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Part Time Data Labeling Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Analyst, Mid

San Antonio, TX · On-site +1

$61K - $141K/yr

Experience with data governance including cataloging, lineage, and sensitivity labels * Experience ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

NEW YORK EDGE, INC

Data Entry Specialist

Brooklyn, NY · On-site

$20 - $25/hr

Schedule: * Part-Time * Up to 20 hours per week while school is in session * Up to 25 hours per ... Entering the schedule and labeling activities into required databases * Set up class rosters and ...

NEW YORK EDGE, INC

Data Entry Specialist Bronx

Bronx, NY · On-site

$20 - $25/hr

Schedule: * Part-Time * Up to 20 hours per week while school is in session * Up to 25 hours per ... Entering the schedule and labeling activities into required databases * Set up class rosters and ...

MediaFast

Be Seen First

Part-Time Warehouse Associate

Lindon, UT · On-site

$15 - $18/hr

Basic computer and data entry skills * Attention to detail and accuracy * Ability to safely lift up ... Print packing slips, bills of lading (BOLs), shipping labels, and verify shipping documentation

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All JobsData Labeling JobsPart Time Data Labeling Jobs

Part Time Data Labeling information

What are part time data labeling jobs?

Part time data labeling jobs involve annotating or tagging data—such as images, audio, text, or video—which is then used to train machine learning models. These roles typically require you to review data and apply labels or classifications based on specific guidelines. The work is often flexible, can be done remotely, and usually does not require advanced technical skills. Data labelers play a crucial role in ensuring AI systems learn from accurate, high-quality data. Tasks may include identifying objects in images, transcribing audio, or categorizing text.

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

AspectPart Time Data LabelingPart Time Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or flexible, often freelanceRemote or flexible, often freelance
Industry UsageCommon in AI/ML projects for image, text, audio dataUsed interchangeably with data labeling, often in similar contexts

Part Time Data Labeling and Part Time Data Annotation are often used interchangeably, focusing on preparing data for machine learning models. Both roles require similar skills and work environments, primarily involving labeling or annotating data such as images, text, or audio. The main difference is terminology preference, but they serve the same purpose in AI data preparation processes.

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

To thrive as a Part Time Data Labeling Specialist, you need strong attention to detail, basic computer literacy, and the ability to follow specific guidelines or protocols. Familiarity with data annotation tools, spreadsheet software, and platforms like Labelbox or Amazon SageMaker Ground Truth is often required. Reliability, consistency, and effective communication are valuable soft skills for ensuring high-quality, accurate work. These skills are essential because precise data labeling is foundational to training effective machine learning models and ensuring project success.

What are the typical challenges faced by part-time data labelers, and how can they be managed?

Part-time data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring accuracy while labeling large volumes of data, and adapting to evolving project guidelines. To manage these, it's helpful to take regular breaks to reduce fatigue, double-check work for consistency, and stay updated on any changes in labeling instructions. Collaboration with team leads or participating in team discussions can also clarify doubts and improve the overall quality of the work.
More about Part Time Data Labeling jobs
What cities are hiring for Part Time Data Labeling jobs? Cities with the most Part Time Data Labeling job openings:
What are the most commonly searched types of Data Labeling jobs? The most popular types of Data Labeling jobs are:
What job categories do people searching Part Time Data Labeling jobs look for? The top searched job categories for Part Time Data Labeling jobs are:
Part Time Data Labeling jobs near you
Infographic showing various Part Time Data Labeling job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Chicago, IL • Remote

$20/hr

Full-time, Part-time

Posted 14 days ago

Job description

As an AI Training Specialist (Data Annotation), you’ll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We’re looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology