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Day Shift Remote Data Labelling Jobs in North Carolina

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0246027 Location: Fayetteville,NC,US Share job via: Share Data ... This posting will close within 90 days from the Posting Date. Identity Statement As part of the ...

Enterprise Data Analyst II

Raleigh, NC · Remote

$140K - $181K/yr

Overview This is a remote role that may be hired in several markets across the United States. This ... This job posting is expected to remain active for 31 days from the initial posting date listed ...

Enterprise Data Analyst II

Raleigh, NC · Remote

$140K - $181K/yr

Overview This is a remote role that may be hired in several markets across the United States. This ... This job posting is expected to remain active for 31 days from the initial posting date listed ...

Enterprise Data Analyst II

Raleigh, NC · Remote

$140K - $181K/yr

Overview This is a remote role that may be hired in several markets across the United States. This ... This job posting is expected to remain active for 31 days from the initial posting date listed ...

Data Engineer

Fayetteville, NC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0236980 Location: Fayetteville,NC,US Share job via: Share Data ... Ability to deploy internationally for up to 90 days * Ability to travel CONUS up to 25% of the time

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Day Shift Remote Data Labelling information

What is the difference between Day Shift Remote Data Labelling vs Night Shift Remote Data Labelling?

AspectDay Shift Remote Data LabellingNight Shift Remote Data Labelling
Work HoursTypically 9 AM - 5 PMUsually 9 PM - 5 AM
Work EnvironmentRemote, home-basedRemote, home-based
Required SkillsAttention to detail, basic tech skillsAttention to detail, basic tech skills
CertificationsNone usually requiredNone usually required

Both Day Shift and Night Shift Remote Data Labelling roles involve similar tasks, skills, and work environments. The main difference lies in the working hours, with day shift working during regular business hours and night shift during overnight hours. Your choice depends on your personal schedule preferences and productivity patterns.

What are popular job titles related to Day Shift Remote Data Labelling jobs in North Carolina?

For Day Shift Remote Data Labelling jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Day Shift Remote Data Labelling jobs in North Carolina look for?

The top searched job categories for Day Shift Remote Data Labelling jobs in North Carolina are:

What cities in North Carolina are hiring for Day Shift Remote Data Labelling jobs?

Cities in North Carolina with the most Day Shift Remote Data Labelling job openings:

Infographic showing various Day Shift Remote Data Labelling job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 25% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Charlotte, NC • On-site, Remote

$20/hr

Contractor

Re-posted yesterday


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