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Internship Data Annotation Analyst Jobs (NOW HIRING)

$20/hr

Data Annotation Generalist Contract Type: Hourly, Independent Contractor Location: Remote ... Analytical mindset and problem-solving skills * Ability to work independently in a remote ...

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q Analysts has a sixteen-years track record of providing managed services and we've partnered with some of ...

Q Analysts has a sixteen-years track record of providing managed services and we've partnered with ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

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Internship Data Annotation Analyst information

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How much do internship data annotation analyst jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for internship data annotation analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

How hard is it to get hired by data annotation?

Getting hired as a data annotation analyst generally requires attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Many positions are entry-level and may not require extensive experience, making the role accessible to beginners, though some jobs may prefer knowledge of specific data types or industry standards.

What is a data annotation internship?

A data annotation internship is a temporary position where interns assist in labeling and categorizing data, such as images, text, or videos, to help train machine learning models. Interns typically use annotation tools and develop skills in data quality and accuracy under supervision. This role provides practical experience in data preparation and AI development processes.

What does a data annotation analyst do?

A data annotation analyst is responsible for labeling and categorizing data, such as images, text, or videos, to prepare it for machine learning models. They use tools and follow guidelines to ensure data accuracy and consistency, which is essential for training effective AI systems.

What is the difference between Internship Data Annotation Analyst vs Data Labeling Specialist?

AspectInternship Data Annotation AnalystData Labeling Specialist
CredentialsTypically pursuing or recent graduate in related fieldRelevant certifications or experience preferred
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation companies
Industry UsageCommon in AI, machine learning, and tech industriesUsed across AI, autonomous vehicles, and healthcare sectors

The Internship Data Annotation Analyst is usually an entry-level role for students or recent graduates gaining experience in data annotation. In contrast, Data Labeling Specialists are more experienced professionals focused on accurately labeling data for AI models. Both roles are essential in AI development, but the internship provides learning opportunities, while the specialist role involves more independent work and expertise.

Does data annotation actually pay?

Data annotation analysts are typically paid for their work, with compensation varying based on the project, platform, or employer. Many companies offer hourly rates or per-task payments, and some roles may require specific skills or tools. Payment is generally reliable for those working in paid annotation jobs, especially with established platforms or companies.
What cities are hiring for Internship Data Annotation Analyst jobs? Cities with the most Internship Data Annotation Analyst job openings:
What are the most commonly searched types of Data Annotation Analyst jobs? The most popular types of Data Annotation Analyst jobs are:
What states have the most Internship Data Annotation Analyst jobs? States with the most job openings for Internship Data Annotation Analyst jobs include:
Data Annotation Quality Control Analyst

Data Annotation Quality Control Analyst

Enabled Intelligence

Saint Louis, MO โ€ข On-site

$23/hr

Full-time

Posted 21 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.โ€ฏ 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.โ€ฏโ€ฏโ€ฏโ€ฏ

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!โ€ฏ 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!โ€ฏโ€ฏ

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 guidelinesโ€ฏ
  • 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.



Job Posted by ApplicantPro