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Remote Data Labeling Jobs in Illinois (NOW HIRING)

Zapp

US Buying & Operations Manager

Chicago, IL · On-site +1

$80K - $120K/yr

NYC, SF, LA, CHI or MIA - Full-time (remote) We are looking for a hands-on US Buying & Operations ... Use demand data and sales trends to forecast, plan buys and manage inventory, minimising both ...

Vermillio

Product Manager

Chicago, IL · On-site +1

... data-driven experiences that serve both enterprise clients (major media companies, record labels ... This role will report to the Head of Product and is open to being 100% remote. Key Responsibilities ...

LOGS Legal Group LLP

Legal Assistant

Bannockburn, IL · Remote

Remote * Position status: Full Time * FLSA status: Non-Exempt (hourly) * Scheduled hours: 8:00- 4 ... Characteristics - Responsive, efficient, results orientated, data and deadline driven, problem ...

Humana

Senior Insider Threat Engineer

Chicago, IL · On-site +1

$118K - $161K/yr

Become a part of our caring community (Remote role, though selected candidate is required to live ... Working knowledge of insider threat tactics, techniques, and procedures (TTPs), including data ...

Humana

Senior Insider Threat Engineer

Chicago, IL · On-site +1

$118K - $161K/yr

Become a part of our caring community (Remote role, though selected candidate is required to live ... Working knowledge of insider threat tactics, techniques, and procedures (TTPs), including data ...

Humana

Senior Insider Threat Engineer

Chicago, IL · On-site +1

$118K - $161K/yr

Become a part of our caring community (Remote role, though selected candidate is required to live ... Working knowledge of insider threat tactics, techniques, and procedures (TTPs), including data ...

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Remote Data Labeling information

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$9

$30

$67

How much do remote data labeling jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote data labeling in Illinois is $30.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.98 and $40.71 per hour, depending on experience, location, and employer.

What are common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

What skills and qualifications are needed for remote data labeling?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What is remote data labeling?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What are the most commonly searched types of Data Labeling jobs in Illinois? The most popular types of Data Labeling jobs in Illinois are:
What are popular job titles related to Remote Data Labeling jobs in Illinois? For Remote Data Labeling jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling jobs in Illinois look for? The top searched job categories for Remote Data Labeling jobs in Illinois are:
What cities in Illinois are hiring for Remote Data Labeling jobs? Cities in Illinois with the most Remote Data Labeling job openings:
Remote Data Labeling jobs near you
Infographic showing various Remote Data Labeling job openings in Illinois as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $62,687 per year, or $30.1 per hour.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Chicago, IL • Remote

$20/hr

Contractor

Re-posted 4 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

Apply