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Data Annotation Intern Jobs in California (NOW HIRING)

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Computer Vision Intern - Data Labeling & Annotation Type: Temporary Duration: 6 months - 12 months What You'll Gain * Exposure to the full CV pipeline, from raw data to deployed model * Mentorship ...

Computer Vision Engineer

Palo Alto, CA

$131K - $154K/yr

Computer Vision Intern - Data Labeling & Annotation Type: Temporary Duration: 6 months - 12 months What You'll Gain * Exposure to the full CV pipeline, from raw data to deployed model * Mentorship ...

Advanced annotation tools, workflow automation, and quality control systems that enable teams to ... Frontier Data Labeling Service : Specialized data labeling through Alignerr, leveraging subject ...

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 ...

Data Annotation Intern information

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.

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 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 the most commonly searched types of Data Annotation jobs in California? The most popular types of Data Annotation jobs in California are:
What job categories do people searching Data Annotation Intern jobs in California look for? The top searched job categories for Data Annotation Intern jobs in California are:
What cities in California are hiring for Data Annotation Intern jobs? Cities in California with the most Data Annotation Intern job openings:
Infographic showing various Data Annotation Intern job openings in California as of May 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person 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 24 days ago


TikTok rating

7.6

Company rating: 7.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

112th of 186 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

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