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Remote Data Annotation Analyst Jobs in Chicago, IL

This is a fully remote, flexible contract role. No prior AI industry experience required - just ... No prior AI or data annotation experience required Nice to Have * Prior experience with data ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Experience with data annotation, data quality, or content evaluation systems * Background in case ... Fully remote and flexible - design your schedule around your life * Freelance autonomy with the ...

Experience with data annotation, data quality, or content evaluation systems * Background in case ... Fully remote and flexible - design your schedule around your life * Freelance autonomy with the ...

Remote * Commitment : 10-40 hours/week What You'll Do * Design, oversee, and optimize data ... Lead analytical strategies that convert complex, integrated datasets into actionable insights for ...

Chemistry Masters

Chicago, IL · Remote

$25 - $33/hr

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

Remote * Commitment : 10-40 hours/week What You'll Do * Analyze realistic SOC incident and alert ... Prior involvement in AI evaluation, data annotation, or training workflows Why Join Us * Work on ...

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Remote Data Annotation Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

How much do remote data annotation analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data annotation analyst in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Annotation Analyst, and why are they important?

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.

How does a Remote Data Annotation Analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What are Remote Data Annotation Analysts?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

What are the most commonly searched types of Data Annotation Analyst jobs in Chicago, IL? The most popular types of Data Annotation Analyst jobs in Chicago, IL are:
What are popular job titles related to Remote Data Annotation Analyst jobs in Chicago, IL? For Remote Data Annotation Analyst jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation Analyst jobs in Chicago, IL look for? The top searched job categories for Remote Data Annotation Analyst jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Data Annotation Analyst jobs? Cities near Chicago, IL with the most Remote Data Annotation Analyst job openings:

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Chicago, IL • Remote

$20/hr

Full-time, Part-time

Posted 18 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