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Part Time Data Labeling Jobs (NOW HIRING)

Total AI

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Korean AI Task Contributor, Part-Time Remote

OR · Remote

$31 - $35/hr

Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing language-based assignments, and helping improve AI systems. Requirements: * Fluent or native-level ...

Total AI

Be Seen First

Korean AI Task Contributor, Part-Time Remote

OR · Remote

$31 - $35/hr

Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing language-based assignments, and helping improve AI systems. Requirements: * Fluent or native-level ...

Total AI

Be Seen First

Korean AI Task Contributor, Part-Time Remote

OR · Remote

$31 - $35/hr

Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing language-based assignments, and helping improve AI systems. Requirements: * Fluent or native-level ...

AST SpaceMobile

AI Lab Manager

Midland, TX · On-site

AST SpaceMobile is seeking an AI Data Operations Manager based in Midland, TX to operate, secure ... You will hire, train, schedule, and supervise a part-time labeling workforce on AST's in-house ...

Columbia University

Research Coordinator

New York, NY · On-site

$52K - $65K/yr

Hunt Lab is seeking a part-time scientific Research Coordinator position for a project focused on ... Ensure proper versioning and data labeling for easy accessibility. * Assist project staff in ...

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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.
Session Moderator, AI Data Studio (Part-Time)

Session Moderator, AI Data Studio (Part-Time)

HumanSignal

Columbus, OH • On-site

$18 - $25/hr

Part-time

Posted 18 days ago

Job description

About HumanSignal
Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
About the Role
Moderators run our in-person data collection sessions. You'll set up the recording equipment, walk participants through their tasks, keep the session on track, and make sure the data we capture is clean and usable. It's part technical, part people. The best moderators are the ones who can troubleshoot a camera rig and put a nervous first-time participant at ease in the same five minutes.
  • Location: Columbus, OH (Discovery District), 100% onsite
  • Type: Part time, hourly
  • Pay: $18 to $25 per hour
What You'll Do
  • Lead group and individual data collection sessions from start to finish
  • Set up, operate, and troubleshoot recording equipment: cameras, microphones, sensors, and session software
  • Give clear instructions, answer participant questions, and keep sessions moving on schedule
  • Monitor recordings in real time and catch quality issues before they become re-shoots
  • Flag equipment or process problems to the shift Team Lead
  • Reset the studio between sessions
What You Bring
  • Hands-on experience with technical setup of some kind. We've had great moderators come from audio engineering, IT support, photography, videography, AV and live events, and robotics or equipment operation
  • Comfort speaking in front of a group and directing a room. This is non-negotiable; moderators lead sessions, not just run gear
  • Patience and clarity when explaining instructions to people with zero technical background
  • Attention to detail. Small setup mistakes ruin whole sessions
  • Availability for part-time shifts during active project periods, including some evenings and weekends
Why This Role
You'll work with interesting capture technology, build real facilitation experience, and see exactly how the data behind modern AI gets created. Flexible part-time scheduling around active projects.
HumanSignal is an equal opportunity employer. Final pay within the posted range is based on experience and equipment scope.

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