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Manager Data Annotation Ai Content Writer Jobs in Raleigh, NC

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead ...

Bandwidth

AI Knowledge Manager

Raleigh, NC

$141K/yr

The AI Knowledge Manage r ensures content in Bandwidth's Support Center and internal knowledge base ... Ability to write light SQL or use data tools to surface content performance signals. The Whole ...

Bandwidth

AI Knowledge Manager

Raleigh, NC · On-site

$141K/yr

The AI Knowledge Manage r ensures content in Bandwidth's Support Center and internal knowledge base ... Ability to write light SQL or use data tools to surface content performance signals. The Whole ...

Bandwidth

AI Knowledge Manager

Raleigh, NC

$141K/yr

The AI Knowledge Manage r ensures content in Bandwidth's Support Center and internal knowledge base ... Ability to write light SQL or use data tools to surface content performance signals. The Whole ...

SAS

Technical Writer

Cary, NC · On-site +1

Technical Writer- Hybrid in Cary, North Carolina or Remote in NC We're a leader in data and AI ... In addition to writing content, documentation development might include auto-generation, reliance ...

SAS

Technical Writer

Cary, NC · On-site

Technical Writer- Hybrid in Cary, North Carolina or Remote in NC We're a leader in data and AI ... In addition to writing content, documentation development might include auto-generation, reliance ...

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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 16, 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

Manager, Data Engineer (Remote)

Archgroup

Raleigh, NC • Remote

$100K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Job Summary

Strategic Analytics at Arch is a growing team at the forefront of the company's AI transformation. We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets and AI-assisted development practices. These capabilities are becoming increasingly embedded across the enterprise.

Data is central to our mission. We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both traditional analytics and emerging AI use cases.

As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead end-to-end delivery of complex data pipelines that put analytics at the center of business processes. This is a hands-on role that combines execution, technical leadership, and stakeholder partnership, including leading and developing a team of data engineers.

You will work closely with business and technical leaders to align priorities, shape scalable data solutions, and deliver measurable outcomes. You will also guide engineers and reinforce strong delivery practices, while advancing the team's capabilities in modern data engineering, AI-assisted development, and well-governed, reusable data systems.

Responsibilities

  • Lead delivery of high-quality data solutions by partnering with stakeholders and coachingdataengineers.

  • Own end-to-end data engineering delivery across the project lifecycle.

  • Build strong partnerships across the organization to align priorities anddeliverdata-related goals.

  • Design clear, analytics-ready data structures byanticipatingdownstream analytical needs.

  • Evaluate and adoptnew technologiesand data sources to improve capability and efficiency.

  • Automate data ingestion and integration to reliably connect internal and external data sources.

  • Document data sources, definitions, and technical solutions to support transparency and reuse.

  • Reinforce strong delivery hygiene (version control, code review, automated testing, CI/CD, and operational readiness/monitoring).

  • Apply agentic, AI-assisted coding practices to accelerate delivery whilemaintainingappropriate controls.

  • Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access.

  • Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed.

Desired Skills

Data Engineering

  • Strong programmingexpertisein Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices

  • Apache Sparkproficiency(PySparkpreferred) and experience with distributed data processing, including building scalable pipelines andoptimizingperformance for large-scale datasets

  • Cloud data platformproficiency(Snowflake, Databricks, Azure ecosystem fundamentals)

  • Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization)

  • Data quality and observability practices (testing, reconciliation, monitoring)

Analytics & AI Readiness

  • Insurance data modelingforanalytics and actuarial-ready data structures

  • MLOpsfamiliarity supporting operationalized analytics and models

  • Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models)

  • Business definition standardization for reuse across BI and AI use cases

Leadership &Operating Model

  • Self-directed execution and ownership in a distributed environment, combined with strong cross-functional collaboration, stakeholder partnership, and team building

  • Strong problem-solving and critical thinking skills, including the ability to decompose complex challenges

  • Clear communication across technical and business audiences, with the ability to adapt effectively in ambiguous and evolving environments

Required Skills

  • 6+years' experienceofhands-on development in Python and distributed processing environments (e.g., Spark)

  • 2-3+ years of technical leadership or project delivery ownership experience

  • Hands-on Databricks experience highly preferred

Education

  • College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent.

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$100,500 - $174,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

10200 Arch Capital Services LLC

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