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Data Annotation Part Time Jobs in California (NOW HIRING)

Noble Machines, Inc

Teleoperator

Sunnyvale, CA

... Data Collection Specialist: Location: Sunnyvale, CA (On-site / Field) Job Type: Part-Time to ... Prior experience in hardware testing, quality assurance, or data annotation. Background or interest ...

Hooglee

Video Data Annotator - Contract

San Francisco, CA · On-site

$25/hr

San Francisco, On-site Compensation: $25/hour Schedule: Part-time (4-8 hours per day) Duration: 10 ... Prior data labeling or annotation experience If you're detail-oriented, comfortable working with ...

SpaceXAI

AI Tutor - Chinese

Palo Alto, CA · On-site

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

SpaceXAI

AI Tutor - Arabic

Palo Alto, CA · On-site

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

SpaceXAI

AI Tutor - Danish

Palo Alto, CA · On-site

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

All JobsData Annotation JobsData Annotation Part Time JobsData Annotation Part Time Jobs in California

Data Annotation Part Time information

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

Part-time data annotation professionals often encounter challenges such as repetitive tasks, maintaining concentration over extended periods, and understanding nuanced annotation guidelines. To manage these challenges, it's helpful to take regular short breaks, stay organized with clear labeling conventions, and communicate proactively with team leads or project managers when questions arise. Many teams also provide regular training updates and feedback sessions, which support continuous improvement and help annotators stay aligned with project requirements.

What are the key skills and qualifications needed to thrive as a data annotation part time worker?

To thrive as a Data Annotation Part Time worker, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic spreadsheet software is typically required. Reliability, focus, and the ability to follow guidelines precisely are valuable soft skills in this role. These skills ensure high-quality, consistent data labeling, which is crucial for training effective AI and machine learning models.

What is a data annotation part time job?

Data annotation part time jobs involve labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. This work can include identifying objects in photos, transcribing audio, or categorizing content. Part time positions offer flexible hours and may be remote, making them a popular choice for students or those looking to supplement their income. Attention to detail and the ability to follow guidelines are important skills for these roles.

Does data annotation actually pay?

Data annotation jobs typically pay hourly or per task rates, with wages varying based on complexity and platform. Many part-time data annotation roles offer competitive pay, often ranging from minimum wage to higher rates for specialized tasks, and may require basic skills in data labeling tools or software.

Is it hard to get hired for data annotation part time?

Getting hired for a part-time data annotation role generally depends on the company's requirements, but many positions are entry-level and do not require extensive experience. Candidates with basic computer skills and attention to detail often have good chances, and some companies may require familiarity with annotation tools or training. Competition can vary, but flexible schedules and remote work options make these roles accessible to many applicants.

What is the difference between Data Annotation Part Time vs Data Labeling Specialist?

AspectData Annotation Part TimeData Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma; attention to detail
Work EnvironmentRemote or office-based; flexible hoursRemote or office; often project-based
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Job FocusAnnotating data for training AI modelsLabeling data to improve model accuracy

Data Annotation Part Time and Data Labeling Specialist roles are similar, focusing on preparing data for AI training. The main difference lies in terminology; 'Data Annotation' emphasizes the process, while 'Data Labeling' refers to the task. Both roles typically require similar skills and work environments, making them interchangeable in many contexts.

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 are popular job titles related to Data Annotation Part Time jobs in California? For Data Annotation Part Time jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Annotation Part Time jobs in California look for? The top searched job categories for Data Annotation Part Time jobs in California are:
What cities in California are hiring for Data Annotation Part Time jobs? Cities in California with the most Data Annotation Part Time job openings:
Data Annotation Part Time jobs near you
Infographic showing various Data Annotation Part Time job openings in California as of August 2026, with employment types broken down into 100% Part Time. Highlights an 74% In-person, and 26% Remote job distribution.

Teleoperator

Noble Machines, Inc

Sunnyvale, CA

Full-time, Part-time

Re-posted 17 days ago

Job description

 Robotics Teleoperator & Data Collection Specialist:

Location: Sunnyvale, CA (On-site / Field)
Job Type: Part-Time to Full-Time (3-5 days per week, depending on candidate availability and
physical skill)

About Noble Machines:  Noble Machines (formerly Under Control Robotics) builds multipurpose robots to support human
workers in the world's toughest jobs-turning dangerous work from a necessity into a choice.
Our work demands reliability, robustness, and readiness for the unexpected-on time, every
time. We're assembling a mission-driven team focused on delivering real impact in heavy
industry, from construction and mining to energy. If you're driven to build rugged, reliable
products that solve real-world problems, we'd love to talk.

Position Overview: At Noble Machines, building and operating robots is a team sport. We are seeking skilled
Robotics Teleoperators & Data Collection Specialists to bridge the gap between human
capability and robotic intelligence. In this role, you will be the operator and trainer for our
developmental and deployed systems, directly controlling our multipurpose robots to perform
complex manual tasks, evaluating their physical capabilities, and gathering high-quality
behavioral data to train our robot learning and AI models.
This role offers unique flexibility in scheduling and presents a massive opportunity for growth.
For the right candidate, this position can evolve into a Test and Evaluation Engineer, a Team
Leadership/Operations role, or other technical trajectories within our rapidly growing operations
team.

Key Responsibilities:

  • Robot Teleoperation: Master the remote operation and control of complex robotic systems
    (using VR headsets, specialized controllers, or haptic devices) to successfully execute diverse,
    unstructured manipulation and mobility tasks.
  • Data Collection & Curation: Execute high-fidelity data collection sessions to capture
    human-demonstrated behaviors, ensuring clean data pipelines for machine learning and
    behavioral cloning models.
  • Physical Skill Evaluation: Push our robotic platforms to their physical limits, testing and
    evaluating their dexterity, strength, and adaptability in simulated and real-world environments.
  • Cross-Functional Collaboration: Partner closely with hardware, software, and AI engineers to
    provide critical qualitative feedback on robot ergonomics, control latency, and physical
    limitations.
  • Field & Lab Support: Assist with setting up testing environments, managing robot hardware, and
    documenting edge cases or system failures during operations. Opportunities for travel and client
    facing operation rolls.

Requirements:

  • Exceptional Hand-Eye Coordination: Strong spatial awareness, fine motor skills, and rapid reflex
    capabilities sometimes demonstrated through high-level gaming, RC drone piloting, precision
    machining,sports, or other complex physical trades.
  • Technical Aptitude: Comfort working around complex hardware, basic computer troubleshooting,
    and interacting with terminal software or basic robotics interfaces.
    Detail-Oriented & Methodical: Ability to follow strict testing protocols and repeatedly execute
    exact motions or tasks.
    Communication Skills: Strong verbal and written communication skills to articulate subtle
    physical feedback and edge-case anomalies to engineering teams.
    Adaptability: Excited by a fast-paced startup environment where daily tasks can change based
    on the team's current development sprint.
    Truly exceptional talent will have experience with some or all of the following:
    Experience with VR interfaces, haptic control systems, or gaming peripherals.
    Familiarity with Linux environments, ROS/ROS2, or Python scripting.
    Prior experience in hardware testing, quality assurance, or data annotation.
    Background or interest in heavy industry, construction, or mechanical systems.

What We Offer:

  • Clear Career Growth: Direct pathways into Test & Evaluation Engineering, operational
    leadership, or data management.
  • Flexible Scheduling: Open to part-time or full-time configurations (3 to 5 days a week) tailored to
    your skill development and availability.
  • Cutting-Edge Impact: A firsthand role in training the next generation of industrial, multi-purpose
    AI robotics.

Apply