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Entry Level Data Annotation Tech Jobs in Dallas, TX

Forhyre

Prompt Engineers

Dallas, TX

We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Apply Early

SynergisticIT

Junior Data Engineer - Remote

Mesquite, TX · On-site

... Tech stack which Enterprise companies are looking for. Currently, We are looking for entry-level ... We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts ...

Pwc

Data Engineer - Senior Associate

Fort Worth, TX

$77K - $202K/yr

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

Pwc

Data Engineer - Senior Associate

Dallas, TX

$77K - $202K/yr

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

Mohawk Industries, Inc.

SALES TECHNOLOGY COORDINATOR

Dallas, TX · On-site

$17.25 - $23.75/hr

The Sales Technology Coordinator is an entry-level contributor that supports the sales operations ... Help prepare reports and graphs using data and customer feedback to highlight trends, patterns, and ...

Mohawk Industries

SALES TECHNOLOGY COORDINATOR

Dallas, TX

$17.25 - $23.75/hr

The Sales Technology Coordinator is an entry-level contributor that supports the sales operations ... Help prepare reports and graphs using data and customer feedback to highlight trends, patterns, and ...

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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 Jul 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 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:
Entry Level Data Annotation Tech jobs near you
Infographic showing various Entry Level Data Annotation Tech job openings in Dallas, TX as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $39,787 per year, or $19.1 per hour.

Prompt Engineers

Forhyre

Dallas, TX

Full-time

Posted 14 days ago

Be an early applicant

Job description

We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI.

Role Overview:

As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems.

Responsibilities:

  • Collaborate with AI researchers and developers to understand project requirements and objectives.
  • Design and create a diverse range of prompts tailored to specific AI tasks and applications.
  • Develop creative and innovative ways to generate effective prompts that improve model performance.
  • Conduct extensive research to identify and curate relevant data sources for prompt development.
  • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes.
  • Optimize and fine-tune prompts based on continuous testing and feedback from AI models.
  • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy.
  • Stay up-to-date with the latest advancements in natural language processing and AI technologies.
  • Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
  • Proven experience in working with natural language processing and AI technologies.
  • Strong understanding of AI models, algorithms, and neural networks.
  • Experience in prompt engineering, creative writing, or content creation is a plus.
  • Proficiency in programming languages such as Python or JavaScript.
  • Solid knowledge of data collection, preprocessing, and annotation for prompt development.
  • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face.
  • Strong analytical and problem-solving skills with a keen eye for detail.
  • Excellent communication and collaboration skills to work effectively in a team environment.
  • Passion for innovation and a keen interest in staying updated with the latest AI trends.

Join us in shaping the future of AI as a Prompt Engineer and be part of a dynamic team that is pushing the boundaries of what AI can achieve.