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Full Time Ai Data Annotation Jobs in Raleigh, NC

Vadum, Inc.

Data Labeling Specialist

Raleigh, NC · On-site

$10/hr

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

Vadum Inc

Data Labeling Specialist

Raleigh, NC · On-site

$12 - $15/hr

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 ...

Vadum Inc

Data Labeling Specialist

Raleigh, NC · On-site

$12 - $15/hr

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

Infosys Limited Digital

AI Architect

Raleigh, NC · On-site

We focus on adopting a data-first approach to engineering and value-stream management, enabling ... Benefits Along with competitive pay, as a full-time Infosys employee you are also eligible for the ...

RELX

Data Discovery and Enrichment Expert II

Raleigh, NC · On-site +1

$71K - $119K/yr

About the Role This is a full-time role working within the Data Discovery and Enrichment ... Data Discovery and Enrichment Experts provide annotation, evaluation, and feedback to their ...

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... AI-enabled development tools. This is a full-time, in-office position. Responsibilities * Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python.

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... AI-enabled development tools. This is a full-time, in-office position. Responsibilities * Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python.

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... and AI-enabled development tools. This is a full-time, in-office position. * Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python. * Develop SQL ...

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... AI-enabled development tools. This is a full-time, in-office position. Responsibilities * Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python.

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All JobsAi Data Annotation JobsFull Time Ai Data Annotation JobsFull Time Ai Data Annotation Jobs in Raleigh, NC

Full Time Ai Data Annotation information

What are some common challenges faced by full time AI data annotation professionals, and how can they be addressed?

AI Data Annotation professionals often encounter challenges such as maintaining high accuracy while working with large datasets, interpreting ambiguous data, and consistently following complex labeling guidelines. These challenges can be addressed through thorough training, frequent communication with project managers or data scientists, and utilizing annotation tools with built-in quality checks. Collaboration with team members and regular feedback sessions also help ensure consistency and improve overall data quality, making the annotation process smoother and more efficient.

What are the key skills and qualifications needed to thrive as a full time AI data annotation specialist?

To thrive as a Full Time AI Data Annotation Specialist, you need strong attention to detail, basic data literacy, and often a high school diploma or equivalent. Familiarity with annotation platforms (like Labelbox or Supervisely) and understanding of data labeling guidelines are typically required. Patience, consistency, and effective communication are soft skills that help ensure accuracy and clarity in collaborative projects. These skills and qualities are crucial for producing high-quality labeled data, which directly impacts the performance of AI models.

What is a full time AI data annotation job?

Full Time AI Data Annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Annotators play a crucial role in ensuring AI systems understand and process information accurately by providing high-quality, human-curated data. These positions usually require attention to detail, basic computer skills, and the ability to follow specific guidelines for different projects. Full-time roles typically offer stable hours and may be remote or on-site, depending on the employer.

What is the difference between Full Time Ai Data Annotation vs Data Labeler?

AspectFull Time Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentOffice or remote; part of AI development teamsOffice or remote; often task-based or freelance
Industry UsageUsed across AI, machine learning, and data science industriesPrimarily in AI and machine learning industries for data preparation
Job ScopeFull-time, with responsibilities including data annotation, quality control, and collaborationTask-specific, focusing on labeling data accurately for AI training

Full Time Ai Data Annotation roles typically require more consistent hours, team collaboration, and a broader scope of responsibilities compared to Data Labelers, who often work on individual tasks with minimal oversight. Both roles are essential in AI development, but Full Time Ai Data Annotation offers more stability and integration within AI projects.

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 Full Time Ai Data Annotation jobs in Raleigh, NC? For Full Time Ai Data Annotation jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Full Time Ai Data Annotation jobs in Raleigh, NC look for? The top searched job categories for Full Time Ai Data Annotation jobs in Raleigh, NC are:
Full Time Ai Data Annotation jobs near you
Infographic showing various Full Time Ai Data Annotation job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Engineering Specialist - AI

Bright Vision Technologies

Morrisville, NC • Remote

$100K - $150K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Data Engineering Specialist – AI
Location: 100% Remote Role
Position Type: Full-time (Only W2 candidates)
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking an Data Engineering Specialist – AI to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.
Required Qualifications
  • 6+ years of data engineering experience, with significant work supporting ML or AI workloads.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
  • Hands-on experience operating petabyte-scale storage and pipeline systems.
Preferred Qualifications
  • Experience with multimodal datasets at large scale.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.

How to Apply
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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