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Urgently Hiring Data Annotation Tech Jobs in Texas

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 ...

TSMG

Robot Teleoperator (AI & Robotics)

Austin, TX

Support data annotation and quality validation activities * Maintain accurate operational records ... Work directly with cutting-edge robotics technology * Gain experience in one of the fastest-growing ...

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Urgently Hiring Data Annotation Tech information

What is a data annotation tech?

A Data Annotation Tech is a professional responsible for labeling and categorizing data, such as images, text, or audio, to train artificial intelligence (AI) and machine learning models. Their work ensures that AI systems can accurately recognize patterns and make predictions by providing well-organized, high-quality datasets. Data Annotation Techs may use specialized software tools to tag objects in images, transcribe audio, or classify text according to specific guidelines. This role is essential in industries like autonomous vehicles, healthcare, and natural language processing.

What are the key skills and qualifications needed to thrive as a data annotation technician?

To thrive as a Data Annotation Technician, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation tools like Labelbox, CVAT, or Supervisely, and sometimes knowledge of data labeling guidelines, is typically required. Precision, time management, and the ability to follow instructions closely are key soft skills that set top performers apart. These competencies ensure high-quality, accurate data labeling, which is crucial for training reliable machine learning models.

What are some common challenges faced by data annotation technicians and how can they be managed?

Data Annotation Technicians often encounter challenges such as maintaining consistent accuracy when labeling large datasets, handling ambiguous or complex data, and meeting tight project deadlines. To manage these challenges, it is important to follow clear annotation guidelines, regularly communicate with project leads for clarification, and utilize quality assurance processes like peer reviews. Additionally, staying organized and breaking tasks into manageable segments can help technicians remain productive while maintaining high-quality work.

What is the difference between Urgently Hiring Data Annotation Tech vs Data Labeling Specialist?

AspectUrgently Hiring Data Annotation TechData Labeling Specialist
CredentialsBasic technical skills, training in annotation toolsSimilar technical skills, often with industry-specific knowledge
Work EnvironmentFast-paced, project-based, often remoteSimilar, with focus on precise labeling tasks
Industry UsageCommon in AI/ML development companiesUsed across AI, autonomous vehicles, healthcare sectors
Search & Comparison IntentHigh overlap, both involve data annotation tasksOften used interchangeably, but 'Data Labeling Specialist' may imply more experience or specialization

While both roles involve data annotation and labeling, the 'Urgently Hiring Data Annotation Tech' typically refers to entry-level or technical staff needed quickly for annotation projects, often in fast-paced environments. The 'Data Labeling Specialist' may denote a more experienced or specialized role, but both share similar skills and industry usage.

How to get hired for data annotation?

To get hired as a data annotation technician, build skills in attention to detail and familiarity with annotation tools like Labelbox or CVAT. Create a strong resume highlighting relevant experience, and apply to companies that outsource data labeling tasks, often offering flexible schedules and remote work options.

Is data annotation still hiring?

Data annotation roles are currently in demand as companies continue to develop AI and machine learning models. These jobs often require attention to detail and familiarity with annotation tools, and they can be available on flexible or remote schedules. The hiring trend remains steady in the industry due to ongoing AI development needs.

Is data annotation tech hard to get into?

Data annotation technician roles typically require attention to detail and basic computer skills; prior experience or certifications are not always necessary. Many positions are entry-level and offer on-the-job training, making it accessible for beginners. Familiarity with annotation tools and understanding of data labeling standards can improve job prospects.

What are the most commonly searched types of Data Annotation Tech jobs in Texas?

The most popular types of Data Annotation Tech jobs in Texas are:

What are popular job titles related to Urgently Hiring Data Annotation Tech jobs in Texas?

For Urgently Hiring Data Annotation Tech jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Urgently Hiring Data Annotation Tech jobs in Texas look for?

The top searched job categories for Urgently Hiring Data Annotation Tech jobs in Texas are:

What cities in Texas are hiring for Urgently Hiring Data Annotation Tech jobs?

Cities in Texas with the most Urgently Hiring Data Annotation Tech job openings:

Urgently Hiring Data Annotation Tech jobs near you

AI Training Specialist (Data Annotation)

Dallas, TX • On-site, Remote

Remote Talent Cloud
See more jobs at Remote Talent Cloudexternal

$20/hr

Contractor

Re-posted 9 hours 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