1

Internship Ai Annotation Jobs (NOW HIRING)

Be Seen First

... AI team as it expands global field data collection capabilities. This role will help design and ... annotation, operations, program management, or a related field (internships included)

Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation ... internships, or substantial project experience in computer vision, robotics, or embodied AI.

Sr. CV/ML Scientist

San Diego, CA · On-site

$150K - $180K/yr

Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation ... internships, or substantial project experience in computer vision, robotics, or embodied AI.

... in data collection, data annotation, or related analytical/operational roles (internships ... Interest in AI/ML technologies, data-driven solutions, and a passion for operational excellence and ...

next page

Showing results 1-20

Internship Ai Annotation information

What are the typical responsibilities of an AI Annotation Intern, and how do they contribute to the overall AI development process?

As an AI Annotation Intern, your primary responsibility is to label and categorize large sets of data—such as images, text, or audio—which are crucial for training and improving machine learning models. You'll work closely with data scientists, machine learning engineers, and other annotators to ensure accuracy and consistency in the datasets. This role often involves using specialized annotation tools, reviewing outputs, and flagging ambiguous data. Your work is vital for building high-quality AI systems, and you'll gain valuable insights into how annotated data directly impacts model performance and decision-making. Additionally, interns often have opportunities to learn about the end-to-end AI development process and may progress into more advanced roles with experience.

What is the difference between Internship Ai Annotation vs Data Labeler?

AspectInternship Ai AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentOffice or remote; collaborative with AI/tech teamsOffice or remote; focused on data preparation tasks
Industry UsageAI development, machine learning projectsData management, AI training datasets
Search & Comparison IntentUnderstanding roles in AI data annotationSimilar data labeling roles in AI projects

Internship Ai Annotation typically involves entry-level tasks in AI data annotation, often as part of an internship program, focusing on labeling data for machine learning models. Data Labelers perform similar tasks but may not be part of an internship and often work on larger datasets. Both roles require basic technical skills and are essential in AI development, but internships usually offer training and career development opportunities.

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

To thrive as an AI Annotation Intern, you need attention to detail, basic data analysis skills, and familiarity with data labeling concepts, usually supported by coursework in computer science or related fields. Experience with annotation tools like Labelbox, Supervisely, or CVAT, as well as understanding of data privacy protocols, is highly valuable. Strong communication, time management, and the ability to follow complex guidelines help you excel in this position. Mastering these skills ensures high-quality, accurate datasets that are critical for training reliable AI models.

What is an AI Annotation Intern?

An AI Annotation Intern is someone who helps train artificial intelligence models by labeling and categorizing data, such as images, text, or audio. This process, known as data annotation, is crucial for improving the accuracy of machine learning algorithms. Interns typically work under supervision to ensure the data is correctly tagged according to specific guidelines. The role provides hands-on experience in the field of AI and machine learning, often requiring attention to detail and familiarity with annotation tools.
More about Internship Ai Annotation jobs
What cities are hiring for Internship Ai Annotation jobs? Cities with the most Internship Ai Annotation job openings:
What are the most commonly searched types of Ai Annotation jobs? The most popular types of Ai Annotation jobs are:
What states have the most Internship Ai Annotation jobs? States with the most job openings for Internship Ai Annotation jobs include:
Infographic showing various Internship Ai Annotation job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.
Data Science Operations Project Intern (Business Integrity Data Cycling Center) - 2026 Start (BS/MS)

Data Science Operations Project Intern (Business Integrity Data Cycling Center) - 2026 Start (BS/MS)

TikTok

San Jose, CA • On-site

$35 - $55/hr

Internship

Medical, Life

Posted 6 days ago


TikTok rating

7.6

Company rating: 7.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

116th of 191 rated software companies


Job description

Responsibilities
Team Introduction: The GMPT-BI-DCC Data Science team supports ByteDance's global business and intelligent operations ecosystem through advanced analytics, AI systems, and scalable data workflows. Our team works at the intersection of Data Science, AI Operations, Agentic AI systems, and business intelligence to improve operational efficiency and enable intelligent decision-making across large-scale global products. We are looking for highly motivated interns who are passionate about data, AI applications, and operational excellence to join our fast-paced and collaborative international team. As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests. Applications will be reviewed on a rolling basis - we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period. Responsibilities: 1. Support complex business and operational scenarios by building and optimizing data workflows, analytics pipelines, and operational monitoring systems to improve efficiency and scalability; 2. Explore and implement Agent-based AI workflows, prompt engineering strategies, and LLM-powered analytics solutions to support intelligent business operations and data-driven decision-making; 3. Participate in end-to-end AI operational projects, including data collection, annotation workflow optimization, model evaluation, experimentation, and deployment support; 4. Analyze operational and quality metrics to identify trends, root causes, and optimization opportunities across AI/data pipelines; 5. Collaborate cross-functionally with Data Scientists, Product Managers, Engineering, Operations, and global stakeholders in a highly collaborative English-speaking environment.
Qualifications
Minimum Qualifications: - Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Statistics, Mathematics, Data Science, Artificial Intelligence, Engineering, or related quantitative fields; - Proficiency in SQL and experience with Python or R for data analysis, automation, or modeling; - Familiarity with Excel, data analytics workflows, and large-scale data processing tools such as Hive or Spark; - Strong analytical thinking, attention to detail, and problem-solving skills, with the ability to collaborate effectively in cross-functional environments. Preferred Qualifications: - Prior internship or project experience in data science, analytics, AI operations, business intelligence, or technical program/project management; - Familiarity with machine learning concepts, LLMs, prompt engineering, Agent workflows, or AI evaluation methodologies; - Experience with experimentation, operational analytics, quality measurement, or annotation/labeling workflows is a plus; - Comfortable working in a cross-functional and multicultural global environment; - Available to work at least 4 days per week for 3+ months. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
Job Information
[For Pay Transparency]Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $35- $55.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

What TikTok employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom