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Intern Data Annotation Tech Jobs in New York (NOW HIRING)

Data Scientist Intern -- Concord AdviceSummary Concord Advice is a dynamic fintech company ... We design and implement innovative technology solutions, including CRM platforms, underwriting ...

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit.

New

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit.

New

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit.

New

Manage incoming calls and emails related to IT support requests, ensuring accurate intake and ... Maintain and update internal documentation and service systems with accurate, actionable data.

IT Intern

Kearny, NJ · On-site

$20/hr

We are looking for a motivated, tech-savvy IT Intern to join our IT team. In this role, you will ... Ability to handle sensitive company data with discretion and maintain confidentiality. Company ...

Showing results 41-60

Intern Data Annotation Tech information

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. The hiring process is often straightforward, with many companies offering entry-level positions that do not require extensive experience or certifications.

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.

Does data annotation tech actually pay?

Data annotation technicians are paid for their work, with wages varying based on experience, project complexity, and platform. Many entry-level roles pay hourly or per task, and some companies offer full-time or freelance opportunities with competitive rates. Skills in annotation tools and attention to detail can influence earning potential.

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.

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.

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 literacy 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 performance in this role.

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 the most commonly searched types of Data Annotation Tech jobs in New York?

The most popular types of Data Annotation Tech jobs in New York are:

What are popular job titles related to Intern Data Annotation Tech jobs in New York?

For Intern Data Annotation Tech jobs in New York, the most frequently searched job titles are:

What job categories do people searching Intern Data Annotation Tech jobs in New York look for?

The top searched job categories for Intern Data Annotation Tech jobs in New York are:

Infographic showing various Intern Data Annotation Tech job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analyst, Emerging Talent Intern (Fall)

New York City Transit

New York, NY • On-site

Internship

This job post has expired today. Applications are no longer accepted.


New York City Transit Authority rating

7.5

Company rating: 7.5 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

514th of 846 rated public administrative organizations


Job description

Department:                     Department of Subways 

Location:                          130 Livingston Street, Brooklyn, 11201

Position Title:                   Data Analyst, Emerging Talent Intern

Hourly Rate:                    $19.00 (Undergraduate)

All internship positions are onsite and require regular, in-person attendance at the designated work location.

OVERVIEW OF DEPARTMENT:

The Power Department is responsible for maintaining and managing the electrical and third rail systems that supply traction power to the New York City Transit network. It ensures safe, reliable, and continuous electrical service for train operations across the system. The Electrical oversee substations, cable systems, and maintenance, while the Third Rail focuses on maintaining and upgrading the third rail used to power trains. Together, these divisions handle critical repairs, capital projects, and emergency responses to sustain system reliability.

This assignment directly supports the MTA's mission to improve operational efficiency, safety, and service reliability. By developing automation tools, applications, and business intelligence solutions, the intern's work helps modernize workflows, reduce manual processes, and enhance data visibility across the Power Department. 

RESPONSIBILITIES:

  • Perform administrative tasks assigned by management to support daily departmental operations.
  • Assist in creating and updating Standard Operating Procedures and departmental manuals as directed.
  • Develop automation processes using Microsoft Power Automate to streamline workflows and improve efficiency.
  • Design and maintain interactive dashboards in Power Bl to visual1ize key performance metrics and operational data.
  • Assist in creating and managing database applications to support departmental data needs.
  • Analyze, clean, and format data in Excel or other applications to ensure data accuracy and consistency.
  • Troubleshoot and resolve data-related issues in coordination with management and system operators.
  • Assist in record retention and storage of important departmental documents and take notes during department meetings for documentation purposes.

PROJECTS:

  • Automation Development Project
  • Data Visualization Project
  • SharePoint Optimization Project

REQUIRED QUALIFICATIONS:

  • Proficiency in Microsoft Office Suite is a must.
  • The candidate should possess organizational, analytical and communication skills. 
  • The candidate should be able to work well under pressure and prioritize tasks effectively.
  • The candidate should have a keen eye for detail and be able to work independently while being an active team player.

REQUIRED EDUCATION:

  • Matriculated in an undergraduate program in good standing with at least 2.5 GPA.
  • Major(s) Preferred: Information Technology, or related field.

 All applicants must be authorized to work in the United States at the time of application. Students’ transcript must be submitted.

Equal Employment Opportunity

MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.


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