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Annotation Analyst Jobs in Illinois (NOW HIRING)

Zebra Technologies

AI Quality Analyst

Lincolnshire, IL · On-site

This includes performing data annotation and validation to ensure the integrity of our ground-truth ... Analyze and synthesize test results into clear, actionable reports for both technical and non ...

AgileEngine

Taxonomy Analyst ID76178

Irving, IL · On-site

... labeling/annotation; - Strong analytical skills, exceptional attention to detail, and sharp pattern recognition abilities; - Proven experience reviewing, processing, and navigating high-volume ...

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All JobsAnnotation Analyst JobsAnnotation Analyst Jobs in Illinois

Annotation Analyst information

See Illinois salary details

$30K

$71K

$126K

How much do annotation analyst jobs pay per year?

As of Jul 16, 2026, the average yearly pay for annotation analyst in Illinois is $70,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,900.00 and $84,300.00 per year, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of an Annotation Analyst?

As an Annotation Analyst, your daily responsibilities generally include reviewing and labeling large volumes of data—such as images, text, or audio—according to predefined guidelines or project requirements. You may also participate in quality control processes, address edge cases or ambiguities in the data, and collaborate with project managers, data scientists, or other analysts to ensure consistency and accuracy. Additionally, you might provide feedback on annotation tools or contribute to refining categorization criteria. The role often involves both independent work and teamwork within a fast-paced, detail-oriented environment, where precision is essential for supporting training and evaluation of AI or machine learning models.

Is an annotation analyst a good job?

An annotation analyst is a role that involves labeling data to train machine learning models, often requiring attention to detail and familiarity with annotation tools. The job can offer flexible schedules and remote work options but may involve repetitive tasks and lower pay compared to other tech roles. Its suitability depends on individual preferences for data work and career goals.

What does an annotation analyst do?

An annotation analyst is responsible for labeling and categorizing data, such as images, text, or videos, to help train machine learning models. They use specialized tools and follow guidelines to ensure data accuracy and consistency, often working in a team environment with quality control measures.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, depending on the company and location. While some positions offer flexible schedules and remote work, the pay generally remains modest compared to other tech roles, and advanced skills or certifications can lead to higher compensation.

What are the key skills and qualifications needed to thrive in the Annotation Analyst position, and why are they important?

To thrive as an Annotation Analyst, you need exceptional attention to detail, analytical thinking, and proficiency in data labeling or linguistic annotation, often supported by a relevant degree such as linguistics or computer science. Familiarity with annotation tools and platforms (like Labelbox, Prodigy, or proprietary systems) and knowledge of data privacy standards are highly beneficial. Strong communication, collaboration, and time management skills help in working efficiently with multidisciplinary teams and meeting project deadlines. These qualities are crucial for producing high-quality, accurate datasets that directly impact the success of machine learning and AI initiatives.

What is an Annotation Analyst job?

An Annotation Analyst is responsible for labeling and categorizing data, such as text, images, audio, or video, to help improve machine learning models and AI systems. They follow specific guidelines to ensure accuracy and consistency in annotations. This role often involves reviewing, analyzing, and correcting data to enhance AI algorithms' performance. Annotation Analysts typically work with teams developing natural language processing (NLP), computer vision, or speech recognition technologies. Strong attention to detail and familiarity with industry tools are key skills for success in this role.

What qualifications do you need to be a data annotator?

To be a data annotator, typically a high school diploma or equivalent is required, along with strong attention to detail and basic computer skills. Familiarity with annotation tools and the ability to follow guidelines accurately are also important for success in this role.
What are the most commonly searched types of Annotation Analyst jobs in Illinois? The most popular types of Annotation Analyst jobs in Illinois are:
What are popular job titles related to Annotation Analyst jobs in Illinois? For Annotation Analyst jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Annotation Analyst jobs in Illinois look for? The top searched job categories for Annotation Analyst jobs in Illinois are:
Annotation Analyst jobs near you
Infographic showing various Annotation Analyst job openings in Illinois as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 88% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $70,992 per year, or $34.1 per hour.
Croatian Speech & Voice AI Analyst

Croatian Speech & Voice AI Analyst

Welo Data

Chicago, IL • On-site

Full-time

Posted 28 days ago

Job description

Job Summary:
Welo Data is looking for detail-oriented individuals to join their team as Croatian Speech & Voice AI Analysts, supporting speech and voice AI systems. The role focuses on executing high-volume data labeling and annotation tasks, ensuring accuracy and consistency in datasets that power AI systems.
Responsibilities:
• Execute high-volume data labeling and annotation tasks across speech and voice datasets
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
• Work with audio and language data, including transcription, categorization, and tagging
• Maintain strong throughput while meeting quality expectations
• Escalate unclear or ambiguous cases appropriately
• Adapt to evolving guidelines and workflows as systems and requirements change
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions
Qualifications:
Required:
• Native-level fluency in Croatian
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
• Ability to follow detailed instructions and apply guidelines consistently
• High attention to detail and ability to maintain accuracy in repetitive tasks
• Comfort working in structured, process-driven environments
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalate when needed
Preferred:
• Basic familiarity with AI, speech technology, or language data is a plus
Company:
With 27+ years of experience, Welo Data is the human-centered infrastructure for globally effective AI. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.

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