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Part Time Ai Data Annotation Jobs in California (NOW HIRING)

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Knowledge of AI engineering * Databricks, Tableau, or Power BI Certification Clearance: Applicants ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

San Diego, CA · On-site

$61K - $141K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

... train advanced AI models. Our Robotics team develops scalable data collection and annotation ... Coordinate work with a part-time contractor when needed. Ensure deliverables are completed on time ...

CA

$25/hr

Learnmoreatlxt.ai. Job Summary We are hiring part-time Retail Data Collection Associates to conduct in-store data collection across multiple retail locations within a designated territory. This is a ...

Electrical Engineer I (SD)

San Diego, CA · On-site

$81K - $122K/yr

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Electrical Engineer I (SD)

San Diego, CA · On-site

$81K - $122K/yr

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

We serve as the pre-sales data scientists to scope use cases, establish credibility with enterprise ... In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total ...

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Part Time Ai Data Annotation information

What is the difference between Part Time Ai Data Annotation vs Data Labeler?

AspectPart Time Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Search IntentPart Time Ai Data Annotation vs Data Labeler

Part Time Ai Data Annotation involves labeling data specifically for training AI models, often requiring understanding of data types like images, text, or audio. Data Labelers perform similar tasks but may have broader roles in data categorization. Both roles are similar in credentials and work environment, primarily serving AI and tech industries. The main difference lies in terminology and specific job descriptions, but they often overlap in responsibilities and skills.

What are the key skills and qualifications needed to thrive as a Part Time AI Data Annotation specialist, and why are they important?

To thrive as a Part Time AI Data Annotation specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with annotation platforms, data labeling tools, and sometimes workflow management systems is important for efficiency. Strong organizational skills, reliability, and the ability to follow precise instructions make someone stand out in this position. These skills ensure high-quality, accurate labeled data, which is critical for training effective AI models.

What is a Part Time AI Data Annotation job?

A Part Time AI Data Annotation job involves labeling, categorizing, or tagging data—such as images, text, or audio—to help train artificial intelligence and machine learning models. Annotators review raw data and apply guidelines to ensure AI systems learn to recognize patterns accurately. These roles are often flexible, can be done remotely, and require attention to detail and consistency. It's a great entry-level position for those interested in AI and technology, even without a technical background.

What are some common challenges faced by part-time AI data annotators, and how can they be managed?

Part-time AI data annotators often encounter challenges such as maintaining accuracy while working with repetitive tasks and managing time effectively alongside other commitments. Annotators may also face ambiguity in data or unclear labeling instructions. To address these challenges, it's important to ask clarifying questions, take regular breaks to maintain focus, and stay updated on annotation guidelines. Many teams provide support channels and regular training sessions to help annotators improve their skills and ensure consistency.
What are the most commonly searched types of Ai Data Annotation jobs in California? The most popular types of Ai Data Annotation jobs in California are:
What are popular job titles related to Part Time Ai Data Annotation jobs in California? For Part Time Ai Data Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Part Time Ai Data Annotation jobs in California look for? The top searched job categories for Part Time Ai Data Annotation jobs in California are:
What cities in California are hiring for Part Time Ai Data Annotation jobs? Cities in California with the most Part Time Ai Data Annotation job openings:
Infographic showing various Part Time Ai Data Annotation job openings in California as of July 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Office-based Video Data Contributor (Part-time)

Office-based Video Data Contributor (Part-time)

Workstream

Menlo Park, CA • On-site

$20/hr

Part-time

Re-posted 23 days ago


Job description

Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive.
Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.
In addition to our core business, Workstream is home to a small, fast-moving Robotics team focused on advancing the next generation of artificial intelligence and robotics. We partner with a leading AI and robotics company to produce high-quality, large-scale egocentric (first-person) video datasets that help train advanced AI models.
Our Robotics team develops scalable data collection and annotation pipelines that enable the efficient creation of high-quality training datasets, helping AI systems better understand human actions, environments, and everyday interactions. We're also building a new category of connected hardware designed to operate reliably throughout the day in thousands of homes and businesses. By combining cutting-edge data collection, automation, and hardware innovation, this team is helping shape the future of intelligent systems and real-world AI applications.
About the Role
We're hiring contractors to participate in structured recording and data collection sessions that support our artificial intelligence, robotics, machine learning, and research initiatives. In this role, you'll help us capture real-world human activities, object interactions, food preparation, movement patterns, and task-oriented workflows across a variety of controlled or simulated environments - including office, retail, residential-style, kitchen, storage, workshop, laboratory, and tabletop settings.
Most sessions take place at our main office, but you may occasionally be dispatched to nearby filming locations as projects require.
Compensation
  • $20 per hour, paid for all approved hours worked
  • Pre-approved travel expenses reimbursed for nearby-location sessions

Schedule & Participation
  • Typical recording sessions run two (2) to four (4) hours
  • Standard session windows:
    • Monday-Friday, 10:00 AM - 2:00 PM
    • Monday-Friday, 2:00 PM - 6:00 PM
  • Scheduling is flexible and based on project availability and operational needs
  • Consistent weekly participation is strongly preferred
  • Additional session opportunities may be offered based on reliability, availability, operational needs, and project demand

What You'll Do
Participate in guided task sessions, which may include:
  • Object handling, manipulation, sorting, and organizing
  • Cleaning, wiping, and surface care
  • Packaging, unpackaging, assembly, and disassembly
  • Carrying, lifting, and repositioning objects
  • Movement-based and tabletop manipulation workflows
  • Simulated workplace, operational, or household activities

**Tasks vary based on project needs, environment, and equipment setup.**
Perform food preparation activities in residential- or commercial-style kitchen settings, including:
  • Washing, peeling, trimming, and inspecting fresh produce
  • Cutting, chopping, slicing, dicing, and mincing ingredients with standard kitchen knives
  • Measuring, weighing, and portioning per provided recipes
  • Mixing, stirring, whisking, folding, and kneading by hand or with handheld tools
  • Operating small kitchen appliances (blenders, food processors, stand mixers, toasters, kettles, microwaves, coffee makers) under safe-use conditions
  • Stovetop, oven, and other heat-based cooking when expressly permitted by session instructions
  • Plating, garnishing, portioning, and arranging food for service or photography
  • Packaging prepared food and beverages for storage or transport
  • Setting tables, serving food, and clearing dishware
  • Washing, drying, sanitizing, and storing kitchen tools and surfaces
  • Stocking and rotating pantry, refrigerator, and kitchen storage
  • Disposing of food waste and recyclables per site procedures

Participate in recording sessions while wearing or operating lightweight equipment such as:
  • Head-, chest-, and wrist-mounted cameras
  • Motion capture devices
  • Audio capture equipment
  • Environmental or sensor-based recording devices

You may also be asked to:
  • Start, stop, and verify recording status and quality
  • Reposition or adjust assigned equipment
  • Help with basic equipment prep, charging, calibration, storage, and reset
  • Participate in prototype, workflow, or equipment trials
  • Identify and communicate technical issues, usability concerns, or operational inconsistencies
  • Provide feedback on recording workflows, task clarity, equipment comfort, and session experience
  • Assist onsite staff with basic debugging, troubleshooting, or validation when requested

Support operational workflows by:
  • Following session instructions from project coordinators and onsite staff
  • Staying engaged and attentive throughout active recording periods
  • Communicating clearly about operational or technical issues
  • Sharing feedback on workflow clarity, equipment usability, and session procedures

Travel to nearby filming locations as needed, which may include local retail spaces, residential-style settings, partner-operated environments, kitchens, workshops, or other pre-approved venues within reasonable travel distance of the main office. When dispatched, you'll:
  • Confirm the location assignment and reporting time in advance
  • Arrive on time and ready to begin
  • Follow all site-specific access, safety, and conduct procedures
  • Transport assigned equipment with care and return it to the Company afterward
  • Limit recording to pre-approved areas and individuals
  • Promptly report any incident, safety concern, or operational issue

Travel time, expense reimbursement, and any additional terms will be communicated in advance of each dispatch. You may decline a specific nearby-location assignment without penalty, subject to performance and participation standards.
Who You Are
  • Comfort performing a wide range of physical tasks, including kitchen and food preparation work
  • Willingness to wear lightweight recording equipment for extended periods
  • Strong attention to detail and ability to follow structured instructions
  • Reliability, punctuality, and clear communication
  • Flexibility to participate in varied environments and task types
  • Ability to provide constructive feedback on workflows and equipment

Who Can Apply
We welcome people from all backgrounds. If you're reliable, comfortable on camera, and looking for flexible, hands-on work, we encourage you to apply-even if you're not sure you meet every requirement.
As a general requirement, please complete this form: https://forms.gle/G6AcJWLDvbtM8sJh8
Know More About Workstream
  • https://www.workstream.us/blog/funding-series-b
  • https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/
  • https://techbuzz.news/buzzworthy-august-27-2021/

Additional Information
Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We are committed to the full inclusion of all qualified individuals.