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Urgently Hiring Data Annotation Tech Jobs (NOW HIRING)

TEKsystems

Data Annotation Specialist

Seattle, WA · Remote

$20/hr

As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ... We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing ...

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How much do urgently hiring data annotation tech jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for urgently hiring data annotation tech in the United States is $22.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Annotation Technician, and why are they important?

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 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.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that vary depending on experience, location, and the complexity of tasks. Entry-level roles may pay minimum wage or slightly above, while experienced annotators working with specialized tools or large datasets can earn higher rates. Compensation is often supplemented by flexible schedules and remote work options.

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.

How long does it take to get hired at data annotation tech?

The hiring process for a data annotation technician typically takes from a few days to a few weeks, depending on the company's screening procedures, the applicant's experience, and the completion of any required assessments or training. Fast hiring may occur for roles with urgent needs or when candidates meet all requirements promptly.

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.

Is it easy to get into data annotation tech?

Data annotation tech roles typically require basic computer skills and attention to detail. Many positions are entry-level and do not require advanced education, making it accessible for beginners; familiarity with annotation tools and understanding of data labeling standards can improve chances of hiring.

Is data annotation tech hiring now?

Data annotation technician roles are currently in demand as companies seek to improve machine learning models. These jobs often require attention to detail, familiarity with annotation tools, and sometimes basic knowledge of AI or data labeling standards. Opportunities are available in various industries including tech, healthcare, and autonomous vehicle development.
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Urgently Hiring Data Annotation Tech jobs near you
Infographic showing various Urgently Hiring Data Annotation Tech job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 23% Full Time, 28% Part Time, 1% Contract, 44% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Chicago, IL • Remote

$20/hr

Full-time, Part-time

Re-posted 13 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