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Data Annotation For Ai Jobs in Kansas (NOW HIRING)

Security Benefit

Senior Data Governance Analyst

Topeka, KS · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're Looking for an experienced Senior Data Governance Analyst - Unstructured Data & AI Readiness! About the Company: Security Benefit is a leader in the U.S. retirement market with more than $60 ...

hcmportal

Senior Data Governance Analyst

Leawood, KS · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're Looking for an experienced Senior Data Governance Analyst -- Unstructured Data & AI Readiness! About the Company: Security Benefit is a leader in the U.S. retirement market with more than $60 ...

Garmin International, Inc.

Data Scientist 2

Olathe, KS · On-site

... and AI solutions. In addition, under guidance or with minimal supervision, this role will apply ... Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to ...

micro1 AI

Commercial Counsel

Overland Park, KS · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

Transaction Attorney

Overland Park, KS · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

Private Funds Attorney - Remote

Kansas City, KS · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

Corporate Funds Legal Consultant

Olathe, KS · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

Corporate Funds Legal Consultant

Kansas City, KS · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

Commercial Counsel

Topeka, KS · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

Corporate Transactions Attorney

Olathe, KS · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

Corporate M&A Associate

Kansas City, KS · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

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Data Annotation For Ai information

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

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For Data Annotation For Ai jobs in Kansas, the most frequently searched job titles are:

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Data Annotation For Ai jobs near you
Infographic showing various Data Annotation For Ai job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Governance Analyst

Security Benefit

Topeka, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

We're Looking for an experienced Senior Data Governance Analyst - Unstructured Data & AI Readiness!
About the Company:
Security Benefit is a leader in the U.S. retirement market with more than $60 billion in assets under management. We offer opportunities to thrive, innovate, and make an impact. As part of our team, you'll play a key role in driving the future of the U.S. retirement industry. Security Benefit is a PLACE where we promise to help our customers To and Through Retirement®.
We're proud to have been recognized as one of the best in the business:
  • Named to Ward's 50 list of top-performing life-health insurance companies
  • Recognized on list of Ingram's Top 100 Private Companies in the Kansas City area in 2024

About the Role:
As a Senior Data Governance Analyst - Unstructured Data & AI Readiness you will serve as a recognized subject matter expert on Security Benefit's Data Governance team, owning the operationalization of governance practices for unstructured content - including documents, email, collaboration platforms, and cloud repositories. You will ensure enterprise information is trusted, compliant, and optimized for AI and Retrieval-Augmented Generation (RAG) use cases, while driving Information Lifecycle Management (ILM) program execution across the organization. This role sits at the intersection of traditional records and retention governance and next-generation AI readiness, making it a critical enabler of Security Benefit's data strategy and its $60 billion asset management mission.
This role reports to the AVP, Data Strategy & Enablement and sits within the Data Governance chapter, providing governance services and standards across Agile Product Teams. It can be performed remotely or in a hybrid capacity from our Topeka or Overland Park, Kansas offices.
  • Lead operationalization of unstructured data governance across AWS-based cloud platforms, SharePoint, OneDrive, and other enterprise content stores - supporting Data Owners and Stewards in classifying, sensitivity-labeling, and retention-tagging content for AI fitness, regulatory compliance, and eDiscovery readiness
  • Enable trusted use of unstructured data in AI, analytics, and RAG solutions; collaborate with the Gen AI & Innovation team and enterprise Risk function to provide governance inputs into AI intake processes, risk assessments, and data asset inventories
  • Execute information lifecycle workflows including classification, retention scheduling, disposition, and audit readiness across enterprise content platforms; administer legal hold placement and release under Legal's direction
  • Support administration and user adoption of Microsoft Purview for sensitivity labeling and information protection across Microsoft 365 and connected platforms
  • Develop and maintain metadata taxonomies, classification schemas, and controlled vocabularies for unstructured content; administer and extend enterprise data catalog coverage to include unstructured content assets
  • Serve as governance SME for Security Benefit's FSx-to-SharePoint migration initiative, ensuring governance standards - site architecture, content taxonomy, sensitivity labeling, and retention controls - are designed into the platform from the ground up
  • Develop and advocate for automated and AI/ML-assisted tagging and classification approaches using Microsoft Purview auto-labeling, SharePoint Syntex, and comparable platform-native capabilities to minimize manual burden on business users
  • Partner with Data Owners, Stewards, Legal, Privacy, Platform Architecture, and data teams to design workflows and automation supporting unstructured data classification, retention controls, and access governance
  • Develop and deliver training materials, adoption guides, and governance communications to business and technology stakeholders on unstructured data governance standards and tooling
  • Mentor and provide technical guidance to IC 1/IC 2 Governance Analysts on classification, metadata, and stewardship practices

What We're Looking For:
  • Bachelor's degree in Information Management, Data Science, Library & Information Science, Computer Science, Business Administration, or a related field
  • 5-7 years of experience in data governance, information management, records management, data operations, or a closely related discipline
  • Working knowledge of unstructured data governance concepts including metadata management, content classification, sensitivity labeling, information lifecycle management, legal hold, and records retention
  • Hands-on experience with one or more enterprise content platforms: SharePoint Online, OneDrive, Slack, or comparable cloud content repositories
  • Demonstrated SharePoint Online expertise including site architecture, content types, managed metadata term stores, permission modeling, and document library governance; experience supporting SharePoint migrations from on-premises or legacy file share environments (e.g., FSx) strongly preferred
  • Familiarity with Microsoft Purview (or predecessor tools: Azure Information Protection, MIP) for sensitivity labeling and compliance management; willingness to develop deep proficiency required
  • Automation-first orientation: evaluates AI/ML-assisted and platform-native automation options (e.g., Purview auto-labeling, SharePoint Syntex, Power Automate) before recommending manual processes
  • Exposure to data catalog or metadata management tooling (e.g., Collibra, Alation, Informatica, or similar); willingness to develop proficiency in Security Benefit's selected platform required
  • Strong analytical and problem-solving skills; comfortable operating in ambiguous, fast-moving environments with competing priorities
  • Strong written and verbal communication skills; proven ability to translate complex governance concepts for both technical and non-technical audiences
  • Understanding of AI/ML governance concepts, including data readiness for RAG architectures, is a meaningful differentiator
  • Experience in financial services or a regulated data environment preferred; familiarity with SQL, Python, or scripting for data profiling and quality validation a plus

Why Choose Security Benefit?
When you join our team, you're not just getting a paycheck - you're getting a career path full of growth opportunities, plus a robust benefits package that puts your well-being first. Here's what you can expect as a full-time Security Benefit associate:
  • Competitive salary and annual incentive bonuses to reward your contributions.
  • 33 days of paid time off (including PTO, holidays, Volunteer Day, and days of significance).
  • Paid parental leave after 90 days of service.
  • Comprehensive medical, dental & vision insurance.
  • 401(k) with company match, plus Profit Sharing & Savings Plan.
  • Short- and Long-Term Disability Insurance to give you peace of mind.
  • Flexible Spending Accounts for medical and dependent care.
  • Life Insurance to protect your loved ones.
  • Educational assistance to support your career development.
  • Associate assistance programs for your personal and professional well-being.

Ready to Make an Impact?
Apply today by visiting our career page to submit your resume. We're excited to meet you!
Security Benefit is an Equal Opportunity Employer.

Apply