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Hourly Ai Data Annotation Jobs in Raleigh, NC (NOW HIRING)

Vadum Inc

Data Labeling Specialist

Raleigh, NC · On-site

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 ...

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Data Discovery and Enrichment Expert II

Raleigh, NC · On-site +1

$71K - $119K/yr

Data Discovery and Enrichment Experts provide annotation, evaluation, and feedback to their partners which are critical to the development of these solutions.Examples of the innovative AI initiatives ...

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Hourly Ai Data Annotation information

What is an Hourly AI Data Annotation job?

An Hourly AI Data Annotation job involves labeling, tagging, or categorizing data—such as images, text, or audio—to help train machine learning models. Annotators follow specific guidelines to ensure that the data is accurately labeled so that AI systems can learn to recognize patterns and make decisions. These jobs are typically paid by the hour and may require attention to detail, consistency, and sometimes familiarity with specialized annotation tools. This work is essential for improving the accuracy and usefulness of artificial intelligence applications.

What are some common challenges faced by hourly AI data annotators, and how can they be managed?

Hourly AI data annotators often encounter challenges such as repetitive tasks, maintaining high accuracy under time constraints, and adapting to evolving project guidelines. To manage these, it's important to take regular breaks to avoid fatigue, stay up to date with training materials, and communicate proactively with team leads if instructions are unclear. Many teams use collaborative tools and regular feedback sessions to support annotators and ensure consistent quality, making teamwork and attention to detail vital for success in this role.

What are the key skills and qualifications needed to thrive as an AI Data Annotator, and why are they important?

To thrive as an AI Data Annotator, you need strong attention to detail, accuracy, and a basic understanding of data labeling concepts, typically supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox or Supervisely, and basic computer proficiency, are often required. Critical thinking, consistency, and effective communication are valuable soft skills in this role. These skills ensure high-quality, reliable data that directly improves the performance of AI and machine learning models.

What is the difference between Hourly Ai Data Annotation vs Data Labeler?

AspectHourly Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or in-office, flexible hoursRemote or in-office, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI training, often with specific instructionsLabeling data to help AI models learn, often similar tasks

Hourly Ai Data Annotation and Data Labeler roles are similar, focusing on preparing data for AI systems. The main difference lies in terminology; 'Hourly Ai Data Annotation' emphasizes the paid hourly aspect and the specific task of annotating data for AI training, while 'Data Labeler' is a broader term used interchangeably in the industry. Both roles require similar skills and are used in the same industry sectors.

What are the most commonly searched types of Ai Data Annotation jobs in Raleigh, NC? The most popular types of Ai Data Annotation jobs in Raleigh, NC are:
What are popular job titles related to Hourly Ai Data Annotation jobs in Raleigh, NC? For Hourly Ai Data Annotation jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Hourly Ai Data Annotation jobs in Raleigh, NC look for? The top searched job categories for Hourly Ai Data Annotation jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Hourly Ai Data Annotation jobs? Cities near Raleigh, NC with the most Hourly Ai Data Annotation job openings:
Hourly Ai Data Annotation jobs near you
Infographic showing various Hourly Ai Data Annotation job openings in Raleigh, NC as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution.
Senior Manager - AI & Data Delivery, Life Sciences (1280)

Senior Manager - AI & Data Delivery, Life Sciences (1280)

Axtria, Inc.

Raleigh, NC • On-site

$119K - $163K/yr

Full-time

Posted 4 days ago

Job description

Introduction

Axtria is a leading global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.

Since our founding in 2010, innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable clients to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations.  We work with over 100 Life Sciences companies, many with multiple engagements globally across 75+ countries. We continue to win industry recognition for growth and are featured in some of the most aspirational lists – INC 5000, Deloitte FAST 500TM, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.

Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Axtria is recognized for its organizational culture in both US and India, including certification by the Great Place to Work® Institute.  Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every Axtrian is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next?

About the Role

We are looking for a delivery-focused Senior Manager – AI & Data Delivery, Life Sciences to own the end-to-end delivery of AI and data solutions for pharmaceutical clients. You'll work closely with commercial business and technical stakeholders, Data and AI Architects, and Engineers, guiding solutions through the full development lifecycle, from planning through deployment.

This is a delivery ownership role built on strong project management, cross-functional coordination, and clear, consistent communication of timelines, quality, and stakeholder outcomes.

Key Responsibilities

  • Own end-to-end delivery of AI and data solutions, ensuring quality, timelines, and client satisfaction.
  • Coordinate across data, engineering, and business teams to keep delivery on track.
  • Work with pharma commercial domains and its datasets and use SQL, Python, and BI tools (Tableau, ThoughtSpot) to review outputs and validate results.
  • Communicate progress, risks, and outcomes clearly to stakeholders and clients.

Skills & Qualifications

  • Strong project management and organizational skills, with the ability to own delivery timelines.
  • Good stakeholder communication and cross-functional coordination skills.
  • Proficiency in SQL and Python, with BI tools such as Tableau or ThoughtSpot.
  • Strong understanding of pharmaceutical commercial domains and its datasets.
  • Understanding data and AI development lifecycle (Data Modeling, pipeline development, prompt and context engineering, evaluation, validation) and a strong willingness to learn cloud/data platforms.
  • Bachelor’s degree in Life Sciences, Computer Science, Information Systems, Engineering, or a related field

Experience

  • 6–8+ years of experience in delivery management, project management, and data/BI roles.
  • Experience within pharma or life sciences and managing cross-functional or client-facing delivery.

Eligibility

  • Open to candidates based in, or willing to work from, the Raleigh, NC area (hybrid).
  • Must be authorized to work in the United States.

Pay Transparency Laws 
Salary range or hourly pay range for the position 
The salary range for this position is $119,500 to $163,875 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. 
The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location. 

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