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Manager Data Annotation Ai Content Writer Jobs in Raleigh, NC

Telus Digital

Manager, Data & AI Strategy

Durham, NC · On-site

$122K - $143K/yr

The Opportunity The Manager, Data & AI Strategy leads the delivery of TELUS Digital's Data & AI advisory engagements, owning client relationships and driving outcomes across AI strategy, data ...

RELX Group plc

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Our company has been a long-time leader in deploying AI and advanced technologies to the legal ... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Our company has been a long-time leader in deploying AI and advanced technologies to the legal ... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ...

RELX

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

Our company has been a long-time leader in deploying AI and advanced technologies to the legal ... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

Our company has been a long-time leader in deploying AI and advanced technologies to the legal ... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ...

LexisNexis

Manager Data Science

Raleigh, NC

$115K - $192K/yr

Our company has been a long-time leader in deploying AI and advanced technologies to the legal ... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ...

ReFibuy, Inc.

Content Marketing Manager

Raleigh, NC · On-site

The Opportunity We're hiring a Content Marketing Manager to help ReFiBuy clearly explain one of the ... data, or AI. * Excellent writing and editing across long-form and short-form formats, from ...

Genesys

Senior Enablement Content Manager

Durham, NC · On-site +1

Our platform connects people, systems, data and AI to help organizations deliver more personalized ... Excellent written and verbal communication skills. Preferred Qualifications * Seismic ...

Magnitudesoftware

Senior Content Strategist

Raleigh, NC · On-site

... management solutions that unlock the potential of business data and transform the way finance and ... AI is not an add-on in this role - it is core to how this person works, produces, and scales. The ...

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All JobsData Annotation Ai Content Writer JobsManager Data Annotation Ai Content Writer JobsManager Data Annotation Ai Content Writer Jobs in Raleigh, NC

Manager Data Annotation Ai Content Writer information

See Raleigh, NC salary details

$13

$39

$96

How much do manager data annotation ai content writer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for manager data annotation ai content writer in Raleigh, NC is $39.33, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $45.10 per hour, depending on experience, location, and employer.

Is data annotation AI a legit company?

Data annotation for AI is a common service provided by many reputable companies that specialize in labeling data for machine learning models. When evaluating a specific company, it is important to check for verified reviews, industry reputation, and transparent business practices to determine legitimacy.

What is the difference between Manager Data Annotation Ai Content Writer vs Data Annotation Specialist?

AspectManager Data Annotation Ai Content WriterData Annotation Specialist
CredentialsBachelor's degree in relevant field, experience in AI content creationHigh school diploma or equivalent, training in data annotation tools
Work EnvironmentTeam management, project oversight, collaboration with AI developersData labeling tasks, working with annotation tools, individual or team-based
Industry UsageAI development companies, tech firms, content creation agenciesAI companies, data labeling firms, machine learning teams
Search & Comparison IntentUnderstanding managerial roles in AI content creationHands-on data annotation tasks and skills

The Manager Data Annotation Ai Content Writer oversees annotation projects and manages teams, focusing on strategy and quality control. In contrast, a Data Annotation Specialist performs the actual labeling work, ensuring data accuracy. Both roles are essential in AI development but differ in responsibilities and experience requirements.

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

To thrive as a Manager Data Annotation AI Content Writer, you need expertise in data annotation processes, strong written communication, and a background in linguistics, computer science, or a related field. Familiarity with annotation tools (such as Labelbox or Prodigy), project management software, and knowledge of AI/NLP frameworks are typically required, along with certifications in data science or project management being advantageous. Outstanding organizational skills, attention to detail, and the ability to lead and train diverse teams help you excel in this role. These competencies ensure high-quality annotated datasets, efficient workflow management, and the effective development of AI-powered language models.

How does a Manager Data Annotation AI Content Writer typically collaborate with cross-functional teams to ensure high-quality AI training data?

A Manager Data Annotation AI Content Writer works closely with data scientists, machine learning engineers, and project managers to define annotation guidelines, review data quality, and align content with AI model requirements. Regular meetings and feedback sessions help ensure annotated data meets project goals and standards. Additionally, this role often provides training and support to annotation teams, fostering clear communication and continuous process improvement. This collaborative approach is crucial for maintaining accuracy and consistency in AI training datasets.

How much do AI content writers make?

AI content writers, including those specializing in data annotation for AI, typically earn between $40,000 and $80,000 annually, depending on experience, location, and the complexity of tasks. Entry-level positions may start lower, while experienced writers with specialized skills can earn higher salaries or freelance rates. Compensation often includes remote work options and flexible schedules.

How hard is it to get hired by data annotation?

Getting hired as a data annotation AI content writer typically requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, but strong communication skills and the ability to follow guidelines are important. Competition varies depending on the company and location, but opportunities are generally accessible for those with relevant skills and a willingness to learn.

What is a Manager Data Annotation AI Content Writer?

A Manager Data Annotation AI Content Writer is a professional who oversees teams responsible for labeling data, such as text, images, or audio, to train artificial intelligence models. In addition to managing the data annotation process, they also create, edit, and optimize content that guides AI systems in understanding language and context. This role requires both leadership and technical skills, ensuring high-quality annotated datasets and effective communication with cross-functional teams. They play a crucial part in improving the accuracy and performance of AI-driven content and applications.

How much does an AI data annotator make?

An AI data annotator typically earns between $12 and $20 per hour, depending on experience, location, and the complexity of annotation tasks. Many roles are remote and may require basic computer skills and attention to detail.
What are the most commonly searched types of Data Annotation Ai Content Writer jobs in Raleigh, NC? The most popular types of Data Annotation Ai Content Writer jobs in Raleigh, NC are:
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Manager Data Annotation Ai Content Writer jobs near you
Toxicology AI Content Reviewer - Remote

Toxicology AI Content Reviewer - Remote

micro1 AI

Durham, NC • Remote

$50 - $90/hr

Part-time

Posted 14 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.

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