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Intern Data Annotation Tech Jobs (NOW HIRING)

Cyborg Mobile

Data & AI Program Manager

Redmond, WA · On-site +1

About the Role We're hiring a Data & AI Program Manager to support a Fortune 100 technology company ... Design judgment guidelines and instructions for data annotation, validation, and quality control

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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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Infographic showing various Intern Data Annotation Tech job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Annotation Team Supervisor - St. Louis

Saint Louis, MO • On-site

Enabled Intelligence
11 - 50 employees
Learn more about Enabled Intelligenceexternal

$55K - $60K/yr

Full-time

Posted 16 days ago

Job description

Data Annotation Team Supervisor
Location: St. Louis, MO
Enabled Intelligence
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 Supervisor
At Enabled Intelligence we believe in the value of investing in our people. By providing individualized, hands-on support to our diverse workforce, we have been able to create a superpowered team. The Data Annotation Supervisor is a critical piece of what makes our team so successful. Each supervisor is responsible for the day-to-day management of up to 20 Data Annotators including insuring team members are following company policies and have the support and Resouces they need to be successful at their job. 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!
Responsibilities
  • Ownership of your team member's performance metrics including weekly review of metrics and development of performance remediation plans to help team member improve by collaborating with Project Managers, the Quality Team and Training Team
  • Ensure that your team members have the resources they need to be successful including provide job coaching and guidance on individual performance, job efficiency, professional skill development, time management, professional communication skills, teamwork, and inter-employee interaction
  • Facilitate and support performance feedback discussions when a team member is not following a policy, is having behavioral issues or is having performance issues on a project
  • Ensure that your team members are following all Enabled Intelligence polices and procedures
  • Documentation of all performance or behavioral issues
  • Track punctuality and attendance
  • Review and approve time off requests
  • Monitor and audit timecards to ensure annotators are billing their time correctly
  • Advocate for your Data Annotator team members by connecting them with the appropriate resource if they need workplace accommodations, additional assistance with an HR matter, technical support or help on a project
  • Collaborate with the Director of Data Annotation on what skill sets your team members have and what projects best match those skills and experience for appropriate project staffing
  • Manage annual performance reviews for each member of your team members
  • Assist with onboarding of new Data Annotators

Required Qualifications and Skills
  • Ability to take ownership, take initiative, problem solve and work independently
  • Ability to work with people with different and unique communication, learning and working styles in a people first culture
  • Ability to have difficult performance or behavioral improvement conversations with team members
  • Strong communication, presentation, collaboration and problem-solving skills
  • Strong experience with Microsoft Excell, PowerPoint and Word
  • Ability to work onsite Monday-Friday at the St. Louis Enabled Intelligence Office
  • Very occasional travel to the Falls Church, VA headquarters office.

Desired Qualifications and Skills
  • Previous supervisory or people management experience
  • Previous experience training entry level employees
  • Previous experience working with people who are Neurodivergent
  • Pervious data annotation experience
  • Previous experience working with U.S. government programs or federal contracts

Physical Requirements
  • Prolonged periods of sitting at a desk and working on a computer

Background & Security Clearance
  • Applicants selected will be subject to a standard background investigation. US security clearance is not required for this role

Work Location
  • Enabled Intelligence offices in St. Louis, MO.

Apply