ZipRecruiter

Log In

2

Remote Data Annotation Specialist Jobs in Raleigh, NC

XTG

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Exponential Technology Group (XTG) is a specialist in the electronic component distribution and ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

next page

Showing results 1-20

All JobsData Annotation Specialist JobsRemote Data Annotation Specialist JobsRemote Data Annotation Specialist Jobs in Raleigh, NC

Remote Data Annotation Specialist information

See Raleigh, NC salary details

$27.2K

$70.9K

$85.5K

How much do remote data annotation specialist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data annotation specialist in Raleigh, NC is $70,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $84,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Annotation Specialist, and why are they important?

To thrive as a Remote Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling guidelines, and a basic understanding of data structures, often supported by a high school diploma or relevant training. Experience with annotation platforms, data management tools, and sometimes basic scripting languages is typically required. Excellent time management, communication skills, and the ability to work independently help individuals excel in this remote role. These skills ensure high-quality, consistent, and efficient data labeling, which is critical for training accurate machine learning models.

What is the salary of data annotation specialist?

The salary of a remote data annotation specialist typically ranges from $12 to $25 per hour, depending on experience, skill level, and the complexity of annotation tasks. Some positions may offer hourly wages or project-based pay, with opportunities for bonuses or raises based on performance and accuracy.

What are some typical challenges Remote Data Annotation Specialists face, and how can they be managed?

Remote Data Annotation Specialists often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistency across large datasets, and managing tight deadlines. To overcome these, it's helpful to establish a structured work schedule, take regular breaks, and utilize annotation guidelines provided by the employer. Collaborative tools and periodic check-ins with team leads or peers can also help clarify questions and maintain quality standards, ensuring annotation accuracy and productivity.

What is a data annotation specialist?

A data annotation specialist is a professional who labels and categorizes data, such as images, text, or videos, to help train machine learning models. They typically use annotation tools and require attention to detail to ensure data accuracy, often working remotely with flexible schedules.

How much do remote data annotation operators make?

Remote data annotation specialists typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform they work for. Some roles may offer project-based pay or bonuses for accuracy and efficiency, with opportunities for skill development in annotation tools and data labeling processes.

What are Remote Data Annotation Specialists?

Remote Data Annotation Specialists are professionals who label, tag, or categorize data—such as images, text, audio, or video—for use in machine learning and artificial intelligence projects. They work remotely, using specialized software tools to ensure data is accurately annotated according to project guidelines. Their work helps improve the performance of AI systems by providing high-quality, labeled datasets that algorithms can learn from. This role often requires attention to detail, basic technical skills, and the ability to follow instructions carefully.

What qualifications do you need to be a data annotator?

To be a remote data annotation specialist, candidates typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or software. A high school diploma or equivalent is usually sufficient, and some roles may require prior experience in data labeling or related tasks. Good communication skills and the ability to work independently are also beneficial.

What is the difference between Remote Data Annotation Specialist vs Remote Data Labeler?

AspectRemote Data Annotation SpecialistRemote Data Labeler
CredentialsHigh school diploma or equivalent; attention to detailHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, often part of AI/ML teamsRemote, typically freelance or contract-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, computer vision
Common Search IntentUnderstanding roles, job requirements, and career pathFinding entry-level or freelance annotation jobs

The Remote Data Annotation Specialist and Remote Data Labeler roles both involve labeling data for AI and machine learning projects. However, the Specialist often performs more complex annotations and may work within a team, while the Labeler typically handles simpler tasks independently. Both roles require attention to detail and are common in AI industries, but the Specialist may have more responsibilities and slightly higher skill expectations.

What are popular job titles related to Remote Data Annotation Specialist jobs in Raleigh, NC? For Remote Data Annotation Specialist jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation Specialist jobs in Raleigh, NC look for? The top searched job categories for Remote Data Annotation Specialist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Annotation Specialist jobs? Cities near Raleigh, NC with the most Remote Data Annotation Specialist job openings:
Remote Data Annotation Specialist jobs near you
Remote Equity Research Analyst - AI Trainer ($50-$60 per hour)

Remote Equity Research Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Rolesville, NC • Remote

$50 - $60/hr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an opportunity to work with us as an independent contractor.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.

In this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
  • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work
  • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.
  • Share clear, structured feedback to help make each new version of the AI smarter and more reliable.

To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at USD $50-$60 per hour, with bonus rates available on some projects

Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Master's and/or PhD is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

Apply