ZipRecruiter

Log In

2

Entry Level Data Annotation Tech Jobs (NOW HIRING)

Socket.dev

Data Annotation Analyst

San Francisco, CA · On-site

$71 - $89/hr

We believe the next great technology companies will not only transform information, but the ... Upload prioritized image data for labeling * Create and track metrics for labelers * Iterate on ...

New

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Support the development of autonomous mining machines by executing manual data annotation, sensor data fusion, and rigorous QA review, creating high-quality datasets for advanced AI models ...

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 ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) Main Responsibilities: - Execute manual data annotation and rigorous QA review for perception (video, images, sensor data) and VLA (Vision ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Perception annotation: video, images, machine sensor data that describe objects, 3D, trajectory, etc VLA annotation: task, action, intent, chain of causation, outcomes Build the brain behind the ...

previous page

Showing results 41-60

All JobsBusiness JobsBusiness Services JobsData Entry Clerk JobsEntry Level Data Annotation Tech Jobs

Entry Level Data Annotation Tech information

See salary details

$11

$19

$26

How much do entry level data annotation tech jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entry level data annotation tech in the United States is $19.34, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.39 per hour, depending on experience, location, and employer.

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?

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 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 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.

Can I work for an entry level data annotation tech with no experience?

Entry level data annotation technician roles typically do not require prior experience, as they focus on labeling data such as images, text, or audio. Basic computer skills, attention to detail, and the ability to follow instructions are usually sufficient to start, and training is often provided on the job.

How do I get a job in data annotation?

To get a job as a data annotation technician, you should have basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Many entry-level roles do not require formal certifications, but some employers prefer candidates with knowledge of data labeling, image or text annotation, and understanding of data privacy. Applying through online job boards and demonstrating accuracy and reliability can improve your chances of securing a position.

How hard is it to get into an entry level data annotation tech?

Entry level data annotation tech roles typically require basic computer skills, attention to detail, and familiarity with data labeling tools. Most positions do not require advanced education or certifications, making them accessible to beginners, though some companies may prefer prior experience with specific software or data types.

How much does entry level data annotation tech pay?

Entry-level data annotation technicians typically earn between $12 and $20 per hour, depending on the employer and location. The role often requires basic computer skills and attention to detail, with pay rates varying based on experience and the complexity of annotation tasks.
More about Entry Level Data Annotation Tech jobs

What cities are hiring for Entry Level Data Annotation Tech jobs?

Cities with the most Entry Level Data Annotation Tech job openings:

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

The most popular types of Data Annotation Tech jobs are:

What states have the most Entry Level Data Annotation Tech jobs?

States with the most job openings for Entry Level Data Annotation Tech jobs include:

What job categories do people searching Entry Level Data Annotation Tech jobs look for?

The top searched job categories for Entry Level Data Annotation Tech jobs are:

Entry Level Data Annotation Tech jobs near you
Infographic showing various Entry Level Data Annotation Tech job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $40,220 per year, or $19.3 per hour.

Data Annotation Quality Control Analyst- St. Louis

Enabled Intelligence

Saint Louis, MO

Full-time

Re-posted 26 days ago

Job description

Data Annotation

Quality Control Analyst

About Enabled Intelligence, Inc.

Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.

At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved! If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for!

Data Annotation Quality Control Analyst

Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. Accuracy of the data used to train AI models is one of the biggest factors in the effectiveness of the AI performance. As a member of the Enabled Intelligence Quality Control team, your role is to help ensure our clients receive the highest quality of data. You will review data such as geospatial imagery (EO, RGB, IR, SAR), Full Motion Video, and types of documents that have been annotated to identify and correct errors such as missed objects, miss-classifications and false positives. You will be responsible for recognizing patterns and sharing this analysis with project managers and the director of Quality Delivery. Joining our team means playing an integral role for the future of government AI/ML capabilities.

Responsibilities

  • Use advanced analytic tools to review data (EO, RGB, IR, SAR, FMV) that has been annotated to identify and correct errors such as missed objects, miss-classifications and false positives
  • Diligently track and analyze patterns of errors and keep Project Managers and the Director of Quality Delivery up to date
  • Process project data according to established procedures and guidelines
  • Provide feedback and ideas on process improvements or concerns that may impact project performance

Required Qualifications and Skills

  • Strong computer skills including proficiency in Excel and PowerPoint
  • Strong analytical skills, visual spatial recognition, pattern recognition and attention to detail
  • Ability to follow directions and meet deadlines
  • Ability to communicate reliably
  • Ability to be a team player and work with individuals with different communication, learning and working styles
  • Ability to work independently including managing your schedule, attending all required meetings and completing projects within a deadline
  • Ability to work out of the Enabled Intelligence office located in St. Louis, MO Monday-Friday during normal business hours
  • Must be a US Citizen

Desired Qualifications and Skills

  • Previous imagery-based Data Annotation or feature extraction experience including EO, RGB, IR, SAR and/or FMV
  • Previous Data Annotation Quality Control experience
  • Ability to answer project questions and provide one on one performance feedback to Data Annotators
  • Prior experience with business productivity tools like Microsoft Office, and/or Slack
  • Highschool Degree

Physical Requirements

Prolonged periods of sitting at a desk and working on a computer

Background Check & Security Clearance

Applicants selected will be subject to background investigation and must meet requirements for employment.


Apply