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Day Shift Remote Data Annotation Jobs in Taylors, SC

We're currently hiring Work-from-Home Telephonic Research Interviewers for our day shift team at ... Jabra or Logitech ) What We Offer: * 100% Remote , work-from-home position * Part-time hours with ...

Helpdesk Associate

Greenville, SC · On-site +1

$17.50 - $23.50/hr

Account specific training is conducted during day shift hours, regardless of assigned shift ... About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology ...

Helpdesk Associate

Greenville, SC · On-site +1

$17.50 - $23.50/hr

Account specific training is conducted during day shift hours, regardless of assigned shift ... About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology ...

Must work full-time day shift Monday - Friday. Additional shifts may be required during the peak ... Basic computer skills are often required for data entry and managing donor information. Telephone ...

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Day Shift Remote Data Annotation information

What is a day shift remote data annotation?

A Day Shift Remote Data Annotation job involves labeling or tagging data—such as images, text, audio, or video—so that it can be used to train machine learning models. This work is performed remotely, generally during regular daytime business hours. Data annotators follow specific guidelines to ensure accuracy and consistency, making their work crucial for the development of artificial intelligence systems. Some common tasks include identifying objects in images or transcribing spoken words in audio files. The role typically requires attention to detail and basic computer skills, but extensive technical expertise is usually not required.

What are the key skills and qualifications needed to thrive as a day shift remote data annotation specialist?

To excel as a Day Shift Remote Data Annotation Specialist, strong attention to detail, a solid understanding of data labeling concepts, and basic computer literacy are essential, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data management tools, and sometimes knowledge of specific industry standards or guidelines is typically expected. Excellent time management, communication skills, and the ability to work independently make candidates stand out in this remote role. These capabilities ensure accuracy, efficiency, and reliability in processing and labeling data, which are critical for the quality of machine learning and AI projects.

What are some common challenges faced by remote data annotation professionals working day shifts, and how can they be managed?

Remote data annotation professionals on day shifts often encounter challenges such as staying focused during repetitive tasks, maintaining high accuracy, and managing communication across distributed teams. To address these, it's helpful to establish a structured daily routine, take regular short breaks to reduce eye strain and fatigue, and use productivity tools to track progress. Proactive communication with team members and supervisors—using chat platforms or regular video check-ins—also helps ensure alignment on project guidelines and fosters a collaborative remote work environment.

What is the difference between Day Shift Remote Data Annotation vs Day Shift Remote Data Labeling?

AspectDay Shift Remote Data AnnotationDay Shift Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageTech, AI, Machine LearningTech, AI, Machine Learning
Job FocusAdding annotations to datasetsApplying labels to datasets

Both roles involve working remotely in tech and AI industries, requiring similar skills. Data annotation typically involves marking specific features in data, while data labeling focuses on assigning categories. The main difference lies in the terminology and specific task details, but both are essential for training AI models.

What job categories do people searching Day Shift Remote Data Annotation jobs in Taylors, SC look for?

The top searched job categories for Day Shift Remote Data Annotation jobs in Taylors, SC are:

Data Collection Specialist

Greenville, SC • Remote

$10.50/hr

Part-time

Posted 7 days ago


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.