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Internship Ai Data Collection Jobs (NOW HIRING)

Welo Data

Data Collection Operator

Santa Clara, CA

$38.50/hr

In this role, you'll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models. This is ...

Posted today

Hark

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on ... About the Role You'll own data collection at Hark - the programs, the vendors, and the pipelines ...

Hark

Data Collection

San Jose, CA

$150K - $250K/yr

While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on ... About the Role You'll own data collection at Hark - the programs, the vendors, and the pipelines ...

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How much do internship ai data collection jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for internship ai data collection 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 is an internship in AI data collection?

An Internship in AI Data Collection is a temporary, entry-level position where interns assist in gathering, organizing, and labeling data used to train artificial intelligence models. Interns may work with various data types, such as images, text, or audio, and help ensure data accuracy and quality. This role is essential in the AI development process, as high-quality data is crucial for building effective AI systems. Interns also gain hands-on experience with data management tools and learn about the ethical considerations of data handling.

What types of tasks can I expect to handle during an AI data collection internship?

As an AI Data Collection intern, you will typically work on gathering, labeling, and organizing large datasets that are used to train machine learning models. Your daily responsibilities may include annotating images or text, validating data quality, and assisting with data pre-processing tasks. You may also collaborate with data scientists and engineers to ensure data accuracy and integrity, and gain exposure to tools and processes commonly used in the AI industry. This hands-on experience is valuable for understanding the foundations of AI development and can open doors to more advanced roles in data science or machine learning.

What are the key skills and qualifications needed to thrive as an internship AI data collection specialist?

To thrive in an Internship AI Data Collection role, you need strong analytical skills, attention to detail, and foundational knowledge in data management or computer science. Familiarity with data labeling tools, spreadsheets, and possibly Python or SQL is beneficial, along with any coursework or certifications in data science or AI. Strong communication, organization, and problem-solving abilities help interns efficiently collaborate and ensure data accuracy. These skills are vital for producing high-quality datasets that enable effective AI model training and development.

What is the difference between Internship Ai Data Collection vs Data Analyst Intern?

AspectInternship Ai Data CollectionData Analyst Intern
Required CredentialsBasic knowledge of AI, data collection tools, and programmingBasic statistics, Excel, and data analysis skills
Work EnvironmentData collection, labeling, and preprocessing in tech or AI companiesData analysis, reporting, and visualization in various industries
Employer & Industry UsagePrimarily in AI, machine learning, and tech startupsAcross finance, marketing, healthcare, and tech sectors

Internship Ai Data Collection focuses on gathering and preparing data for AI models, while Data Analyst Interns analyze and interpret data to support business decisions. Both roles require foundational data skills but differ in their core activities and industry applications.

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Internship Ai Data Collection jobs near you
Infographic showing various Internship Ai Data Collection 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Collection Operator

Welo Data

Santa Clara, CA

$38.50/hr

Full-time

Posted 23 hours ago

Posted today

Job description

Role Overview

We’re hiring data collection operators to support physical AI programs. In this role, you’ll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models.

This is hands-on, execution-focused work. You’ll be working with real hardware in structured environments, following defined scenarios, and helping produce the data that directly shapes how physical AI devices learn and perform.

Project Details

  • Location: 100% Onsite (Santa Clara, CA)
  • Employment: Full time W-2, 5 days/week
  • Morning Shift: 7:00 AM to 3:30 PM | $35/hour
  • Night Shift: 3:30 PM to 12:00 AM | $38.50/hour
  • Physical Commitment: Must be able to stand for several hours and carry up to 75 lbs.
  • Start Date: ASAP

Why This Role Matters

The data generated in this role directly impacts how physical AI systems learn to operate in the real world. Strong execution here leads to better, safer, and more reliable autonomous systems.

What You’ll Do

  • Operate physical AI data devices
  • Execute structured tasks (e.g., navigation, pick/place, object interaction) across different environments
  • Follow detailed instructions and adapt to evolving guidelines
  • Capture and validate data (video, sensor inputs, task logs) during operation
  • Identify and flag edge cases, failures, or unexpected system behavior
  • Maintain consistency and accuracy across repeated task runs
  • Partner with onsite teams (engineering, QA, program leads) to improve workflows
  • Support fast iteration cycles as tasks, tools, and priorities evolve 

Basic Qualifications

  • Bachelor’s degree or equivalent work experience 
  • Experience with gaming, simulation tools, or technical systems is a plus
  • Strong hand-eye coordination and spatial awareness
  • Comfortable using controllers, keyboards, or specialized interfaces for extended periods
  • Basic computer skills, including PC and Linux troubleshooting.
  • Working knowledge of MS Office and Google Drive
  • Ability to follow detailed procedures with high accuracy
  • Clear written and verbal communication skills 

Preferred Qualifications

  • Exposure to robotics, autonomous systems, drones, or simulation environments
  • Experience with teleoperation, remote control systems, or QA/testing workflows
  • Familiarity with data collection, logging, or annotation processes
  • Ability to quickly learn new software applications
  • Interest in AI, robotics, or emerging technologies
  • Experience working in structured, metrics-driven environments

Work Environment & Physical Requirements

  • Onsite lab environment (robotics lab, warehouse, or simulated real-world setup)
  • Must be able to stand for extended periods during shifts
  • Must be able to occasionally lift and/or move up to 75lbs
  • Repetitive task execution with a focus on consistency and quality
  • Fast-paced environment with frequent updates to tasks and workflows

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.