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Data Annotation For Ai Jobs in Kansas (NOW HIRING)

WellSky

Data Scientist

Overland Park, KS · On-site

The Data Scientist role focuses on turning clinical conversations into accurate, useful ... for AI/ML or LLM systems (accuracy metrics, human review, annotation, error analysis). * Experience ...

WellSky

Data Scientist

Overland Park, KS · On-site

$2.5K/yr

The Data Scientist role focuses on turning clinical conversations into accurate, useful ... for AI/ML or LLM systems (accuracy metrics, human review, annotation, error analysis). * Experience ...

CrowdStrike

We're proud to work for a mission-driven company leveraging AI to transform the way we work ... CrowdStrike is looking for a Principal Data Engineer with deep expertise in Large Language Models ...

hcmportal

Senior Data Governance Analyst

Leawood, KS · On-site +1

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 ...

Guida's Dairy

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$100K - $137K/yr

Define and track service health, performance, and data quality metrics for AI-enabled services * Configure proactive alerting for degradations or anomalies and integrate with enterprise event ...

RadNet, Inc.

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$98 - $139/hr

Define and track service health, performance, and data quality metrics for AI-enabled services * Configure proactive alerting for degradations or anomalies and integrate with enterprise event ...

New

Locatee AG

$97K/yr

Establish operational guardrails for AI-enabled workflows in partnership with Security, Legal, and Compliance (data handling, PII safety, access controls, prompt injection resilience, human-in-the ...

Locatee Ag

$97K/yr

Establish operational guardrails for AI-enabled workflows in partnership with Security, Legal, and Compliance (data handling, PII safety, access controls, prompt injection resilience, human-in-the ...

Garmin Ltd.

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

... 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 ...

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All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Kansas

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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Infographic showing various Data Annotation For Ai job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

WellSky

Overland Park, KS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

WellSky rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

178th of 242 rated software companies

Job description

The Data Scientist role focuses on turning clinical conversations into accurate, useful documentation, with deep emphasis on building and evaluating the model and agent workflows (the "harness") that make these solutions reliable. The role blends applied data science, large language model (LLM) evaluation, prompt and workflow engineering, and hands-on collaboration with product and clinical stakeholders to move ideas from prototype to trustworthy, production-ready capability.
Key Responsibilities:
  • Partner with the product team in an exploratory, iterative fashion to design and prototype an ambient listening and documentation solution for the Home Infusion and Ambulatory Infusion space.
  • Apply foundational and large language models to transform clinical audio and conversation into accurate, structured, and clinically useful documentation.
  • Design, build, and refine the agentic harness (prompts, workflows, tool orchestration, and guardrails) that drives reliable ambient documentation.
  • Develop rigorous evaluation frameworks to measure documentation accuracy, completeness, and clinical soundness, including gold-standard datasets, human review, error-mode analysis, and ongoing quality monitoring.
  • Rapidly prototype and test approaches, using evaluation results to guide iteration and inform product direction.
  • Collaborate with product, engineering, and clinical stakeholders to translate exploratory findings into production-ready capabilities.
  • Contribute to responsible AI practices, including appropriate handling of sensitive healthcare data and attention to safety in clinical documentation.
  • Perform other job duties as assigned.

Required Qualifications:
  • Bachelor's degree in a related field or equivalent work experience
  • 2 - 4 years related work experience

Preferred Qualifications:
  • Healthcare industry experience, especially with healthcare data.
  • Experience applying large language models or foundational models to speech, conversation, or documentation tasks.
  • Experience with cloud technologies, including modern API orchestrators
  • Experience designing evaluation methodologies for AI/ML or LLM systems (accuracy metrics, human review, annotation, error analysis).
  • Experience with ambient documentation, speech-to-text, or clinical documentation workflows.
  • Familiarity with infusion, home health, or ambulatory clinical workflows.
  • Experience building agentic workflows, prompt engineering, or tool-orchestrated LLM applications.
  • Proficiency in Python, and experience prototyping and iterating quickly alongside a product team.

Job Expectations:
  • Willing to work additional or irregular hours as needed
  • Must work in accordance with applicable security policies and procedures to safeguard company and client information
  • Must be able to sit and view a computer screen for extended periods of time

#LI-TC1
#LI-Onsite
WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference.
WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace.
Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.
Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:
  • Excellent medical with Rx, dental, and vision benefits
  • Mental Health support through EAP
  • Generous paid time off, plus 13 paid holidays
  • 100% vested 401(K) retirement plans
  • Educational assistance up to $2500 per year

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