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Part Time Data Labeling Jobs (NOW HIRING)

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 ...

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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 June 2026, with employment types broken down into 100% Part Time. Highlights an 75% In-person, and 25% Remote job distribution.

US-Based Medical Expert Network (Pathology, Radiology, Cardiology)

CloudFactory

Remote

$18.75 - $24.25/hr

Part-time

Posted 26 days ago

Job description

Who We Are
At CloudFactory, we are a mission-driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real-world business value at scale.
More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do, as we strive to connect one million people to meaningful work and build leaders worth following.
Our Culture
At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:
  • Mission-Driven: We focus on creating economic and social impact.
  • People-Centric: We care deeply about our team's growth, well-being, and sense of belonging.
  • Innovative: We embrace change and find better ways to do things, together.
  • Globally Connected: We foster collaboration between diverse cultures and perspectives.

We believe meaningful work has the power to transform lives. We're partnering with leading innovators to harness the power of AI in medicine, improving diagnostic tools, and expanding access to quality healthcare.
We're inviting licensed U.S.-based medical professionals - pathologists, radiologists, and cardiologists - to join our growing network of medical experts who support AI-driven healthcare projects.
Why Join our Network
We're continuously building our US network of healthcare professionals - including (but not limited to) pathologists, radiologists, and cardiologists - to contribute their medical expertise to projects that advance medical AI research and innovation.
This is a talent network, not a specific open position. Joining means you'll be considered for future, project-based collaborations where your clinical insight will directly contribute to building safer, more accurate, and more ethical AI models for medical use.
What You'll Do
Depending on the project, you may:
  • Review and validate medical data or imaging annotations
  • Provide domain expertise to improve AI models for diagnostic accuracy
  • Help design or review training materials for medical labeling teams
  • Contribute to quality assurance or expert validation activities

Requirements
We welcome clinicians, specialists, academics, and healthcare professionals who have:
  • A recognized medical degree (MD, DO, MBBS, or equivalent) or are currently completing one
  • Board certification in Pathology, Radiology, or Cardiology (active, previous or in progress)
  • Clinical experience in diagnostic interpretation or clinical decision support
  • An interest in applying clinical knowledge to AI and digital innovation
  • Fluency in English
  • Nice to have - Experience in data labeling, model validation, or AI ethics in healthcare

Why You'll Love Working With Us
  • Community Connection: Be part of a company culture that values giving back, creating a sense of purpose and belonging.
  • Global, Purpose-Driven Team: Join a diverse, inclusive team where collaboration, shared ideas, and a mission to transform lives drive meaningful impact and innovation.
  • Opportunities to collaborate on impactful global AI projects
  • Flexible engagement models (part-time, contract, or project-based)
  • The chance to use your expertise to improve healthcare outcomes through technology

If you're passionate about advancing medical AI and want to be part of a mission-driven global community, we'd love to hear from you.
Apply now to join our US Medical Expert Network and be among the first to hear about upcoming opportunities.

Apply