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Data Collection Jobs in Kansas (NOW HIRING)

PROLIM Global Corporation

IT Data Architect

Topeka, KS · On-site +1

Oversee data collection, master data and databases. * Create models for new data warehouse development and/or changes to existing data stores. * Design and manage data warehouse development and any ...

New

Maximus

Data Coordination Analyst

Overland Park, KS · On-site

Design new data collection models to better collect information. * Consult with leadership to identify data sources, required data elements, or data validation standards. * Analyze data sets using ...

Maximus

Data Coordination Analyst

Wichita, KS · On-site

Design new data collection models to better collect information. * Consult with leadership to identify data sources, required data elements, or data validation standards. * Analyze data sets using ...

Maximus

Data Coordination Analyst

Kansas City, KS · On-site

Design new data collection models to better collect information. * Consult with leadership to identify data sources, required data elements, or data validation standards. * Analyze data sets using ...

Maximus

Data Coordination Analyst

Topeka, KS · On-site

Design new data collection models to better collect information. * Consult with leadership to identify data sources, required data elements, or data validation standards. * Analyze data sets using ...

Maximus

Data Coordination Analyst

Pittsburg, KS · On-site

Design new data collection models to better collect information. * Consult with leadership to identify data sources, required data elements, or data validation standards. * Analyze data sets using ...

Smith & Loveless, Inc.

PARTS DATA COORDINATOR

Lenexa, KS · On-site

$17 - $22/hr

A Parts Data Coordinator at Smith and Loveless is responsible for data collection for the Parts Division, supporting the Parts Division General Manager. Downloads raw data from multiple databases and ...

Smith & Loveless

PARTS DATA COORDINATOR

Lenexa, KS · On-site

$17.50 - $22.50/hr

A Parts Data Coordinator at Smith and Loveless is responsible for data collection for the Parts Division, supporting the Parts Division General Manager. Downloads raw data from multiple databases and ...

SMITH & LOVELESS

PARTS DATA COORDINATOR

Lenexa, KS

$17 - $22/hr

A Parts Data Coordinator at Smith and Loveless is responsible for data collection for the Parts Division, supporting the Parts Division General Manager. Downloads raw data from multiple databases and ...

Digital Ally

Quality Control Inspector

Lenexa, KS · On-site

Responsible for the inspection of incoming materials and outgoing product at various stages in the production process and data collection of results to generate product quality reports. * Inspect ...

University of Kansas

Student Research Assistant

Lawrence, KS · On-site

$14.50 - $18.25/hr

100% - Assist with large-scale plate load testing, including soil preparation, test setup, instrumentation, and data collection. As well as providing general laboratory support.,This position offers ...

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All JobsData Collection JobsData Collection Jobs in Kansas

Data Collection information

See Kansas salary details

$14

$22

$28

How much do data collection jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data collection in Kansas is $22.57, according to ZipRecruiter salary data. Most workers in this role earn between $20.82 and $23.17 per hour, depending on experience, location, and employer.

What is the difference between Data Collection vs Data Analyst?

AspectData CollectionData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require certifications in data toolsBachelor's degree in data science, statistics, or related field; certifications like SQL or Python often preferred
Work EnvironmentFieldwork, surveys, online data gathering, or office-based data entryOffice setting, analyzing data sets, creating reports
Employer & Industry UsageResearch firms, marketing agencies, government agenciesTech companies, finance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding data collection methods and rolesAnalyzing data to derive insights and support decision-making

Data Collection involves gathering raw data through various methods, while Data Analysts interpret and analyze that data to generate insights. Both roles are essential in data-driven industries but focus on different stages of the data process.

What are the key skills and qualifications needed to thrive as a Data Collection Specialist, and why are they important?

To thrive as a Data Collection Specialist, you need strong analytical abilities, attention to detail, and a background in statistics or data management, often supported by a relevant degree or coursework. Familiarity with data collection tools like survey platforms, Excel, and database management systems, as well as knowledge of data privacy regulations, is essential. Strong organizational skills, clear communication, and adaptability help ensure accuracy and efficiency in gathering and recording data. These skills are crucial for collecting reliable data that supports informed decision-making and organizational objectives.

What are some common challenges faced by professionals in data collection roles, and how can they be overcome?

Data collection professionals often encounter challenges such as ensuring data accuracy, managing large volumes of data, and maintaining data privacy. Inaccurate or incomplete data can compromise analysis, so attention to detail and robust validation processes are essential. Additionally, collaborating closely with other team members, such as analysts and IT staff, helps streamline workflows and troubleshoot issues quickly. Staying updated on best practices and using reliable tools can further improve efficiency and data quality.

What is data collection?

Data collection is the process of gathering and measuring information on targeted variables in a systematic way to answer research questions, test hypotheses, or evaluate outcomes. It is a critical first step in research, analytics, and decision-making, ensuring that the data collected is accurate, reliable, and relevant. Data collection can be done through various methods, including surveys, interviews, observations, or digital tools, depending on the objectives and resources available. Proper data collection enables organizations and researchers to make informed decisions based on evidence and trends.
What are popular job titles related to Data Collection jobs in Kansas? For Data Collection jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Collection jobs in Kansas look for? The top searched job categories for Data Collection jobs in Kansas are:
Data Collection jobs near you
Research Engineer - Machine Learning & Robotics

Research Engineer - Machine Learning & Robotics

Jumio

Lenexa, KS

Other

Posted 18 days ago

Job description

Role Purpose

Jumio is looking for a Research Engineer with a foundation in machine learning, robotics, and data infrastructure to help build and scale the systems used for data collection, model development, and product improvement.

This role sits at the intersection of robotics, computer vision, and applied machine learning. You will work hands-on with robotic systems, ROS/ROS2-based modules, mobile data collection workflows, and ML pipelines that support training, evaluation, and production model performance. This is a strong opportunity for a new graduate or early-career engineer who wants to build practical systems that directly improve real-world AI products.

Role Value

High-quality data and reliable model evaluation infrastructure are critical to improving Jumio's machine learning and computer vision capabilities. This role helps ensure that data collected from robotic systems and mobile applications is usable, scalable, and connected to the broader model development lifecycle.

The Research Engineer will support both the robotics/data collection environment and the ML development workflow, helping the team move faster, improve model quality, and better understand model performance in production.

Example Responsibilities
  • Build and integrate ROS/ROS2-based modules to support robotic navigation, manipulation, and data collection workflows.
  • Replicate and integrate mobile and web UI environments into robotic testing and data collection systems.
  • Build, maintain, and improve training and test datasets collected through robotic manipulators and in-house iOS and Android applications.
  • Mine, query, and analyze data from internal databases to create features, identify trends, and generate insights that improve product and model development.
  • Develop tools and processes to monitor data quality, model performance, and model accuracy in production environments.
  • Implement end-to-end machine learning workflows, including data preparation, model training, testing, evaluation, and deployment support.
  • Write clean, modular, well-documented C++ and Python code that can be maintained and extended by other engineers.
  • Collaborate cross-functionally with machine learning, engineering, product, and research teams to improve data collection, model development, and system performance.
Required Experience
  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field.
  • 1-2 years of relevant industry, internship, or research experience in machine learning, robotics, computer vision, or related technical areas.
  • Hands-on experience with ROS and/or ROS2, including building or integrating modules for robot navigation, manipulation, simulation, or data collection.
  • Strong foundation in machine learning fundamentals, with experience implementing models in Python using frameworks such as PyTorch, TensorFlow, scikit-learn, or similar.
  • Experience working with databases, writing queries, and building or maintaining data pipelines for training, testing, or evaluation.
  • Strong programming skills in Python and C++, with an emphasis on clean, reliable, well-documented code.
  • Ability to work hands-on with physical hardware, debug system behavior, and translate research or prototype work into scalable engineering solutions.
Nice to Have
  • Experience with robotic manipulators, mobile robot platforms, or lab-based robotic systems.
  • Familiarity with iOS and/or Android development, especially for hardware-integrated data collection applications.
  • Experience with data collection pipelines for computer vision, biometric systems, identity verification, or similar applied AI domains.
  • Exposure to production ML observability, model monitoring, drift detection, or data quality monitoring tools.
  • Familiarity with cloud platforms such as AWS, including S3, EC2, SageMaker, or similar tools for storage, compute, and model deployment.
  • Experience working in cross-functional environments with machine learning engineers, software engineers, researchers, and product teams.

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