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Part Time Remote Data Labelling Jobs (NOW HIRING)

GDCC is one of the largest global data collection companies for Market Research. We're currently ... part-time remote work to earn extra income. Online training provided for qualified candidates ...

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GDCC is one of the largest global data collection companies for Market Research. We're currently ... part-time remote work to earn extra income. Online training provided for qualified candidates ...

New

GDCC is one of the largest global data collection companies for Market Research. We're currently ... part-time remote work to earn extra income. Online training provided for qualified candidates ...

New

GDCC is one of the largest global data collection companies for Market Research. We're currently ... part-time remote work to earn extra income. Online training provided for qualified candidates ...

New

GDCC is one of the largest global data collection companies for Market Research. We're currently ... part-time remote work to earn extra income. Online training provided for qualified candidates ...

New

GDCC is one of the largest global data collection companies for Market Research. We're currently ... part-time remote work to earn extra income. Online training provided for qualified candidates ...

New

GDCC is one of the largest global data collection companies for Market Research. We're currently ... part-time remote work to earn extra income. Online training provided for qualified candidates ...

New

Description Defined.ai is a leading provider of high-quality, ethically sourced data for Artificial ... We are looking for experienced Licensed Therapists to join an exciting, remote, part-time pilot ...

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Part Time Remote Data Labelling information

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$46K

$165K

$243.5K

How much do part time remote data labelling jobs pay per year?

As of Aug 21, 2026, the average yearly pay for part time remote data labelling 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 remote data labelling job?

A part time remote data labelling job involves annotating or tagging data—such as images, text, or audio—from your own location, typically using specialized software provided by employers. The role is essential for training machine learning models, as accurate labels help computers learn to recognize patterns. These jobs are often flexible, allowing you to set your own hours and work from anywhere with an internet connection. No advanced technical skills are usually required, but attention to detail is important.

What are the key skills and qualifications needed to thrive as a part time remote data labelling specialist?

To excel as a Part Time Remote Data Labelling specialist, you need strong attention to detail, basic computer literacy, and a solid understanding of data privacy and handling protocols, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, spreadsheet software, and sometimes specific data labelling tools like Labelbox or Supervisely is typically required. Reliability, time management, and clear communication are crucial soft skills for meeting deadlines and collaborating in a remote setting. These skills and qualities ensure that labelled data is accurate, consistent, and valuable for training effective machine learning models.

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

Part-time remote data labellers often face challenges such as maintaining consistent accuracy, staying focused during repetitive tasks, and managing communication with a distributed team. To address these, it’s helpful to establish a quiet, distraction-free workspace, use productivity techniques like the Pomodoro method, and regularly review labelling guidelines to minimize errors. Leveraging communication tools and participating in team check-ins can also help clarify questions and build a sense of connection with colleagues.

What is the difference between Part Time Remote Data Labelling vs Part Time Remote Data Annotation?

AspectPart Time Remote Data LabellingPart Time Remote Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Job FocusLabeling data for training AI modelsAnnotating data for AI training

Part Time Remote Data Labelling and Part Time Remote Data Annotation are similar roles involving preparing data for AI systems. Labelling typically involves categorizing data, while annotation may include adding detailed notes or markings. Both roles require attention to detail and are performed remotely, making them suitable for flexible schedules. The main difference lies in the specific tasks, but they are often used interchangeably depending on the employer or project.

More about Part Time Remote Data Labelling jobs

What cities are hiring for Part Time Remote Data Labelling jobs?

Cities with the most Part Time Remote Data Labelling job openings:

What are the most commonly searched types of Remote Data Labelling jobs?

The most popular types of Remote Data Labelling jobs are:

What states have the most Part Time Remote Data Labelling jobs?

States with the most job openings for Part Time Remote Data Labelling jobs include:

Infographic showing various Part Time Remote Data Labelling 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Collection Specialist

GDCC West

San Antonio, TX • Remote

$10.50/hr

Part-time

Posted yesterday

New


Job description

GDCC is one of the largest global data collection companies for Market Research. We’re currently hiring Work-from-Home Telephonic Research Interviewers for our day shift team at GDCC West.

In this role, you’ll conduct outbound calls to businesses across the U.S. to complete confidential market research interviews. No sales, no fundraising—just professional research conversations.

This position is ideal for college students, retirees, or anyone looking for flexible part-time remote work to earn extra income. Online training provided for qualified candidates, followed by a one-day Project Briefing class designed for new hires, where you'll work with an instructor, receive live guidance, and make your first live calls.

What You'll Need

  • Fluent in spoken and written English
  • Excellent communication skills and a professional phone manner
  • A quiet, distraction-free workspace (no background noise)
  • Strong typing and computer navigation skills
  • Must reside in the United States (some state restrictions may apply)
  • Eligible to work in the U.S. (Form I-9 required)
  • Experience:
    • Call Center: 1 year (Preferred, not required)
    • Education: High School Diploma or equivalent (Required)
  • Available to work at least 14 hours a week
  • Able to work independently with minimal supervision

Technical Requirements:

  • PC or laptop running Windows 11 or newer
  • High speed internet (fiber or cable preferred)
    • Minimum 20mbps download / 10mbps upload
    • Wi-Fi not recommended
  • 8GB RAM or more
  • Noise-canceling headset with microphone (recommend brands: Jabra or Logitech)

What We Offer:

  • 100% Remote, work-from-home position
  • Part-time hours with flexible scheduling
  • Online training
  • No sales -market research only
  • Hiring bonus after 90 days
  • Access to earned wages before payday

Company Description

GDCC (Global Data Collection Company) is a leading international provider of high-quality data collection services for the market research industry. With offices and remote teams around the world, GDCC partners with major research firms to deliver reliable insights through professional interviewing. Our success is built on integrity, quality, and the talent of our people.