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Data Annotation Intern Jobs (NOW HIRING)

Avala AI, Inc

Product Designer

San Francisco, CA · On-site

Unlike traditional crowdsourcing or data annotation, Avala dynamically orchestrates digital ... If an intern has the best idea you will take it and implement it. If you are wrong in an assumption ...

Avala

Product Designer

San Francisco, CA · On-site

Unlike traditional crowdsourcing or data annotation, Avala dynamically orchestrates digital ... If an intern has the best idea you will take it and implement it. If you are wrong in an assumption ...

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Data Annotation Intern information

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$42

How much do data annotation intern jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for data annotation intern 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.

What are the key skills and qualifications needed to thrive as a Data Annotation Intern, and why are they important?

To thrive as a Data Annotation Intern, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a background in computer science or related fields. Familiarity with annotation tools like Labelbox, Supervisely, or CVAT and understanding of data formats such as JSON or XML are typically required. Effective communication, time management, and the ability to follow complex guidelines are important soft skills for this role. These skills ensure high-quality, consistent data labeling, which is crucial for training accurate machine learning models.

What are some common challenges faced by Data Annotation Interns and how can they be overcome?

Data Annotation Interns often encounter challenges such as maintaining consistency and accuracy when labeling large volumes of data, especially when guidelines evolve or when dealing with ambiguous cases. To overcome these challenges, it's important to frequently review annotation guidelines, communicate proactively with supervisors or team members for clarification, and participate in regular quality checks. Collaborating with experienced annotators and leveraging feedback provided during peer reviews can also help interns improve their accuracy and efficiency.

What are Data Annotation Interns?

Data Annotation Interns are entry-level professionals who assist in labeling and categorizing data, such as images, audio, or text, to help train machine learning models. Their work is crucial for ensuring that AI systems can accurately interpret and process various types of data. Interns typically use specialized software tools to annotate data according to specific guidelines, and they may also help with data quality checks. This position is ideal for those interested in gaining experience in artificial intelligence, data science, or related fields.

What is the difference between Data Annotation Intern vs Data Labeling Specialist?

AspectData Annotation InternData Labeling Specialist
CredentialsTypically pursuing or recent graduate in related fieldRelevant experience or certifications in data labeling
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation projects
Industry UsageCommon in tech, AI, and machine learning industriesUsed across similar industries for data preparation
Job FocusLearning and assisting with data annotation tasksPerforming detailed data labeling and quality control

While both roles involve working with data annotation, a Data Annotation Intern is typically a beginner or student gaining experience, whereas a Data Labeling Specialist is a more experienced professional focused on precise data labeling tasks. Interns often work under supervision, while specialists handle independent projects.

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Data Annotation Intern jobs near you
Infographic showing various Data Annotation Intern job openings in the United States as of May 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Robotics & Physical AI Intern, Summer 2026 (Teradyne, North Reading, MA)

Robotics & Physical AI Intern, Summer 2026 (Teradyne, North Reading, MA)

Teradyne

North Reading, MA • On-site

$17.50 - $22.75/hr

Other

Posted 7 days ago

Job description

We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together, Teradyne companies deliver manufacturing automation across industries and applications around the world!

We attract, develop, and retain a high-performance workforce, comprised of people with diverse backgrounds and a shared drive for excellence. We strive to foster a positive and inclusive work environment that helps employees, and communities, thrive.

Our Purpose  
TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supportedto innovate and learn something new every day. 
We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.

 

Opportunity Overview

AtTeradyne, our Cooperative Education and Internship program is designed to deliver meaningful, fast paced and real-life work experiences that are relevant to your career and academic goals. Our program offers practical work experience in a business environment, with the opportunity to contribute and add value to the organization. 

We're looking for a practical, hands-on Robotics & Physical AI Intern to join our AI Partnerships team in North Reading for Summer 2026.

You'll work at the intersection of real robot hardware and modern physical AI workflows-building experimental setups, collecting high-quality robot data, and running baseline model training pipelines that support our strategic AI partnerships.

This is a robotics-first role: you will spend significant time working directly with hardware in the lab, while also using Linux and Python tools to transform raw data into training-ready datasets and initiate model training and evaluation runs.

You will contribute directly to real-world robotics deployments and data generation efforts that power next-generation industrial AI systems.

Responsibilities:

  • Hands-on robotics & lab execution
  • Mechanically assemble, modify, and maintain robotic workcells, including fixturing, mounting, cable management, and end-effector integration
  • Bring up, test, and troubleshoot sensors and robot subsystems, including basic calibration and validation of repeatability
  • Execute structured robot data-collection runs using defined protocols and scripts
  • Maintain clean, reproducible lab environments and experimental setups
  • Data pipelines & physical AI workflows
  • Use Linux and Python to ingest, clean, synchronize, and package multimodal robot datasets (images, video, robot state, timestamps)
  • Develop simple tools for dataset validation, QA, and visualization
  • Prepare datasets for training workflows, including formatting, filtering, and basic annotation support
  • Launch and monitor model training and evaluation jobs using provided pipelines and tools
  • Collaboration & documentation
  • Work closely with robotics and AI engineers to debug issues and improve data collection workflows
  • Document experimental setups, procedures, datasets, and results to ensure reproducibility
  • Contribute to continuous improvement of lab processes and tooling

All About You
We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you're ready to join us in this mission, take a closer look at the minimum criteria for the position.

What We're Looking For (Minimum Qualifications)

  • Currently pursuing a BS or MS in Robotics, Mechanical Engineering, Electrical Engineering,
  • Computer Science, or related field
  • Strong hands-on mechanical skills (experience with assembly, tools, hardware integration, or lab systems)
  • Comfortable working in Linux environments (CLI, file systems, basic troubleshooting)
  • Strong Python programming skills for scripting and data processing
  • Strong problem-solving skills with a practical, execution-focused mindset
  • Ability to work independently in a lab environment while collaborating with a broader team

Preferred Qualifications

  • Familiarity with ROS2 or robotics software frameworks
  • Exposure to machine learning frameworks such as PyTorch or TensorFlow
  • Experience working with sensors, cameras, or data collection system
  • Experience with dataset handling, labeling, or data engineering workflow
  • Familiarity with Docker or basic MLOps practice
  • Interest in robot manipulation, perception, or autonomy problems

What You'll Gain

  • Real-world experience working with industrial robotic systems
  • Exposure to the intersection of robotics and modern AI systems
  • Mentorship from experienced robotics and AI engineers
  • Hands-on contributions to production-relevant robotics and data generation projects
  • A strong portfolio of practical robotics and AI work

 

 

We are only considering candidates local to position location and are unable to provide relocation for this position.

 

This position is not eligible for visa sponsorship.

 

Compensation:
The base hourly range for this role is $25.50-$47.00. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location.

 

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