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Entry Level Data Annotation Tech Jobs (NOW HIRING)

Revature

Entry Level Data Engineer

Arizona City, AZ

$115.30K - $138.40K/yr

Revature has started more than 15,000 tech careers , providing comprehensive training to prepare ... As an Entry-Level Data Engineer at Revature, you will gain: Benefits of Working as a Data Engineer:

Encord

Human Data Solutions Engineer

San Francisco, CA · On-site

... data annotation workflows. Responsibilities : • Partner with Account Executives to lead the ... AI/technology operations, or customer-facing technical roles (Solutions Engineering, Technical ...

Genesis10

Entry Level Data Engineer

Indianapolis, IN · On-site

$100.40K - $120.60K/yr

Genesis10 is a company offering a pathway for individuals to break into the tech industry through immersive training in Data Engineering. The role of Entry Level Data Engineer involves gaining real ...

Tech Consulting

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Data Scientist

Tampa, FL · On-site

$35 - $42/hr

We are looking for a motivated Entry-Level Data Scientist to join our team. You will analyze data, build predictive models, and generate insights to support business decisions. Entry-Level Data ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

Key job responsibilities • Work closely with our product, technology, and science teams to support Machine Learning (ML) models • Perform data annotation required to train and evaluate ML models ...

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

As of May 30, 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 are the key skills and qualifications needed to thrive as an Entry Level Data Annotation Tech, and why are they important?

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 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 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.

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Entry Level Data Annotation Tech jobs near you

Data Annotation Specialist - Computer Vision & Video Labeling

Wealth Recruitment, LLC

San Francisco, CA

$20 - $40/hr

Contractor

Posted 15 days ago

Job description

Are you highly detail-oriented with the ability to stay focused through complex visual tasks? We're seeking a Data Annotation Specialist to support cutting-edge computer vision and autonomous systems development by labeling and reviewing large-scale image and video datasets. In this role, your work will directly improve the quality of machine learning models used in advanced perception systems.

This is an excellent opportunity for candidates with experience in computer vision annotation, robotics, aviation, maritime operations, drone systems, military intelligence analysis, or sensor-based technologies who enjoy analytical, high-focus work in a fast-paced technical environment.

As a Data Annotation Specialist, you will:
  • Perform high-volume image and video labeling using internal proprietary annotation tools
  • Review visual datasets across multiple sensor and data types
  • Identify, document, and flag model failure cases to support machine learning improvements
  • Maintain strong labeling accuracy while meeting throughput and productivity targets
  • Track progress across large datasets and ensure consistent performance
  • Follow established annotation guidelines and escalate unclear or edge-case scenarios when needed
  • Work closely with technical teams to support rapid model development cycles

Requirements

Ideal Background

We're especially interested in candidates with backgrounds in:

  • Maritime operations
  • Drone/UAS operations
  • Aviation or aircraft systems
  • Military intelligence, ISR, or sensor analysis
  • Robotics or autonomous systems
  • Computer vision or video annotation environments
Required Qualifications
  • Must be a U.S. Citizen (required for CUI eligibility)
  • Experience with computer vision labeling, robotics annotation, or video/image analysis
  • Strong attention to detail and ability to maintain focus during repetitive visual review tasks
  • Comfortable working in proprietary internal software platforms
  • Ability to consistently balance speed and accuracy in a production environment
  • Strong pattern recognition and analytical skills
  • Reliable internet connection and ability to work independently

Benefits

Schedule
  • 20-30 hours per week initially while current project backlog is addressed
  • Hours may adjust based on project needs and performance

Pay Rate = $20 - $40 per hour

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