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Data Annotation Ai Trainer Jobs in Kansas (NOW HIRING)

Experience designing evaluation methodologies for AI/ML or LLM systems (accuracy metrics, annotation, error analysis). * Proficiency in Python and SQL, and experience working within a modern data ...

Document laboratory methodologies, data, and findings clearly and accurately, ensuring ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

Document laboratory methodologies, data, and findings clearly and accurately, ensuring ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

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

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

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 ...

Our AI-enabled contact centers live across dozens of markets and are moving millions in revenue ... Perform workflow training as needed. • Call Listening & Annotation: Review recordings daily; tag ...

Our AI-enabled contact centers live across dozens of markets and are moving millions in revenue ... Perform workflow training as needed. ● Call Listening & Annotation: Review recordings daily; tag ...

Data Architect

Leawood, KS · On-site

$108K - $154K/yr

... personal trainers, financial advisors, skilled trades professionals and insurance brokers ... Stay current with emerging technologies, including AI/ML, and incorporate innovations where ...

Showing results 41-60

Data Annotation Ai Trainer information

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level positions may pay closer to minimum wage, while experienced trainers with specialized skills can earn higher wages, especially when working on large datasets or with advanced annotation tools.

What is a data annotation AI trainer?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What are the key skills and qualifications needed to thrive as a data annotation AI trainer?

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

What does a data annotation AI trainer do?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

Is data annotation AI trainer job legitimate?

Data annotation AI trainer jobs are legitimate roles involving labeling data to help train machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are commonly offered by technology companies and AI service providers. However, job seekers should verify the employer's credibility to avoid scams.
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Infographic showing various Data Annotation Ai Trainer 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.

Data Scientist

WellSky

Overland Park, KS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 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 is responsible for turning unstructured healthcare data into standardized, analysis-ready assets that power Life Sciences and RWE use cases. Working within the internal data platform team, this role designs and evaluates AI and agent-based methods to extract clinical meaning from free-text sources (for example, deriving patient clinical statuses from notes and mapping free-text diagnoses to standardized code sets such as ICD-10), rigorously measures the quality of those outputs, and builds agentic tooling that lets users query data and generate dashboards through natural language. The role blends applied data science, large language model (LLM) evaluation, and platform engineering to make high-value insights accessible and trustworthy at scale.
Key Responsibilities:
  • Design and build methods to standardize unstructured healthcare data, including extracting clinical statuses and other structured attributes from free-text clinical notes and mapping free-text diagnoses to standardized terminologies such as ICD-10.
  • Develop, prompt, and orchestrate LLM- and agent-based pipelines to perform extraction, normalization, and enrichment tasks against diverse and messy source documents.
  • Define and implement rigorous evaluation frameworks to measure agent and model performance on these tasks, including gold-standard datasets, accuracy and error-mode analysis, and ongoing monitoring of output quality.
  • Build and maintain an agentic harness that enables users to query data and generate dashboards through natural language (an internal analog to agentic analysis tools such as Claude Cowork for our data).
  • Partner with data platform, engineering, and Life Sciences stakeholders to translate business use cases into technical requirements and analysis-ready data products.
  • Continuously monitor and improve the accuracy, quality, and efficiency of data extraction, standardization, and downstream analytics.
  • Contribute to responsible AI practices, including appropriate handling and de-identification of sensitive healthcare data.
  • 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 in post-acute care.
  • Experience applying large language models and/or agentic frameworks to real-world data extraction or transformation tasks.
  • Experience with clinical terminologies and coding systems (e.g., ICD-10, SNOMED CT, LOINC) and with natural language processing on clinical or biomedical text.
  • Familiarity with Life Sciences or Real-World Data / Real-World Evidence (RWD/RWE) use cases.
  • Experience designing evaluation methodologies for AI/ML or LLM systems (accuracy metrics, annotation, error analysis).
  • Proficiency in Python and SQL, and experience working within a modern data platform or cloud environment.
  • Experience building data applications and pipelines.

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

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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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