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Part Time Amazon Data Annotation Jobs (NOW HIRING)

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

We offer full and part-time (based on availability) opportunities. Compensation & Benefits * $22.50 ... Enforce Amazon vehicle condition and appearance standards Telematics & Data * Monitor Mentor ...

... usage data from Amazon Connect's cloud monitoring tools, such as Amazon CloudWatch, and report findings to the supervisor. 3) Outbound Campaigns and Surveys: a) Set up and manage outbound voice ...

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Part Time Amazon Data Annotation information

Is it easy to get hired for data annotation?

Getting hired for a part-time Amazon data annotation role generally depends on meeting basic requirements such as attention to detail, good communication skills, and the ability to follow instructions. The application process is straightforward, often involving an online assessment or sample task, but competition can vary based on the number of applicants. Having familiarity with data labeling tools and a reliable internet connection can improve your chances of being hired.

How much do Amazon data annotation jobs pay?

Amazon data annotation jobs typically pay between $10 and $15 per hour, depending on the complexity of the task and the employer. These roles often require attention to detail and basic computer skills, with flexible schedules suitable for part-time work.

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.

Does Amazon really pay people to work from home?

Amazon Data Annotation jobs are often advertised as remote positions, and Amazon does hire remote workers for data annotation tasks. These roles typically involve reviewing and labeling data using online tools and usually pay on an hourly or project basis. However, applicants should verify the legitimacy of specific listings and be aware that some opportunities may be scams or require specific skills and equipment.
More about Part Time Amazon Data Annotation jobs
What cities are hiring for Part Time Amazon Data Annotation jobs? Cities with the most Part Time Amazon Data Annotation job openings:
What are the most commonly searched types of Amazon Data Annotation jobs? The most popular types of Amazon Data Annotation jobs are:
What states have the most Part Time Amazon Data Annotation jobs? States with the most job openings for Part Time Amazon Data Annotation jobs include:
What job categories do people searching Part Time Amazon Data Annotation jobs look for? The top searched job categories for Part Time Amazon Data Annotation jobs are:
Infographic showing various Part Time Amazon Data Annotation job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

AI Trainer - Freelance Data Annotator

Toloka Annotators

Dallas, TX • Remote

$23/hr

Part-time

Re-posted 29 days ago


Job description

Please submit your resume in English and indicate your level of English.

At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.

What we do

The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.

About the Role

Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.

Responsibilities:

  • Carefully review provided data (text, images, or videos)
  • Label or classify content based on project guidelines
  • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material

Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities.

Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $23 per hour equivalent.

Requirements

  • Bachelor's degree in any discipline
  • Minimum 1 year of experience in any professional role
  • Advanced level of English (C1 or higher), both written and spoken
  • Logical thinking, fact-checking and reasoning abilities
  • Strong attention to detail and ability to understand and follow complex instructions
  • Strong communication skills, including the ability to ask clarifying questions when needed
  • Genuine interest in technology and artificial intelligence

Benefits

Why this freelance opportunity might be a great fit for you?

  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
  • Work on advanced AI projects and gain valuable experience that enhances your portfolio.
  • Influence how future AI models understand and communicate in your field of expertise.