we believe it ...

Responsibilities Learn It Systems is looking for part-time and afterschool Title I Teachers to work ... Hand dexterity for typing and entering data into a computer At Learn It Systems, we believe it ...

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After School Data Annotation Tech information

See Chicago, IL salary details

$12

$23

$35

How much do after school data annotation tech jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for after school data annotation tech in Chicago, IL is $23.53, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $27.98 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an after school data annotation tech, and why are they important?

To thrive as an After School Data Annotation Tech, you need attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, spreadsheet software, and occasionally proprietary AI tools is typically required. Strong time management, communication skills, and a commitment to accuracy help individuals excel in this role. These abilities are crucial for ensuring high-quality, reliable data that supports effective machine learning model training.

What is an after school data annotation tech?

After School Data Annotation Techs are individuals, often students or part-time workers, who assist in labeling and categorizing data—such as images, audio, or text—after regular school hours. Their work helps train artificial intelligence and machine learning models by providing accurately tagged datasets. These positions are a great way for students to gain experience with technology and contribute to real-world AI projects while managing their academic responsibilities. Tasks may include identifying objects in images, transcribing audio, or classifying text according to specific criteria.

What is the difference between After School Data Annotation Tech vs Data Labeling Associate?

AspectAfter School Data Annotation TechData Labeling Associate
CredentialsHigh school diploma or equivalent; training in data annotation toolsHigh school diploma or equivalent; training in labeling software
Work EnvironmentIndoor, office or remote settings, often part-timeIndoor, office or remote settings, often part-time
Industry UsageEducation technology, AI data preparationAI, machine learning, data processing
Job FocusAnnotating data for educational projects or AI modelsLabeling data for AI training datasets

Both roles involve data annotation and labeling, often requiring similar skills and environments. The main difference lies in their specific industry focus: After School Data Annotation Tech typically works on educational or AI projects related to education, while Data Labeling Associates focus on AI and machine learning data preparation across various industries.

What are some common challenges faced by after school data annotation techs, and how can they be overcome?

After School Data Annotation Techs often encounter challenges such as maintaining high accuracy while labeling large volumes of data, staying focused during repetitive tasks, and adapting quickly to changing project guidelines. To overcome these, it's helpful to develop strong attention to detail, take regular short breaks to avoid fatigue, and actively communicate with supervisors when clarification is needed. Collaborating with teammates and participating in team check-ins can also help ensure consistency and provide support for troubleshooting difficult cases.

What are the most commonly searched types of Data Annotation Tech jobs in Chicago, IL?

The most popular types of Data Annotation Tech jobs in Chicago, IL are:

What job categories do people searching After School Data Annotation Tech jobs in Chicago, IL look for?

The top searched job categories for After School Data Annotation Tech jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for After School Data Annotation Tech jobs?

Cities near Chicago, IL with the most After School Data Annotation Tech job openings:

Infographic showing various After School Data Annotation Tech job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $48,945 per year, or $23.5 per hour.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Chicago, IL • Remote

$20/hr

Full-time, Part-time

Re-posted 5 days ago


Job description

As an AI Training Specialist (Data Annotation), you’ll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We’re looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology