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Manager Data Annotation Ai Content Writer Jobs in Minnesota

Saint Mary's University

Content Specialist

Minneapolis, MN · On-site

$52K - $60K/yr

Write and edit content for: * Program web pages * Major/degree cards * One-sheets and brochures ... Manage the day-to-day execution of the Student Content Network, a group of student contributors ...

Saint Mary's University

Content Specialist

Minneapolis, MN · On-site

$52K - $60K/yr

Write and edit content for: * Program web pages * Major/degree cards * One-sheets and brochures ... Manage the day-to-day execution of the Student Content Network, a group of student contributors ...

Target

Content Management Sr. Analyst

Minneapolis, MN

$73K - $132K/yr

By applying content and metadata standards and adopting AI-assisted tools and scalable editorial ... Exceptional writing, editing, and proofreading skills with the ability to translate complex ...

HNTB

Senior Technical Writer/Editor

Minneapolis, MN

$83K - $163K/yr

Works with technical staff to format and edit content forprocedures, contractual documents, and management plans. * Edits and formats content written by others, ensuring consistency in writing style ...

Boston Scientific

Data Product Manager

Maple Grove, MN · Hybrid

Ensure enterprise data assets are AI-ready by improving data quality, metadata, lineage, governance, master data management, and semantic consistency, including management of semantic models across ...

Boston Scientific

Data Product Manager

Maple Grove, MN · On-site

Ensure enterprise data assets are AI-ready by improving data quality, metadata, lineage, governance, master data management, and semantic consistency, including management of semantic models across ...

Boston Scientific

Data Product Manager

Maple Grove, MN · Hybrid

Ensure enterprise data assets are AI-ready by improving data quality, metadata, lineage, governance, master data management, and semantic consistency, including management of semantic models across ...

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Manager Data Annotation Ai Content Writer information

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.

What are the most commonly searched types of Data Annotation Ai Content Writer jobs in Minnesota?

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Manager Data Annotation Ai Content Writer jobs near you

Director of Data Analytics and AI

Trelleborg

Plymouth, MN • On-site

$160K - $205K/hr

Full-time

Re-posted 12 days ago

Trelleborg rating

8.2

Company rating: 8.2 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

85th of 544 rated manufacturers

Job description

Tasks and Responsibilities

  • Develop and execute enterprise-wide data, digital, and AI strategy
  • Establish and enforce data governance policies, standards, and frameworks
  • Design and implement master data architecture, models, and hierarchies
  • Ensure master data accuracy and consistency across customer, product, vendor, and operational domains
  • Define and manage processes for creation and maintenance of master data
  • Lead digital transformation initiatives including AI, analytics, and data platforms
  • Identify opportunities for AI-driven optimization in operations and decision-making
  • Develop reporting standards, dashboards, and advanced analytics capabilities
  • Monitor emerging technologies and implement innovative digital solutions
  • Establish AI governance including model lifecycle and risk management
  • Lead, develop, and mentor global data and AI teams
  • Collaborate with cross-functional stakeholders to align initiatives with business priorities
  • Manage Data & AI budget and ensure cost efficiency and ROI
  • Conduct data quality reviews, audits, and continuous improvement initiatives

Education and Experience

  • Degree in Computer Science, Data Science, Information Management, or related field
  • 10+ years of relevant experience in data, analytics, or digital leadership roles
  • Proven experience in data governance and master data management
  • Strong experience in enterprise data architecture and analytics platforms
  • Experience leading digital transformation and AI initiatives
  • Experience in global / multi-site environments
  • Knowledge of data privacy regulations (e.g., GDPR, ITAR)
  • Fluent English (spoken and written)

Competencies

  • Strategic thinking and strong business acumen
  • Leadership and team development capability
  • Strong communication and stakeholder management skills
  • Advanced analytical and problem-solving skills
  • Ability to interpret complex data and drive insights
  • Financial and budget management capability
  • Strong execution and results orientation

Key Performance Indicators

  • Data quality and master data accuracy
  • Adoption of governance frameworks
  • ROI of Data & AI initiatives
  • Improvement in reporting efficiency and time-to-insight
  • Adoption of analytics tools
  • Stakeholder satisfaction

Travel required during key transformation phases, domestic and international (estimated <20%)

What Trelleborg employees say

Pay

Benefits

Hours and flexibility

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