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Entry Level Data Annotation Tech Jobs in Dallas, TX

Denison Ministries

Technology Coordinator

Dallas, TX · On-site

$60K - $70K/yr

TECHNOLOGY COORDINATOR: Entry Level Position Must live in the Dallas / Fort Worth area Reports to ... Assisting with donor database operations including data imports/exports, segmentation support, and ...

POW Marketing

Be Seen First

Immediate Hire - Entry Level Sales Account Associate - Dallas

Dallas, TX · On-site

$800 - $1.2K/wk (+ commission)

... ience? No problem. We provide paid, hands-on training and promote based on performance--not ... That means leading with strategy, backing it with data, and delivering with bold, standout ...

Accenture

Data Protection, A/SA-Evergreen

Dallas, TX · 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

Irving, TX · 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.

Pwc

AI & GenAI Data Scientist - Manager

Dallas, TX · On-site

$99K - $232K/yr

Within our Technology Consulting practice, you will leverage advanced technologies and techniques ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Fort Worth, TX · On-site

$99K - $232K/yr

Within our Technology Consulting practice, you will leverage advanced technologies and techniques ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Annotation Tech information

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$26

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

As of Sep 4, 2026, the average hourly pay for entry level data annotation tech in Dallas, TX is $19.13, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $21.15 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 Dallas, TX?

The most popular types of Data Annotation Tech jobs in Dallas, TX are:

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

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

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

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

What cities near Dallas, TX are hiring for Entry Level Data Annotation Tech jobs?

Cities near Dallas, TX with the most Entry Level Data Annotation Tech job openings:

Entry Level Data Annotation Tech jobs near you
Infographic showing various Entry Level Data Annotation Tech job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,787 per year, or $19.1 per hour.

Flexible remote AI work. Your schedule. Paid weekl

Meridian.ai

Dallas, TX • On-site

Other

This job post has expired 4 days ago. Applications are no longer accepted.

Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.

 

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