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Part Time Amazon Data Annotation Jobs in California

Familiarity with AI or data annotation workflows in a technical setting. LOCATION AND OTHER EXPECTATIONS: * Tutor roles may be offered as full-time, part-time, or contractor positions, depending on ...

Familiarity with AI or data annotation workflows in a technical setting. LOCATION AND OTHER EXPECTATIONS: * Tutor roles may be offered as full-time, part-time, or contractor positions, depending on ...

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 ...

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Part Time Amazon Data Annotation information

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 a Part Time Amazon Data Annotation job?

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 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.

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 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:

Language Specialist - Fully Remote | Upto $20/hr Part-time

Mercor

San Francisco, CA • Remote

$20/hr

Part-time

Posted 11 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Generalist - English & Telugu
Type: Contract
Compensation: $15–$20/hour
Location: Remote

Role Responsibilities

  • Conduct fact-checking using trusted public sources and external tools.
  • Generate high-quality human evaluation data by identifying response strengths, areas for improvement, and factual inaccuracies.
  • Assess reasoning quality, clarity, tone, and completeness of responses.
  • Ensure model responses align with expected conversational behavior and system guidelines.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • Bachelor's degree.
  • Native speaker in Telugu.
  • Significant experience using large language models.
  • Excellent writing skills in English.
  • Strong attention to detail.
  • Background or experience in domains requiring structured analytical thinking.

Preferred

  • Prior experience with RLHF, model evaluation, or data annotation work.
  • Experience writing or editing high-quality written content.
  • Experience comparing multiple outputs and making fine-grained qualitative judgments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.