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Full Time Ai Data Annotation Jobs in Raleigh, NC

Senior Data Engineer

Raleigh, NC · On-site

$91K - $163K/yr

Design, develop, and deploy AI-powered solutions to address complex business challenges with an ... The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

You will have a full-time remote opportunity with Avalara based in the United States of America ... Design scalable architecture patterns for AI-enabled workflows and agentic processes across data ...

You will have a full-time remote opportunity with Avalara based in the United States of America ... Design scalable architecture patterns for AI-enabled workflows and agentic processes across data ...

Principal Architect - Enterprise AI

Durham, NC · On-site +1

$153K - $306K/yr

You will have a full-time remote opportunity with Avalara based in the United States of America ... vendor selection; data access; security; and responsible AI adoption. • Design scalable ...

Principal Architect - Enterprise AI

Durham, NC · On-site +1

$126K - $244K/yr

You will have a full-time remote opportunity with Avalara based in the United States of America ... vendor selection; data access; security; and responsible AI adoption. • Design scalable ...

W2 only, 12-month contract with potential for extension or conversion to full time with the client ... Familiarity with LLM-based automation or AI-assisted analytics. * Experience supporting Commercial ...

Senior Data Engineer

Raleigh, NC · Hybrid

$91K - $163K/yr

Use enterprise-approved AI tools and coding assistants to streamline development workflows ... The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

Senior Data Engineer

Raleigh, NC · On-site

$91K - $163K/yr

Use enterprise-approved AI tools and coding assistants to streamline development workflows ... The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

Showing results 41-60

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 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:
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.

Senior Data Engineer

UnitedHealth Group

Raleigh, NC • On-site

$91K - $163K/yr

Full-time

Retirement

Re-posted 6 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

186th of 887 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best.Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale.Join us to start Caring. Connecting. Growing together.
You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible use of AI
  • Architect and optimize complex ETL processes and data pipelines using Databricks (Spark, SQL, Python) or other enterprise-scale integration tools to ensure high-performance processing of large-scale datasets
  • Evaluate emerging trends in ETL frameworks and AI to inform solution design and drive strategic innovation within the analytics platform
  • Use enterprise-approved AI tools to automate data engineering workflows, streamline ETL maintenance, and drive continuous improvement in engineering velocity
  • Implement advanced data modeling techniques, such as star schemas and incremental loads, to ensure data integrity and scalability across all ETL layers
  • Build and maintain executive-level dashboards and semantic models in Power BI, ensuring seamless data flow from backend ETL processes to end-user visualizations
  • Partner with product and business leaders to translate complex business requirements into robust, automated data integration solutions
  • Lead technical coordination within a global delivery model, ensuring consistency and quality of ETL standards across onshore and offshore teams
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's degree or equivalent experience
  • 6+ years of experience in analytics engineering, business intelligence, or data engineering roles delivering enterprise-scale analytics solutions
  • 5+ years of Cloud experience (Azure, GCP, AWS, or OCI)
  • 5+ years of experience in programming languages such as Python, Java, etc.
  • 4+ years of hands-on experience using Databricks (Spark, SQL, Python, notebooks) or other major ETL platforms to build and optimize large-scale data pipelines
  • 4+ years of experience in data modeling (star schemas, semantic modeling, incremental loads, large datasets) and advanced SQL
  • 1+ years of experience delivering AI-driven analytics or data solutions

Preferred Qualifications:
  • Healthcare industry experience, specifically in clinical or real-time analytics
  • Experience with ETL orchestration tools (e.g., Airflow, Azure Data Factory) and managing data lineage in governed environments
  • Experience developing AI-driven automations or integrating large language models (LLMs) into data products and ETL workflows
  • Experience with Power BI, Tableau or other visualization tools, including advanced DAX, Power Query, and semantic modeling
  • Demonstrated experience working in global delivery models with effective onshore-offshore collaboration
  • Proven ability to solve complex technical problems with a focus on data processing efficiency and system scalability

All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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