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Manager Data Annotation Ai Content Writer Jobs in Wisconsin

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

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Research and evaluate business software (ERPs, inventory systems, project management tools, and ... We've built AI heavily into our research and drafting workflows (Claude plus custom internal ...

The Content Marketing Writer is a dedicated writing role within the Bostik Industrial Adhesives ... Reporting to the Senior Content Marketing Manager, this position supports Bostik's three industrial ...

The Content Marketing Writer is a dedicated writing role within the Bostik Industrial Adhesives ... Reporting to the Senior Content Marketing Manager, this position supports Bostik's three industrial ...

The Content Marketing Writer is a dedicated writing role within the Bostik Industrial Adhesives ... Reporting to the Senior Content Marketing Manager, this position supports Bostik's three industrial ...

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Manager Data Annotation Ai Content Writer information

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?

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 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 most commonly searched types of Data Annotation Ai Content Writer jobs in Wisconsin? The most popular types of Data Annotation Ai Content Writer jobs in Wisconsin are:
What are popular job titles related to Manager Data Annotation Ai Content Writer jobs in Wisconsin? For Manager Data Annotation Ai Content Writer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Manager Data Annotation Ai Content Writer jobs in Wisconsin look for? The top searched job categories for Manager Data Annotation Ai Content Writer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Manager Data Annotation Ai Content Writer jobs? Cities in Wisconsin with the most Manager Data Annotation Ai Content Writer job openings:
Infographic showing various Manager Data Annotation Ai Content Writer job openings in Wisconsin as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

AI/ML Data Contributor

TSMG

Milwaukee, WI

Full-time

Re-posted 9 days ago


Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.