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Entry Level Data Annotation Tech Jobs in Raleigh, NC

Accenture

Data Protection, A/SA-Evergreen

Durham, NC · On-site

$84K - $100K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Accenture

Data Protection, A/SA-Evergreen

Raleigh, NC

$84K - $100K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

IBM

Associate Data Engineer 2027

Durham, NC · On-site

$14.50 - $18.75/hr

IBM's culture of internal mobility means you'll have the freedom to explore new technologies ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

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Entry Level Data Annotation Tech information

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

As of Aug 21, 2026, the average hourly pay for entry level data annotation tech in Raleigh, NC is $18.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $20.82 per hour, depending on experience, location, and employer.

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?

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 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 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.

Can I work for an entry level data annotation tech with no experience?

Entry level data annotation technician roles typically do not require prior experience, as they focus on labeling data such as images, text, or audio. Basic computer skills, attention to detail, and the ability to follow instructions are usually sufficient to start, and training is often provided on the job.

How do I get a job in data annotation?

To get a job as a data annotation technician, you should have basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Many entry-level roles do not require formal certifications, but some employers prefer candidates with knowledge of data labeling, image or text annotation, and understanding of data privacy. Applying through online job boards and demonstrating accuracy and reliability can improve your chances of securing a position.

How hard is it to get into an entry level data annotation tech?

Entry level data annotation tech roles typically require basic computer skills, attention to detail, and familiarity with data labeling tools. Most positions do not require advanced education or certifications, making them accessible to beginners, though some companies may prefer prior experience with specific software or data types.

How much does entry level data annotation tech pay?

Entry-level data annotation technicians typically earn between $12 and $20 per hour, depending on the employer and location. The role often requires basic computer skills and attention to detail, with pay rates varying based on experience and the complexity of annotation tasks.

What are the most commonly searched types of Data Annotation Tech jobs in Raleigh, NC?

The most popular types of Data Annotation Tech jobs in Raleigh, NC are:

What are popular job titles related to Entry Level Data Annotation Tech jobs in Raleigh, NC?

For Entry Level Data Annotation Tech jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Annotation Tech jobs in Raleigh, NC look for?

The top searched job categories for Entry Level Data Annotation Tech jobs in Raleigh, NC are:

Entry Level Data Annotation Tech jobs near you
Infographic showing various Entry Level Data Annotation Tech job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,098 per year, or $18.8 per hour.

Data Analyst/Python Programmer - Remote

SynergisticIT

Morrisville, NC • On-site

Other

Posted 26 days ago

Job description

Junior Data Scientist — Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunities— Contact us 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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