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Part Time Amazon Data Annotation Jobs in California

... 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 ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Transform complex injury data into actionable strategies that protect associates and optimize work ...

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 ...

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 ...

Amazon's data collection and use practices are described in its privacy notice. You can request a ... Part-time Pay: $1,010.00 - $1,380.00 per week Shift: * 10 hour shift Work Days: * Holidays

Showing results 21-40

Part Time Amazon Data Annotation information

What is a part time Amazon data annotation?

A Part Time Amazon Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video to help improve Amazon’s machine learning models and artificial intelligence systems. Data annotators play a critical role in ensuring that the data used to train these systems is accurate and relevant. Part-time roles typically offer flexible hours, allowing employees to work remotely or on-site depending on the project. Responsibilities may include reviewing and correcting data, following detailed guidelines, and maintaining high attention to detail to ensure data quality.

What are the typical daily tasks and collaboration methods for a part time Amazon data annotation role?

In a part-time Amazon data annotation position, your daily tasks usually involve labeling and categorizing data such as images, text, or audio to help improve machine learning models. You will work independently using annotation tools, following detailed guidelines provided by Amazon to ensure accuracy and consistency. While the work is primarily individual, you may collaborate with team leads or quality reviewers through online platforms or periodic meetings to clarify instructions or address challenges. Flexibility and attention to detail are crucial, as well as timely communication to maintain workflow standards.

What are the key skills and qualifications needed to thrive as a part time Amazon data annotation specialist, and why are they important?

To thrive as a Part Time Amazon Data Annotation specialist, you need strong attention to detail, basic computer literacy, and the ability to accurately interpret and label data according to specific guidelines. Familiarity with data annotation platforms, spreadsheets, and Amazon's proprietary tools is typically required, though formal certifications are not always necessary. Strong organizational skills, reliability, and the ability to work independently are important soft skills that help ensure consistent and high-quality results. These skills are crucial for maintaining data integrity, supporting machine learning development, and ensuring project timelines are met.

What is the difference between Part Time Amazon Data Annotation vs Part Time Amazon Product Listing?

AspectPart Time Amazon Data AnnotationPart Time Amazon Product Listing
Required SkillsData labeling, attention to detail, basic computer skillsProduct description writing, keyword optimization, basic image editing
Work EnvironmentRemote, computer-basedRemote or on-site, computer-based
Employer & Industry UsageAmazon, data annotation servicesAmazon, e-commerce retail
Common Search & Comparison IntentUnderstanding data annotation roles on AmazonUnderstanding product listing tasks on Amazon

Part Time Amazon Data Annotation involves labeling and categorizing data to improve AI models, requiring attention to detail and basic tech skills. In contrast, Part Time Amazon Product Listing focuses on creating and optimizing product descriptions and images for listings. Both roles are remote, often employed by Amazon or third-party service providers, but serve different functions within the e-commerce ecosystem.

How much do part time Amazon data annotation jobs pay?

Part-time Amazon data annotation jobs typically pay between $10 and $15 per hour, depending on the complexity of the tasks and the employer. These roles often require attention to detail and familiarity with annotation tools, and pay rates can vary based on experience and location.

What are popular job titles related to Part Time Amazon Data Annotation jobs in California?

For Part Time Amazon Data Annotation jobs in California, the most frequently searched job titles are:

What job categories do people searching Part Time Amazon Data Annotation jobs in California look for?

The top searched job categories for Part Time Amazon Data Annotation jobs in California are:

What cities in California are hiring for Part Time Amazon Data Annotation jobs?

Cities in California with the most Part Time Amazon Data Annotation job openings:

Infographic showing various Part Time Amazon Data Annotation job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

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.