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Remote Data Labelling Jobs in North Carolina (NOW HIRING)

Truvani

Direct Response Copywriter - REMOTE

Charlotte, NC · On-site +1

$75K - $105K/yr

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

PNC Bank

Head of Sales, Linga

Charlotte, NC · On-site +1

... white-label partners), and expansion of the existing customer base. Reporting directly to the ... Use data-driven insights to continuously optimize performance across all channels. Maintain ...

Amteck, LLC

Low Voltage Technician 3

Charlotte, NC · On-site +1

$20.25 - $27.50/hr

Install, repair, terminate, certify, and label cabling for one or more of the following systems ... Terminate data jacks and mod plugs * Understand specifications of IDF and data closet enclosures ...

Attindas - US

Talent Business Partner

Raleigh, NC · Remote

... label brands for retailers. Mission: We champion health, dignity and comfort. Vision: To be a ... Identify process gaps, data quality issues, or opportunities to improve consistency in (global ...

New

ASCENSUS

NQ Plan Analyst

Charlotte, NC · Remote

The NQ Plan Analyst team (Direct and Private Label) oversees the day-to-day workflow for assigned ... Research data issues, including information on Risk Mitigation reports, to ensure data completeness.

Spectra force

Medical Safety Physician

Lincolnton, NC · On-site +1

Company Description Medical Safety Physician 6-month assignment 100% Remote What are the three most ... label development, review and change • Provide medical support and attendance at Data Safety ...

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Remote Data Labelling information

See North Carolina salary details

$41.8K

$150K

$221.3K

How much do remote data labelling jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data labelling in North Carolina is $149,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $154,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in remote data labelling?

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

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

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

What is a remote data labelling?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

What are the most commonly searched types of Data Labelling jobs in North Carolina? The most popular types of Data Labelling jobs in North Carolina are:
What are popular job titles related to Remote Data Labelling jobs in North Carolina? For Remote Data Labelling jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Remote Data Labelling jobs in North Carolina look for? The top searched job categories for Remote Data Labelling jobs in North Carolina are:
What cities in North Carolina are hiring for Remote Data Labelling jobs? Cities in North Carolina with the most Remote Data Labelling job openings:
Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $149,969 per year, or $72.1 per hour.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Charlotte, NC • On-site, Remote

$20/hr

Contractor

Posted 4 days ago

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

Apply