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Manager Data Annotation Ai Content Writer Jobs (NOW HIRING)

galore staffing

As an AI Content Writer, you'll be at the heart of our creative engine. You will: * Collaborate Creatively: Work side-by-side with seasoned AI engineers and content creators to craft compelling ...

ProSites

SEO & AI Content Writer

Pembroke Pines, FL · On-site +1

$56K - $74K/yr

The SEO and AI Content Writer is a motivated individual with proven writing, proofreading, and ... Other duties assigned by management. * Regular and reliable attendance is expected as this is a ...

Innodata Inc.

$55 - $60/hr

We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to ... You'll administer the annotation toolchain, manage annotation workflows across the corpus, and ...

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Manager Data Annotation Ai Content Writer information

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

As of Aug 23, 2026, the average hourly pay for manager data annotation ai content writer in the United States is $40.46, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $46.39 per hour, depending on experience, location, and employer.

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.

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

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.

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.

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Manager Data Annotation Ai Content Writer jobs near you
Infographic showing various Manager Data Annotation Ai Content Writer job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $84,151 per year, or $40.5 per hour.

AI Content Writer

galore staffing

Contractor

Re-posted 25 days ago

Job description

Join Galore Creative as an Entry-Level AI Content Writer and Ignite Your Career in the Exciting Intersection of AI and Content Creation!
At Galore Creative, we're not just embracing the future; we're creating it. Our dedicated team of innovators and thinkers is expanding, and we need your unique talents. Dive into the world of artificial intelligence and help us transform the landscape of content creation.
 

Your Role: As an AI Content Writer, you'll be at the heart of our creative engine. You will:

  • Collaborate Creatively: Work side-by-side with seasoned AI engineers and content creators to craft compelling, informative content across a spectrum of industries using cutting-edge AI technologies.
  • Research and Innovate: Dive deep into diverse topics to deliver precise and pertinent information, shaping the content to meet varied client needs.
  • Strategize and Optimize: Develop and refine strategies to enhance our content generation algorithms, ensuring efficiency and effectiveness across different platforms.
  • Edit and Perfect: Rigorously proofread and edit your creations to uphold the highest standards of grammar, spelling, and quality.
  • Stay Ahead: Keep your finger on the pulse of industry trends, best practices, and emerging tech, constantly pushing the boundaries of what our AI can achieve in content generation.
  • Experiment and Enhance: Assist in pioneering experiments and conducting tests that yield insights, driving forward our content generation methodologies.

Your Toolkit:

  • Educational Foundation: A Bachelor’s degree in Communications, Journalism, Computer Science, or a closely related field.
  • Communication Mastery: Exceptional written and verbal communication skills.
  • Research Savvy: Strong capabilities in research and a keen eye for detail.
  • Tech Fluency: A solid understanding of artificial intelligence and natural language processing techniques.
  • Tool Proficiency: Skilled in using various content creation tools and platforms.
  • Team Spirit: Ability to thrive in a team environment and adapt to evolving project requirements.
  • Passion for Writing: A fervent interest in writing and a readiness to embrace and master new technologies.

Galore Creative offers competitive compensation based on factors such as education, qualifications, experience, and performance. The provided pay range represents the lowest to highest compensation reasonably expected at the time of posting, which may be subject to future modifications.

We are drug free and an equal opportunity employer and are dedicated to a policy of non-discrimination in employment with regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other classification protected by federal, state, and local laws and ordinances.

This is a fantastic opportunity to work with a dynamic team that embraces a growth mindset, inspires excellence, and encourages teams and leaders to bring their best each day.

If you are looking for a diverse workplace culture and rewarding opportunity to showcase your creative genius, then apply now!