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Entry Level Data Annotation Tech Jobs in Dallas, TX

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 ...

Dhalite Inc.

Entry Level Business Analyst

Dallas, TX · On-site

Onsite/Hybrid Experience Level: Entry-Level to 1 Year We are seeking a motivated Entry-Level ... Systems, IT, Data Analytics, Business Analytics, Statistics, or a related field · 0-2 years of ...

New

QXO

Specialist, Event Coordinator

Coppell, TX

The company's mission is to modernize the building products industry through advanced technology ... Familiarity with SCORM/xAPI terms, evaluation basics (Kirkpatrick Levels 1-2), and entry-level data ...

QXO

Specialist, Event Coordinator

Coppell, TX · On-site

The company's mission is to modernize the building products industry through advanced technology ... Familiarity with SCORM/xAPI terms, evaluation basics (Kirkpatrick Levels 1-2), and entry-level data ...

Hawk Group

Data Analyst

Fort Worth, TX · On-site

$26 - $36/hr

We are united by a common mission: to deliver services and technology that fundamentally change how ... We are seeking a motivated and detail-oriented entry-level Land, Regulatory & Engineering Analyst ...

Phoenix Energy One, LLC

Land Data Entry Clerk

Dallas, TX · On-site

$50K - $60K/yr

The Data Entry Clerk position is an entry-level role responsible for accurately entering and ... The company is headquartered in the Denver Tech Center with satellite offices in Casper, WY, Irvine ...

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Entry Level Data Annotation Tech information

See Dallas, TX salary details

$11

$19

$26

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

As of Jul 24, 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 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 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 July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $39,787 per year, or $19.1 per hour.

AI Trainer - Freelance Data Annotator

Mindrift - Data annotation

Dallas, TX • Remote

$23/hr

Part-time

Posted 11 days ago

Job description

Please submit your resume in English and indicate your level of English.

At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.

What we do

The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.

About the Role

Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.

Responsibilities:

  • Carefully review provided data (text, images, or videos)
  • Label or classify content based on project guidelines
  • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material

Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities.

Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $23 per hour equivalent.

Requirements

  • Bachelor's degree in any discipline
  • Minimum 1 year of experience in any professional role
  • Advanced level of English (C1 or higher), both written and spoken
  • Logical thinking, fact-checking and reasoning abilities
  • Strong attention to detail and ability to understand and follow complex instructions
  • Strong communication skills, including the ability to ask clarifying questions when needed
  • Genuine interest in technology and artificial intelligence

Benefits

Why this freelance opportunity might be a great fit for you?

  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
  • Work on advanced AI projects and gain valuable experience that enhances your portfolio.
  • Influence how future AI models understand and communicate in your field of expertise.

Apply