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Manager Data Annotation Ai Content Writer Jobs in Raleigh, NC

SEO/GEO Content Writer

Raleigh, NC ยท On-site

$66K - $75K/yr

... AI tools to support the creative process. Your editorial eye will ensure every piece meets our ... Manage multiple projects and topics simultaneously, seamlessly moving from niche to niche as needed ...

Writer

Durham, NC ยท On-site

$73K - $94K/yr

... content tailored to specific audiences. The writer brings curiosity and creativity to their role, and uses AI tools while maintaining editorial standards. You will report to the Senior Manager ...

Writer

Durham, NC ยท On-site

$73K - $94K/yr

... content tailored to specific audiences. The writer brings curiosity and creativity to their role, and uses AI tools while maintaining editorial standards. You will report to the Senior Manager ...

Writer

Durham, NC ยท Hybrid

$73K - $94K/yr

... content tailored to specific audiences. The writer brings curiosity and creativity to their role, and uses AI tools while maintaining editorial standards. You will report to the Senior Manager ...

Writer

Durham, NC ยท Hybrid

$73K - $94K/yr

... content tailored to specific audiences. The writer brings curiosity and creativity to their role, and uses AI tools while maintaining editorial standards. You will report to the Senior Manager ...

Speakers/Writers

Cary, NC ยท On-site

$15 - $60/hr

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams ... Korean content generated by AI. This position allows for flexible scheduling, and your ...

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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:
What are popular job titles related to Manager Data Annotation Ai Content Writer jobs in Raleigh, NC? For Manager Data Annotation Ai Content Writer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Manager Data Annotation Ai Content Writer jobs in Raleigh, NC look for? The top searched job categories for Manager Data Annotation Ai Content Writer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Manager Data Annotation Ai Content Writer jobs? Cities near Raleigh, NC with the most Manager Data Annotation Ai Content Writer job openings:
Sr. Accountant - AI Content Writer - Remote

Sr. Accountant - AI Content Writer - Remote

micro1 AI

Cary, NC โ€ข Remote

$110K - $150K/yr

Part-time

Medical, Retirement, PTO

Posted 18 days ago


Job description

Job Title: Senior Accountant


Job Type: Full-time


Location: Remote


Job Summary:


We are seeking a Senior Accountant to own our general ledger and month-end close processes. You will be part of our financial reporting function โ€” ensuring books are accurate, close timelines are met, and the integrity of our financial data supports confident decision-making at every level of the organization.


Key Responsibilities:


  1. Own the end-to-end month-end close process, including preparation and posting of journal entries, accruals, and adjustments
  2. Maintain and reconcile the general ledger, investigating and resolving discrepancies promptly
  3. Prepare monthly, quarterly, and annual financial statements in accordance with GAAP
  4. Perform balance sheet reconciliations and ensure all accounts are substantiated and documented
  5. Support external audits by preparing schedules, documentation, and reconciliations
  6. Identify and implement improvements to the close process to reduce cycle time and increase accuracy
  7. Partner with leadership to ensure financial data is audit-ready and decision-ready at all times
  8. Maintain and strengthen internal controls around the close and reporting cycle


Required Skills and Qualifications:


  1. Bachelorโ€™s degree in Accounting or Finance; CPA or CA preferred
  2. 3-5 years of accounting experience with a clear focus on G/L and month-end close
  3. Hands-on experience with ERP/accounting system
  4. Strong command of Google Sheets and Excel
  5. Deep knowledge of GAAP, account reconciliation, and financial statement preparation
  6. Strong attention to detail with the ability to manage tight close deadlines without sacrificing accuracy
  7. Excellent written and verbal communication skills in English
  8. Comfortable working independently in a fully remote, fast-paced startup environment


Preferred Qualifications:


  1. CPA license, or progress toward professional certification
  2. Exposure to AI tools or automated accounting workflows


Compensation & Benefits Notice


The national pay range for this full-time position is base salary of $90,000 โ€“$120,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer


The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.