ZipRecruiter

Log In

1

Data Annotation Tech Jobs in Prairie Village, KS

Garmin

Data Scientist 2

Olathe, KS · On-site

Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to ... Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies

Garmin International, Inc.

Data Scientist 2

Olathe, KS · On-site

Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to ... Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies

Garmin Ltd.

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to ... Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies

WellSky

Data Scientist

Overland Park, KS · On-site

$2.5K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with cloud technologies, including modern API orchestrators * Experience designing ... accuracy metrics, human review, annotation, error analysis). * Experience with ambient ...

next page

Showing results 1-20

All JobsData Annotation Tech JobsData Annotation Tech Jobs in Prairie Village, KS

Data Annotation Tech information

See Prairie Village, KS salary details

$12

$22

$34

How much do data annotation tech jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data annotation tech in Prairie Village, KS is $22.45, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $26.68 per hour, depending on experience, location, and employer.

What is a data annotation tech?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What does a data annotation tech do?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

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

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What job categories do people searching Data Annotation Tech jobs in Prairie Village, KS look for?

The top searched job categories for Data Annotation Tech jobs in Prairie Village, KS are:

Data Annotation Tech jobs near you
Infographic showing various Data Annotation Tech job openings in Prairie Village, KS as of August 2026, with employment types broken down into 52% Full Time, and 48% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $46,697 per year, or $22.5 per hour.

Data Scientist 2

Garmin

Olathe, KS • On-site

Other

Posted 4 days ago

Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

14th of 159 rated electronics manufacturers

Job description

Overview
We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for analyzing complex data sets, developing machine learning models, and collaborating with cross-functional teams to provide actionable insights and AI solutions. In addition, under guidance or with minimal supervision, this role will apply machine learning, statistical analysis, and data engineering techniques to address challenging business problems.
Essential Functions
  • Under guidance or with minimal supervision, lead the collection, cleaning, and preprocessing of large datasets from diverse sources
  • Conduct advanced exploratory data analysis (EDA) to identify trends, patterns, and anomalies that inform modeling efforts
  • Design, implement, and refine predictive models using machine learning and statistical methodologies
  • Collaborate with cross-functional teams to translate data-driven insights into product and strategy recommendations
  • Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to enhance efficiency
  • Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to improve model performance
  • Support integration of models into production systems by coordinating with functional and technical teams and monitoring performance post-deployment
  • Assist in developing and maintaining processes and tools to ensure model performance, reliability, and data quality
  • Create and present compelling data visualizations and reports using advanced graphics and visualization tools
  • Identify and leverage both internal and external datasets to drive innovation and support business solutions
  • Contribute to the development of custom machine learning models and algorithms across diverse datasets
  • Apply predictive modeling to improve user experiences, support revenue growth, and enable data-driven insights
  • Support the definition of project scope and business expectations based on data-driven insights
  • Provide mentorship and share best practices with junior team members under the guidance of senior staff
  • Participate in peer reviews and contribute to the continuous improvement of team processes
  • Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies
  • Ensure data quality, adherence to governance standards, and compliance with data privacy and AI-related regulations

Basic Qualifications
  • Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or Physics or a technical field (such as CIS or IT) relevant to the essential functions of this job description AND a minimum of 1 year of relevant experience
  • Experience using systems such as SQL, Python, or R
  • Strong knowledge of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
  • Demonstrated understanding of advanced descriptive and inferential statistics
  • Demonstrates expert knowledge in data analysis methods and tools
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Must be team-oriented, possess a positive attitude, and work well with others
  • Driven problem solver with proven success in solving difficult problems
  • Consistently demonstrates quality and effectiveness in work documentation and organization

Desired Qualifications
  • Experience with structured database management systems
  • Experience with applying statistical methods (e.g. time series analysis, NLP, deep learning, or reinforcement learning)
  • Hands-on experience with MLOps, model deployment, and CI/CD for data science workflows
  • Exposure to distributed computing (e.g., Spark, Dask) and NoSQL databases
  • Understanding of A/B testing and causal inference
  • Experience working with unstructured data (text, images, audio, etc.)
  • Familiarity with data visualization tools (i.e. Matplotlib, Seaborn)

Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits

What Garmin employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply