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Internship Online Data Annotation Jobs (NOW HIRING)

TEKsystems

Data Annotation Specialist

Menlo Park, CA · Remote

$20/hr

Prior experience in content moderation, data annotation, or policy enforcement roles. Technical ... online community standards. Ability to work efficiently under tight deadlines while prioritizing ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

$187K - $220K/yr

Develop online data dashboard for data tracking and analytics. Develop machine learning models to analyze the distribution of computer vision data. Develop data annotation tools with integrated ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site +1

$187K - $220K/yr

Develop online data dashboard for data tracking and analytics. Develop machine learning models to analyze the distribution of computer vision data. Develop data annotation tools with integrated ...

Arrive Logistics

Data Scientist II

Austin, TX · On-site

... online -- to assess where and why systems are underperforming and quantify the impact of ... annotation guidelines and ensuring label quality. • Evaluate and apply the appropriate approach ...

Apple

Senior Manager - AI Data Operations

Austin, TX

Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is ... Description You will lead an organization of internal domain experts, building scalable annotation ...

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Internship Online Data Annotation information

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$12

$22

$42

How much do internship online data annotation jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for internship online data annotation 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 the difference between Internship Online Data Annotation vs Data Labeling Specialist?

AspectInternship Online Data AnnotationData Labeling Specialist
CredentialsTypically students or entry-level with basic computer skillsUsually requires experience or training in data labeling tools
Work EnvironmentRemote, flexible, often part-timeRemote or on-site, depending on employer
Industry UsageCommon in AI/ML projects, tech companiesUsed in AI, autonomous vehicles, healthcare, and more

Internship Online Data Annotation roles are often entry-level, focusing on training and learning, while Data Labeling Specialists are more experienced, handling complex labeling tasks. Both roles are essential in AI development but differ in experience requirements and scope.

What are the key skills and qualifications needed to thrive as an Internship Online Data Annotation, and why are they important?

To thrive as an Internship Online Data Annotation, you generally need attention to detail, basic computer skills, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes Excel or similar spreadsheet software is typically required. Strong communication, reliability, and the ability to follow precise instructions make candidates stand out in this role. These skills ensure high-quality, accurate data labeling, which is vital for training reliable machine learning models.

What are Internship Online Data Annotation positions?

Internship Online Data Annotation positions are temporary roles, often held by students or recent graduates, where individuals label and categorize data such as images, text, or audio for use in machine learning and artificial intelligence projects. Interns work remotely or in-office to ensure data is accurately annotated according to project guidelines, helping to train and improve AI models. These internships provide hands-on experience in data management, attention to detail, and exposure to AI technologies. They are ideal for those interested in technology, data science, or AI fields, and can be a stepping stone to more advanced roles.

What types of data and tools will I typically work with during an Online Data Annotation internship?

As an Online Data Annotation intern, you'll commonly work with a variety of data types such as text, images, audio, or video, depending on the project's focus. You'll use specialized annotation platforms or software to label and categorize data accurately for use in machine learning models. Interns often collaborate with data scientists and engineers to understand project requirements and ensure high-quality outputs. Attention to detail and following precise guidelines are key challenges in this role, but you'll gain valuable exposure to real-world AI development workflows.

What is a data annotation intern?

A data annotation intern is a person who assists in labeling and categorizing data, such as images, text, or videos, to help train machine learning models. This role typically involves using annotation tools and requires attention to detail, often on a temporary or part-time basis. It provides practical experience in data preparation and AI development processes.

How much do data annotation jobs pay?

Data annotation jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Many roles are remote and may require basic skills in data labeling tools or software. Pay rates can vary based on project scope and the level of detail required in annotations.

How hard is it to get hired at data annotation?

Getting hired for an online data annotation internship typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. Many positions are entry-level and do not require extensive experience or certifications, making the application process relatively accessible for beginners.

Does data annotation actually pay you?

Data annotation jobs, including online data annotation internships, typically pay workers for their time and effort, often on an hourly or per-task basis. Payment rates vary depending on the platform, complexity of the task, and the employer, but most legitimate opportunities provide compensation for completed work. It is important to verify the payment terms before starting any data annotation work to ensure fair compensation.
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Internship Online Data Annotation jobs near you
Infographic showing various Internship Online Data Annotation job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 19% Full Time, 17% Part Time, 19% Contract, 42% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Data Annotation Specialist

Data Annotation Specialist

TEKsystems

Menlo Park, CA • Remote

$20/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Description

Core Skills & Qualifications Bachelor’s degree in Media Studies, Communications, Psychology, Law, or related field preferred. Prior experience in content moderation, data annotation, or policy enforcement roles. Technical Skills Proficiency with annotation tools and platforms. Ability to review multimedia content (text, images, video, audio). Attention to Detail High accuracy in labeling nuanced and borderline cases. Ability to follow complex guidelines and operational definitions. Critical Thinking Strong judgment in ambiguous cases. Ability to identify gaps or risks not explicitly covered by guidelines and escalate appropriately. Communication Clear written and verbal communication skills for documentation and escalation.


Skills

Data


Top Skills Details

Data


Additional Skills & Qualifications

Additional Skills & Qualifications Experience with social media platforms and understanding of online community standards. Ability to work efficiently under tight deadlines while prioritizing accuracy. Comfort with reviewing potentially disturbing or sensitive content. Commitment to upholding Meta’s values and brand safety standards


Experience Level

Intermediate Level


Job Type & Location

This is a Contract position based out of Menlo Park, CA.

Pay and Benefits

The pay range for this position is $20.00 - $20.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Jun 30, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

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