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Data Annotation Tech Jobs in Plano, TX (NOW HIRING)

Hands-on expertise with end-to-end pipelines involving data ingestion, annotation, simulation ... Technology skills: * Strong expertise evaluating, customizing, and deploying perception and action ...

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.

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.

... tech platform serving global English-speaking markets. You will standardize job titles, map ... classification, data validation, or data labeling/annotation; - Strong analytical skills ...

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Data Annotation Tech information

See Plano, TX salary details

$11

$21

$33

How much do data annotation tech jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data annotation tech in Plano, TX is $21.86, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $26.01 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Annotation Tech position, and why are they important?

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a typical day look like for a Data Annotation Tech?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

What is a Data Annotation Tech job?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What are popular job titles related to Data Annotation Tech jobs in Plano, TX? For Data Annotation Tech jobs in Plano, TX, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech jobs in Plano, TX look for? The top searched job categories for Data Annotation Tech jobs in Plano, TX are:
What cities near Plano, TX are hiring for Data Annotation Tech jobs? Cities near Plano, TX with the most Data Annotation Tech job openings:
Infographic showing various Data Annotation Tech job openings in Plano, TX as of July 2026, with employment types broken down into 2% Locum Tenens, 35% Full Time, 25% Part Time, 2% Contract, 35% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $45,473 per year, or $21.9 per hour.

AI Trainer - Freelance Data Annotator

Mindrift - Data annotation

Dallas, TX • Remote

$23/hr

Part-time

Posted 13 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.