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Data Annotation Tech Jobs in Richmond, VA (NOW HIRING)

Sr. Java Developer

Richmond, VA

$56.75 - $72.25/hr

Company Description Ask IT Consulting Inc. visualizes itself as a leader in IT services and ... Develop and maintain system documentation, including technical specifications, data mapping ...

... technology, and user experience . In this role you will be responsible to manage the software ... Ensure smooth data handling between frontend and backend through efficient API integration.

Data Annotation Tech information

See Richmond, VA salary details

$12

$22

$34

How much do data annotation tech jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data annotation tech in Richmond, VA is $22.61, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $26.88 per hour, depending on experience, location, and employer.

What is a data annotation tech?

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 does a data annotation tech do?

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

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 are the most commonly searched types of Data Annotation Tech jobs in Richmond, VA?

The most popular types of Data Annotation Tech jobs in Richmond, VA are:

What are popular job titles related to Data Annotation Tech jobs in Richmond, VA?

For Data Annotation Tech jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech jobs in Richmond, VA look for?

The top searched job categories for Data Annotation Tech jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Data Annotation Tech jobs?

Cities near Richmond, VA with the most Data Annotation Tech job openings:

Infographic showing various Data Annotation Tech job openings in Richmond, VA as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $47,020 per year, or $22.6 per hour.

Flexible remote AI work. Your schedule. Paid weekly, straight to your bank account.

Meridian.ai

Mechanicsville, VA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.