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Annotation Jobs in California (NOW HIRING)

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 ...

Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...

Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...

Human Data Solutions Engineer

San Francisco, CA · On-site

$134K - $162K/yr

You'll own the full arc: leading technical discovery on demo calls, designing the annotation workflow, managing the delivery of sample datasets, and translating the results into a compelling case for ...

Human Data Solutions Engineer

San Francisco, CA · On-site

$134K - $162K/yr

You'll own the full arc: leading technical discovery on demo calls, designing the annotation workflow, managing the delivery of sample datasets, and translating the results into a compelling case for ...

CA · On-site

$26 - $29/wk

CNC Machinist II - Relocation Packages Available! (Menomonie, WI) Comrise is currently looking for a skilled CNC Machinist II to join our partner's team in Menomonie, WI , to perform intermediate to ...

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Annotation information

What is an Annotation job?

An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.

What does an annotation job do?

An annotation job involves labeling or tagging data, such as images, text, or videos, to help train machine learning models. Workers typically use specialized tools to add accurate annotations, which are essential for developing AI systems in fields like computer vision and natural language processing.

Which 5 jobs will survive AI?

Annotation jobs, which involve labeling data for machine learning, are likely to persist as they require human judgment and domain expertise. Roles such as data annotators, quality assurance specialists, and domain-specific annotators will continue to be essential, especially in areas needing nuanced understanding and accuracy. Skills in critical thinking and familiarity with annotation tools will support job stability in this field.

What are the key skills and qualifications needed to thrive in the Annotation position, and why are they important?

Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.

How much do annotators make?

Annotators typically earn between $10 and $20 per hour, depending on the complexity of the task, experience, and the employer. Many work remotely and may be paid per task or project rather than hourly, with some platforms offering bonuses for high accuracy or speed.

Is data annotation real or fake?

Data annotation is a legitimate job that involves labeling data such as images, text, or videos to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development across various industries.

What are the typical projects or tasks an Annotation specialist works on throughout the week?

Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.

What are the most commonly searched types of Annotation jobs in California? The most popular types of Annotation jobs in California are:
What job categories do people searching Annotation jobs in California look for? The top searched job categories for Annotation jobs in California are:
What cities in California are hiring for Annotation jobs? Cities in California with the most Annotation job openings:
Infographic showing various Annotation job openings in California as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution.
Data Annotation Specialist

Data Annotation Specialist

TEKsystems

Menlo Park, CA • Remote

$20/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 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.