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Entry Level Data Labeling Jobs in Chicago, IL (NOW HIRING)

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Data Labeling information

See Chicago, IL salary details

$11

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$29

How much do entry level data labeling jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for entry level data labeling in Chicago, IL is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $22.55 per hour, depending on experience, location, and employer.

What is an entry level data labeling?

An entry level data labeling job involves reviewing and tagging data—such as images, videos, text, or audio—with specific labels or categories to help train machine learning models. Data labelers follow guidelines to accurately annotate data, making it understandable for computers. This role typically requires attention to detail, basic computer skills, and the ability to follow instructions. It is often a starting point for those interested in artificial intelligence or data science fields, and may be remote or on-site depending on the company.

What are the key skills and qualifications needed to thrive as an entry level data labeling specialist?

To thrive in entry level data labeling, you need attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with data annotation platforms, spreadsheets, and sometimes simple image or audio editing tools is beneficial. Strong focus, reliability, and the ability to follow detailed instructions set outstanding candidates apart. These skills ensure labeled data is accurate and consistent, which is critical for training effective machine learning models.

What are some common challenges faced in an entry level data labeling role, and how can they be managed?

Entry level data labeling roles often involve repetitive tasks that require high attention to detail and consistency, which can sometimes lead to fatigue or decreased concentration. To manage these challenges, it's important to take regular breaks, communicate with your team about any ambiguities in the labeling guidelines, and utilize available training materials. Many companies also implement quality checks and provide feedback, which helps maintain accuracy and offers opportunities for skill development. Collaborating with peers and supervisors for clarification can make the workflow smoother and ensure high-quality labeled data.

Does entry level data labeling require any experience?

Entry level data labeling jobs typically do not require prior experience, as they often provide training on the specific tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. However, familiarity with data annotation tools can be helpful for efficiency.

How can I get started in entry level data labeling?

To start as an entry level data labeler, gain basic knowledge of data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. You can find beginner-friendly jobs on freelance platforms or company websites, and some roles may require minimal prior experience or training. Building attention to detail and familiarity with common labeling software can improve your chances of getting hired.

How much are entry level data labelers paid?

Entry level data labelers typically earn between $10 and $15 per hour, depending on the company, location, and complexity of the labeling tasks. Some positions may offer additional benefits or flexible schedules, especially for remote work or freelance opportunities.

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

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

What job categories do people searching Entry Level Data Labeling jobs in Chicago, IL look for?

The top searched job categories for Entry Level Data Labeling jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Entry Level Data Labeling jobs?

Cities near Chicago, IL with the most Entry Level Data Labeling job openings:

Infographic showing various Entry Level Data Labeling job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $41,725 per year, or $20.1 per hour.

Data Protection, A/SA-Evergreen

Accenture

Chicago, IL

$84K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services


Job description

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members to help design, implement, and operate data protection capabilities while building strong foundational skills in security, compliance, and client delivery.

What you'll do
  • Support client engagements focused on data protection, data governance, and compliance initiatives.

  • Assist with configuration and administration of Microsoft Purview capabilities (e.g., sensitivity labels/encryption, DLP policies, data classification/discovery, Insider Risk Management).

  • Participate in requirements gathering, workshops, and documentation efforts.

  • Execute assigned tasks within project plans and contribute to on-time, high-quality delivery.

  • Develop technical documentation, configuration guides, and client-ready deliverables.

  • Actively pursue learning, certifications, and hands-on experience in data protection technologies.

  • Contribute to emerging areas such as AI and agentic AI security, under guidance.

.

Qualifications

  • 2+ years of relevant experience.

  • Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent experience).

  • Exposure to Microsoft 365 or Azure environments preferred.

  • Prior internship, academic project, or entry-level experience in security or compliance is a plus.

  • Microsoft security-related certifications strongly preferred (e.g., SC-900, AB-900, AI-901).

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanadeprovidesa reasonable range of compensation for roles that may be hired as set forth below.

Weanticipatethis job posting will be posted until 8/31/2026.

Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

See more information on our benefits here:Benefits and Total Rewards | Avanade United States

Role Location Annual Salary Range

California $84,800to $100,700

Cleveland $76,000to $90,250

Colorado $76,000to $90,250

District of Columbia $88,000to $104,500

Illinois$84,800to $100,700

Maine $76,000to $90,250

Maryland $88,000to $104,500

Massachusetts $88,000to $104,500

Minnesota $84,800to $100,700

New York $92,800to $110,200

New Jersey $84,800to $100,700

Virginia $84,800to $100,700

Washington $88,000to $104,500

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