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

Jewelers Mutual Group

AI Team Lead

Raleigh, NC · On-site

About Jewelers Mutual Jewelers Mutual Group has been protecting the jewelry industry for over a ... data stack on Databricks, and an enterprise AI capability designed to change how insurance works.

IQVIA, Inc.

Data Security Architect (Remote)

Durham, NC · On-site +1

$61.50 - $79.25/hr

Define IQVIA's data security approach for AI and LLM-integrated platforms, establishing policy and technical controls governing the safe use of AI capabilities embedded in or connected to data ...

IQVIA

Data Security Architect (Remote)

Durham, NC · Hybrid

$61.50 - $79.25/hr

Define IQVIA's data security approach for AI and LLM-integrated platforms, establishing policy and technical controls governing the safe use of AI capabilities embedded in or connected to data ...

JAGGAER

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

They are hiring an Architect, Data AI to lead the AI/ML initiatives, architect production-grade AI ... Responsibilities : • Set and own the AI/ML technical strategy for the platform -- from model ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

For more information, visit www.jaggaer.com We are hiring a Architect, Data AI to lead the next generation of AI/ML across JAGGAER's Source-to-Pay and Supplier Collaboration platform. You'll set the ...

Jaggaer

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

For more information, visit www.jaggaer.com We are hiring a Architect, Data AI to lead the next generation of AI/ML across JAGGAER's Source-to-Pay and Supplier Collaboration platform. You'll set the ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

For more information, visit www.jaggaer.com We are hiring a Architect, Data AI to lead the next generation of AI/ML across JAGGAER's Source-to-Pay and Supplier Collaboration platform. You'll set the ...

Kimley-Horn

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

This is an in-office opportunity Responsibilities Kimley-Horn is building an enterprise data platform to activate project and operational data for AI, search, analytics, and knowledge access across ...

Kimley-Horn

Senior Data Engineer

Raleigh, NC

$103K - $140K/yr

This is an in-office opportunity Kimley-Horn is building an enterprise data platform to activate project and operational data for AI, search, analytics, and knowledge access across our AEC project ...

Kimley-Horn

Senior Data Engineer

Raleigh, NC

$103K - $140K/yr

This is an in-office opportunity Responsibilities Kimley-Horn is building an enterprise data platform to activate project and operational data for AI, search, analytics, and knowledge access across ...

Kimley-Horn

Senior Data Engineer

Raleigh, NC

$103K - $140K/yr

This is an in-office opportunity Responsibilities Kimley-Horn is building an enterprise data platform to activate project and operational data for AI, search, analytics, and knowledge access across ...

Analogdevices

AI Governance Analyst

Durham, NC

AI Governance Analyst About the Role An AI Governance Analyst helps an organization build, monitor ... For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

Ethical AI Governance : Develop and enforce ethical guidelines and best practices for AI ... D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business ...

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All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Raleigh, NC

Data Annotation For Ai information

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

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

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

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
What are popular job titles related to Data Annotation For Ai jobs in Raleigh, NC? For Data Annotation For Ai jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Annotation For Ai jobs in Raleigh, NC look for? The top searched job categories for Data Annotation For Ai jobs in Raleigh, NC are:
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Data Annotation For Ai jobs near you
Chemical Safety Domain Expert (AI Systems)

Chemical Safety Domain Expert (AI Systems)

micro1 AI

Durham, NC • Remote

$50 - $90/hr

Part-time

Posted 6 days ago

Job description

Role Title: Chemical Safety & Toxicology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Chemical Safety & Toxicology Experts to contribute to a customer’s project focused on enhancing chemical safety evaluation frameworks. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is tailored for professionals with proven backgrounds in chemical weapons nonproliferation, hazardous materials, toxicology, and industrial chemistry—especially those experienced with controlled-substance risks, regulatory protocols, or chemical-risk assessment. Strong communication skills, both written and verbal, are highly valued as you will provide nuanced insights and feedback throughout the engagement.


Scope of Work

  1. Analyze and evaluate data related to chemical safety, toxicological risk, precursor chemicals, and hazardous-substance scenarios.
  2. Review, annotate, and provide critical feedback on documents, datasets, and model outputs related to chemical weapons, toxicology, and hazardous materials.
  3. Contribute expert perspectives on nonproliferation standards, regulatory protocols, and safety operations for chemical handling and risk mitigation.
  4. Develop and refine guidelines for the assessment of chemical and toxicological hazards in realistic and hypothetical situations.
  5. Interpret and explain the implications of chemical interactions, exposure risks, and toxicity profiles for AI training purposes.
  6. Collaborate remotely with project coordinators, providing written and verbal clarifications or additional context as needed.
  7. Identify gaps or inaccuracies in content or model assessments pertaining to chemical safety and toxicology topics.


Preferred Qualifications

  1. Advanced degree (PhD, MD, JD, PsyD, or relevant master’s) in chemistry, toxicology, industrial hygiene, or closely related disciplines.
  2. Minimum 5 years of specialized experience in areas such as chemical weapons nonproliferation, hazardous materials handling, toxicological risk assessment, or chemical safety protocols.
  3. Experience as an independent consultant, policy advisor, response specialist, or safety officer in industry, government, or research settings.
  4. Expertise in controlled substances, precursor risk evaluation, or nonproliferation regulatory frameworks.
  5. Demonstrated ability to communicate complex technical information effectively in both written and verbal formats.
  6. Familiarity with standards for chemical safety, hazardous material management, or toxicology operations in high-stakes environments.
  7. Interest in supporting AI advancement through the application of domain expertise to new and emerging technology platforms.

Apply