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Intern Data Annotation Tech Jobs (NOW HIRING)

Socket.dev

Data Annotation Analyst

San Francisco, CA · On-site

$71 - $89/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

Apex Systems

AI Data Annotation Specialist

Boca Raton, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job#: 3044449 AI Data Annotation Specialist Location: Boca Raton, Florida or Irving, Texas Hybrid ... Everforth Apex is a world-class IT services company that serves thousands of clients across the ...

ATOMS Careers page

Data Annotation Analyst

San Francisco, CA · On-site

$71K - $89K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

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 ...

Encord

Human Data Operations Strategist

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Oversee data annotation projects, translating complex AI and machine learning requirements into ... or technology companies * Proven ability to own complex, multi-stakeholder workflows end-to-end ...

Encord

Human Data Operations Strategist

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Oversee data annotation projects, translating complex AI and machine learning requirements into ... technology companies * Proven ability to own complex, multi-stakeholder workflows end-to-end ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Oversee data annotation projects, translating complex AI and machine learning requirements into ... technology companies * Proven ability to own complex, multi-stakeholder workflows end-to-end ...

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 ...

Optimum

Intern - Data Engineer

Long Island City, NY · On-site

$35/hr

If you are tech-savvy, data-driven, client focused, and solutions oriented this brand is for you ... The Intern will work closely with Data Engineering and Data Analytics teams to help ingest, process ...

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Intern Data Annotation Tech information

What is an intern data annotation tech?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as an intern data annotation tech?

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.

What are some common challenges faced by intern data annotation techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

Can I do data annotation with no experience?

Intern Data Annotation Tech roles often do not require prior experience, as training is typically provided to teach skills like image or text labeling using annotation tools. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data quality standards can improve job performance over time.

Does data annotation tech actually pay?

Data annotation technicians are paid for their work, with wages typically ranging from minimum wage to higher rates depending on experience, complexity of tasks, and the employer. Payment is usually hourly or per task, and some roles may require basic skills in data labeling tools or software. Compensation varies by company and location but generally provides a reliable income for entry-level positions.

Is it hard to get hired for data annotation?

Getting hired as a data annotation intern typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, making the application process relatively accessible for beginners. However, competition can vary depending on the company and location.
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Intern Data Annotation Tech jobs near you
Infographic showing various Intern 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.

Data Annotation Quality Control Analyst- St. Louis

Enabled Intelligence

Saint Louis, MO

Full-time

Re-posted 25 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