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Part Time Data Annotator Jobs (NOW HIRING)

Innodata Inc.

Data AI Annotator - Flexible Hours

$15/hr

It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ... Reviewing data and identifying whether or not a product feature works as intended based on the ...

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Part Time Data Annotator information

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$46K

$165K

$243.5K

How much do part time data annotator jobs pay per year?

As of Sep 1, 2026, the average yearly pay for part time data annotator in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a part time data annotator?

Part time data annotators are individuals who work on a flexible or reduced-hours basis to label, categorize, or tag data such as images, text, or audio. Their work helps train machine learning models by providing accurately labeled datasets. This role typically involves using specialized software to mark up data according to specific guidelines, and can often be done remotely. Part time positions are ideal for students, freelancers, or anyone seeking supplemental income while contributing to artificial intelligence projects.

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

To thrive as a Part Time Data Annotator, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms like Labelbox, CVAT, or proprietary tools, as well as understanding of data privacy and security protocols, is typically required. Excellent communication, time management, and the ability to follow precise instructions help individuals stand out in this role. These skills ensure high-quality, accurate data labeling that is crucial for training reliable machine learning models.

What are some common challenges faced by part time data annotators, and how can they be managed?

Part-time data annotators often encounter challenges such as repetitive tasks, tight deadlines, and maintaining high accuracy over long periods of work. To manage these, it's helpful to take regular short breaks, use annotation guidelines provided by the employer, and communicate proactively with team leads about any ambiguities in the data. Many organizations also provide training sessions and feedback, which can help annotators continuously improve their skills and adapt to evolving project requirements.

What is the difference between Part Time Data Annotator vs Part Time Data Labeler?

AspectPart Time Data AnnotatorPart Time Data Labeler
Required SkillsAttention to detail, basic understanding of data types, familiarity with annotation toolsAttention to detail, understanding of data categories, use of labeling software
Work EnvironmentRemote or office-based, working with datasets and annotation platformsRemote or office-based, focusing on labeling images, text, or audio data
Industry UsageAI, machine learning, data science projectsAI, machine learning, data preparation tasks

Both roles involve working with data to prepare it for machine learning models. The main difference lies in terminology; 'Data Annotator' often emphasizes detailed annotation tasks, while 'Data Labeler' focuses on categorizing data. Both positions typically require similar skills and are used interchangeably in many companies.

Can I work as a part time data annotator with no experience?

Part time data annotator roles often do not require prior experience, as training is typically provided to help new workers learn annotation tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. However, some positions may prefer or require familiarity with specific data types or annotation platforms.

Can you do data annotation part-time?

Yes, data annotation jobs, including part-time roles, are commonly available and often offer flexible schedules. These positions typically require attention to detail and familiarity with annotation tools, making them suitable for individuals seeking part-time work. Availability depends on the employer and specific job postings.

How much do data annotators get paid?

Data annotators typically earn between $10 and $20 per hour, depending on the company, location, and complexity of the tasks. Many roles are part-time and may require basic skills in data labeling and familiarity with annotation tools.
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The most popular types of Data Annotator jobs are:

What job categories do people searching Part Time Data Annotator jobs look for?

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Part Time Data Annotator jobs near you
Infographic showing various Part Time Data Annotator job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

AI Trainer - Freelance Data Annotator

Mindrift - Data annotation

San Antonio, TX • Remote

$20/hr

Part-time

Re-posted 15 days ago

Job description

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

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

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.

While each project involves unique tasks, contributors may:

  • 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.

What we look for

This opportunity is a good fit for candidates open to part-time, non-permanent projects. Ideally, contributors will have:

  • Bachelor's degree in any discipline;
  • Minimum 1 year of experience in any professional role;
  • 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;
  • Strong written and spoken English (C1+).

How it works 

Apply Pass qualification(s)  Join a project (when available) Complete tasks Get paid

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;
  • Participate into advanced AI projects and gain valuable experience that enhances your portfolio;
  • Influence how future AI models understand and communicate in your field of expertise.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $20/hr. Because payment is per task, a faster pace raises your effective hourly rate. Keep in mind, quality standards must be maintained, regardless of speed.

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