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Ai Data Labeling Jobs in Raleigh, NC (NOW HIRING)

Description We are seeking a detail-oriented Data Labeling Specialist temporarily (6 months) to ... Familiarity with AI, machine learning, or annotation tools is a plus, but not required. Physical ...

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business ...

... Data is the data platform company for the AI era. We are building the enterprise software ... label, VAST software installation, cluster re-location. expansions, and the occasional break-fix ...

Responsible AI Governance Specialist

Raleigh, NC · On-site

$15.75 - $21/hr

Maintain evidence packages for AI labeling and user disclosure, including screenshots, user ... Knowledge of data privacy and regulatory requirements, including CCPA, GDPR, emerging AI ...

New

Vice President, Data Science

Raleigh, NC · On-site

$177K - $350K/yr

The role exists to ensure AI/ML strategy is sound and that analytical models are correct ... noisy labels, and evolving schemas. * Strong understanding of production ML system design ...

The role exists to ensure AI/ML strategy is sound and that analytical models are correct ... noisy labels, and evolving schemas. * Strong understanding of production ML system design ...

Cyber Data Protection Manager

Raleigh, NC · Remote

$107K - $145K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

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Ai Data Labeling information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior data scientist, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles usually involve leading projects, developing algorithms, and strategic decision-making in AI development, with compensation reflecting the seniority and impact of the position.

What is an AI Data Labeling job?

An AI Data Labeling job involves annotating or tagging data (such as images, text, audio, or video) to train machine learning models. Labelers categorize, classify, or highlight data based on specific guidelines to help AI understand patterns and make accurate predictions. This process is crucial for supervised learning, where models learn from labeled examples. AI Data Labeling jobs are common in industries like healthcare, finance, and autonomous vehicles. Attention to detail and consistency are key skills for success in this role.

What are the key skills and qualifications needed to thrive in the Ai Data Labeling position, and why are they important?

To thrive as an AI Data Labeling professional, you need strong attention to detail, analytical thinking, and the ability to follow precise guidelines, typically backed by a high school diploma or higher. Familiarity with annotation tools such as Labelbox, Supervisely, or internal labeling platforms, as well as basic understanding of data privacy practices, is often required. Patience, reliability, and good communication skills are important soft skills for consistently delivering high-quality labeled datasets and working effectively with team members. These skills ensure accurate data preparation for training AI models, directly impacting the model’s performance and the success of machine learning projects.

How much do AI labelers make?

AI data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are freelance or part-time, often requiring familiarity with labeling tools and attention to detail.

What does an AI data labeler do?

An AI data labeler is responsible for annotating and categorizing data such as images, videos, or text to help train machine learning models. This role requires attention to detail and familiarity with labeling tools, often working remotely with flexible schedules. Accurate labeling is essential for improving AI system performance.

Is data labelling a good career?

Data labeling is a viable entry-level job in the AI industry, involving annotating data to train machine learning models. It requires attention to detail and familiarity with labeling tools, and can offer flexible schedules and remote work options. However, it is often considered a stepping stone to more advanced roles in data science or AI development.

What are typical daily tasks for an AI Data Labeling professional?

As an AI Data Labeling professional, your primary responsibilities include reviewing raw images, audio, or text data and accurately tagging or classifying them based on set guidelines provided by your employer. You may also be required to flag ambiguous cases or data anomalies and provide feedback to improve labeling instructions. Collaboration with data scientists or machine learning engineers is common to ensure your work aligns with project needs. Maintaining high accuracy while meeting productivity goals is essential for success in this role.

What are the most commonly searched types of Ai Data Labeling jobs in Raleigh, NC? The most popular types of Ai Data Labeling jobs in Raleigh, NC are:
What are popular job titles related to Ai Data Labeling jobs in Raleigh, NC? For Ai Data Labeling jobs in Raleigh, NC, the most frequently searched job titles are:
Infographic showing various Ai Data Labeling job openings in Raleigh, NC as of July 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 100% In-person job distribution.
Data Labeling Specialist

Data Labeling Specialist

Vadum Inc

Raleigh, NC • On-site

Other

Posted 8 days ago


Job description

Description

 We are seeking a detail-oriented Data Labeling Specialist temporarily (6 months) to support image annotation projects. In this role, you will review images and accurately assign the appropriate labels based on provided guidelines. 


 Job Duties and Responsibilities


Review and analyze images.

Apply accurate labels according to project instructions and quality standards.

Maintain high levels of accuracy and consistency across assigned tasks.

Follow labeling guidelines and update annotations as needed based on feedback.

Meet productivity and quality targets while ensuring attention to detail.


Other Duties

May be required to perform other duties as assigned by management, which are reasonably within the scope of the position.

Requirements

  • Strong logical thinking and problem-solving skills.
  • Ability to visually identify objects and distinguish fine details in images.
  • Excellent attention to detail and accuracy.
  • Ability to follow detailed instructions and labeling guidelines.
  • Basic computer skills and ability to work independently.
  • Previous experience in data labeling, image annotation, or quality assurance.
  • Familiarity with AI, machine learning, or annotation tools is a plus, but not required.

Physical Demands

  • Work is sedentary and usually accomplished while sitting at a desk and working on a computer.
  • Some walking and standing may occur in the course of a normal workday to attend meetings.
  • Items carried typically are light objects weighing less than 15 lbs. such as a notebook, laptop, backpack.
  • Lifting moderately heavy objects is not normally required.
  • Work requires ability to operate standard office and computer equipment.

Work Environment

  • Work is performed in an office environment.


Travel

  • None.