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Part Time Amazon Data Annotation Jobs in California

YO AI Labs

AI Data Science Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Finance Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Finance Expert - Remote

San Francisco, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Finance Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Finance Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Consulting Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

YO AI Labs

AI Consulting Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

YO AI Labs

AI Consulting Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

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 ...

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All JobsAmazon Data Annotation JobsPart Time Amazon Data Annotation JobsPart Time Amazon Data Annotation Jobs in California

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.

Are those part time Amazon data annotation jobs real?

Part time Amazon data annotation jobs are legitimate roles involving labeling data to improve machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are typically offered through Amazon's official platforms or authorized partners.

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 the most commonly searched types of Amazon Data Annotation jobs in California?

The most popular types of Amazon Data Annotation jobs in California are:

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:

Part Time Amazon Data Annotation jobs near you
Infographic showing various Part Time Amazon Data Annotation job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Data Scientist Expert - Remote

YO AI Labs

Palo Alto, CA • Remote

$100 - $200/hr

Part-time

Posted 6 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.