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Part Time Data Annotation Specialist Jobs (NOW HIRING)

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ES Processing OPS Data Entry

Jacksonville, FL

$17/hr

Department Admissions Processing-OPS Compensation $17.00 Hourly Job Function The part-time Data Entry Specialist is responsible for accurately entering and updating data in various systems while ...

SpaceXAI

Legal & Compliance Tutor

Palo Alto, CA · On-site +1

$100/hr

ABOUT THE ROLE: We are seeking a skilled AI Legal and Compliance Data Specialist to enhance ... You will collaborate with technical teams to refine annotation tools and curate impactful data ...

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Part Time Data Annotation Specialist information

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$28K

$72.9K

$88K

How much do part time data annotation specialist jobs pay per year?

As of Jul 22, 2026, the average yearly pay for part time data annotation specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.

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

AspectPart Time Data Annotation SpecialistData Labeling Associate
CredentialsHigh school diploma or equivalent; attention to detailHigh school diploma or equivalent; accuracy in labeling
Work EnvironmentRemote or office-based, flexible hoursRemote or on-site, often part-time
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech firms
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve data annotation and require attention to detail, often in remote settings. The main difference lies in job titles used by employers and industry terminology, but their responsibilities and credentials are quite similar, making them interchangeable in many contexts.

What is a Part Time Data Annotation Specialist?

A Part Time Data Annotation Specialist is someone who labels, categorizes, or tags data—such as images, text, or audio—to help train machine learning models. They work part-time hours, often remotely, ensuring that raw data is accurately annotated according to specific guidelines. Their work is crucial for improving the accuracy of artificial intelligence systems, as annotated data is used to teach algorithms how to recognize patterns and make predictions. Tasks may include identifying objects in images, transcribing audio recordings, or classifying text content. Attention to detail and consistency are important skills for this role.

What are some common challenges faced by Part Time Data Annotation Specialists, and how can they be addressed?

Part Time Data Annotation Specialists often encounter challenges such as maintaining consistency in labeling large volumes of data and understanding ambiguous guidelines. To address these, it's important to thoroughly review annotation instructions, ask clarifying questions when unsure, and participate in regular feedback sessions with team leads. Collaboration with peers and leveraging available resources, like annotation tools and documentation, can also help ensure accuracy and efficiency while working independently or remotely.

What are the key skills and qualifications needed to thrive as a Part Time Data Annotation Specialist, and why are they important?

To thrive as a Part Time Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling concepts, and often a high school diploma or equivalent. Experience with annotation platforms, basic knowledge of data management tools, and sometimes understanding of machine learning workflows are typical technical requirements. Excellent time management, focus, and the ability to follow precise instructions are valuable soft skills in this role. These skills ensure high-quality, accurate data labeling, which is essential for building reliable machine learning models.
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What are the most commonly searched types of Data Annotation Specialist jobs? The most popular types of Data Annotation Specialist jobs are:
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Part Time Data Annotation Specialist jobs near you
Infographic showing various Part Time Data Annotation Specialist job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 23% Full Time, 28% Part Time, 1% Contract, 44% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Freelance Annotator (English) - AI Trainer

Mindrift - Data annotation

Dallas, TX • Remote

$23/hr

Part-time

Posted 8 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.

Apply