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Entry Level Data Annotation Tech Jobs in Arlington, TX

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) - Perform manual data annotation and quality assurance (QA) review for perception and VLA (Vision-Language-Action) data, including video ...

Black Box

Data Center Cabling Technician I

Plano, TX · On-site

Our entry level Data Center Cabling Technicians perform skilled infrastructure/structured cabling ... Black Box Network Services is a leading technology solutions provider dedicated to helping ...

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Entry Level Data Annotation Tech information

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$17

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

As of Sep 7, 2026, the average hourly pay for entry level data annotation tech in Arlington, TX is $17.40, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.23 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 Arlington, TX?

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

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

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

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

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

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

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

Entry Level Data Annotation Tech jobs near you

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Dallas, TX • On-site, Remote

$20/hr

Contractor

Re-posted 6 days ago

Job description

As an AI Training Specialist (Data Annotation), you'll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.
Your main responsibilities will include:
  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements
We're looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:
  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits
  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology

Apply