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Entry Level Data Annotation Tech Jobs in Chicago, IL

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Entry Level Data Annotation Tech information

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$12

$19

$27

How much do entry level data annotation tech jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for entry level data annotation tech in Chicago, IL is $19.92, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $22.02 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Annotation Tech vs Entry Level Data Labeler?

AspectEntry Level Data Annotation TechEntry Level Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech-focusedRemote or on-site, tech-focused
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, autonomous vehicles

Both roles involve labeling data for AI training, requiring similar skills and environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes the technical aspect of annotation, while 'Data Labeler' is a more general term. Both are entry-level positions vital for AI development in tech industries.

What are some common challenges faced by Entry Level Data Annotation Techs, and how can they be managed?

Entry Level Data Annotation Techs often encounter challenges like maintaining focus during repetitive tasks, ensuring accuracy under tight deadlines, and adapting to evolving annotation guidelines. To manage these, it's helpful to take regular breaks, double-check your work, and actively seek feedback from supervisors. Collaborating with teammates and participating in training sessions can also improve both speed and consistency, making the work more manageable and rewarding.

What is an Entry Level Data Annotation Tech?

An Entry Level Data Annotation Tech is responsible for labeling and categorizing data, such as images, text, or audio, to help train machine learning models. This role typically involves using specialized software to accurately tag and classify data according to specific guidelines. It is a foundational position within the field of artificial intelligence and data science, requiring attention to detail and consistency. No advanced technical skills are usually required, making it a suitable entry point for those interested in AI or data-related careers.

What are the key skills and qualifications needed to thrive as an Entry Level Data Annotation Tech, and why are they important?

To thrive as an Entry Level Data Annotation Tech, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation software, data labeling platforms, and basic spreadsheet tools is typically required. Patience, consistency, and effective communication help ensure accuracy and efficient teamwork. These skills and qualities are essential for delivering high-quality labeled data that supports machine learning and AI development.
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 are popular job titles related to Entry Level Data Annotation Tech jobs in Chicago, IL? For Entry Level Data Annotation Tech jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Annotation Tech jobs in Chicago, IL look for? The top searched job categories for Entry Level Data Annotation Tech jobs in Chicago, IL are:
Entry Level Data Annotation Tech jobs near you
Infographic showing various Entry Level Data Annotation Tech job openings in Chicago, IL as of June 2026, with employment types broken down into 80% Full Time, 12% Part Time, 6% Contract, and 2% Nights. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution, with an average salary of $41,433 per year, or $19.9 per hour.
Entry Level Data Scientist/Analyst/Java full stack developer

Entry Level Data Scientist/Analyst/Java full stack developer

SynergisticIT

Chicago, IL

Full-time

Posted 21 days ago

Job description

Career Gap? Outdated Tech stack? No Interviews?

Let's Get you Hired with a Process Many job seekers assume their skills have expired simply because they've been out of the workforce or recently laid off. But the truth is, your foundation is still valuable — it just needs sharpening. Despite layoffs and market shifts, the tech industry still needs skilled developers.

The challenge is proving you're ready to contribute. Rejections can be discouraging, but they don't reflect your true potential — they reflect your preparation. Re‐entering the tech industry can feel overwhelming, especially after a layoff or career gap.

But you don't have to do it alone. SynergisticIT gives you a fast, structured path back into the field. If you've been unemployed for 3–6+ months—or longer—you've probably seen how quickly the market can change.

A career gap or an outdated tech stack can reduce callbacks, even when you have talent. Recruiters may assume your skills are outdated or your confidence is lower. But gaps don't define ability.

They simply require a strategy: refresh your stack, rebuild proof of work, and re-enter with structure. Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Client, Banking, Walmart Labs, Client, and more—often with offers between $90,000 and $154,000 depending on role and expertise. Why gaps hurt—and how to neutralize them Employers worry about currency: are your tools current?

Can you still perform? The solution is demonstrating recent, relevant work: projects, certifications, and interview readiness. JOPP helps you rebuild that proof and confidence systematically.

Current role demand (expressed with variety) SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career?

How OPT Students Can Land Tech Jobs – SynergisticIT Why programs don't fix gaps Many candidates with gaps try "one more course,” but that rarely changes outcomes. Ideal candidates for gap-to-offer support Professionals returning after layoffs or personal reasons Candidates with limited recent experience but strong potential Recent grads who never launched properly International candidates on F1/OPT with timeline pressure SynergisticIT provides guidance around STEM extension and process support for H-1B/Green Card filing once employed (as applicable through employers). Want to see credibility and event participation?

If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ A gap isn't the end of your career. It's a chapter—and you can write the next one strategically. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.

Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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