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Online Machine Learning Jobs in Kansas (NOW HIRING)

TSMG

AI/ML Data Contributor

Wichita, KS · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Wichita, KS · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

27Global

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

Design and optimize data pipelines that support AI, machine learning, and advanced analytics workloads. * Implement data preprocessing, feature engineering, and real-time inference capabilities for ...

Sporting Kansas City

Data Scientist

Kansas City, KS · On-site

Experience working in a Data Science, Machine Learning, Applied Statistics or similar role. * Proven experience designing, validating and monitoring applied machine learning models. * Robust ...

AEG

Data Scientist

Kansas City, KS · On-site

Experience working in a Data Science, Machine Learning, Applied Statistics or similar role. * Proven experience designing, validating and monitoring applied machine learning models. * Robust ...

27Global

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Lead efforts to optimize data pipelines that support AI, machine learning, and advanced analytics workloads. * Implement and productionize feature engineering pipelines, model data pipelines, and ...

StackAdapt

$105K - $138K/yr

Our Bidding team designs, and builds scalable microservices that span every core aspect of the Adtech pipeline-including pacing, machine learning, bid price optimization, user-profile enrichment, and ...

PolyAI

$320K - $420K/yr

Be a capable spokesperson for the organization, both online and in-person Minimum skills and ... Knowledge of NLP, NLU, or other machine-learning technology We provide a competitive salary range ...

Purple Wave, Inc.

Senior Data Platform Engineer

Manhattan, KS · On-site

$104K - $137K/yr

LLMs & Machine Learning: Practical experience integrating LLMs or ML models into production systems - including at least several of: prompt engineering, RAG, embeddings/vector search, tool/function ...

Varsity Tutors

Mechanical Engineering Tutor

Wichita, KS · Remote

$18 - $40/hr

... Learning Platform has thousands of students looking for online Mechanical Engineering tutors ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

ArcGIS Online and Web Mapping Applications * Batch Scripting * SQL Database Management and analysis ... Experience with Machine Learning, Deep Learning, and/or AI * Experience with data processing ...

Varsity Tutors

Statics and Dynamics Tutor

Wichita, KS · Remote

$18 - $40/hr

... Learning Platform has thousands of students looking for online Statics and Dynamics tutors ... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving:

Varsity Tutors

Statics Tutor

Overland Park, KS · Remote

$18 - $40/hr

... Tutors Live Learning Platform has thousands of students looking for online Statics tutors ... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ...

Varsity Tutors

Statics Tutor

Wichita, KS · Remote

$18 - $40/hr

... Tutors Live Learning Platform has thousands of students looking for online Statics tutors ... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ...

Nvidia

$105K - $138K/yr

Expertise in machine learning compilers (e.g. Apache TVM, MLIR) * Open source project ownership or contributions Your base salary will be determined based on your location, experience, and the pay of ...

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Showing results 41-60

All JobsOnline Machine Learning JobsOnline Machine Learning Jobs in Kansas

Online Machine Learning information

See Kansas salary details

$22.7K

$38K

$78.5K

How much do online machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for online machine learning in Kansas is $37,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,000.00 and $41,000.00 per year, depending on experience, location, and employer.

What is online machine learning?

Online machine learning is a method where models are trained incrementally as new data becomes available, rather than being trained all at once on a fixed dataset. This approach is particularly useful in environments where data arrives continuously, such as real-time analytics, recommendation systems, and fraud detection. Online learning algorithms update their knowledge with each new data point, allowing them to adapt quickly to changes and trends. This makes them ideal for applications that require immediate responses and adaptability to evolving data streams.

What are the key skills and qualifications needed to thrive as an online machine learning engineer?

To excel as an Online Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a relevant degree and experience with streaming data. Familiarity with tools such as Apache Kafka, Spark Streaming, Python, TensorFlow, and real-time data processing frameworks is critical. Problem-solving ability, adaptability, and effective communication are essential soft skills for collaborating with multidisciplinary teams and responding to rapidly changing data. These competencies are crucial for building scalable, responsive models that provide timely insights in dynamic production environments.

How does collaboration typically work between online machine learning engineers and data scientists in a project setting?

Online machine learning engineers often work closely with data scientists to ensure that the models they develop can be effectively deployed and updated in real-time environments. While data scientists may focus on feature engineering, model selection, and initial training using historical data, online machine learning engineers are responsible for integrating these models into production systems and implementing mechanisms for continuous learning from live data streams. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration and ensure that the models remain accurate and efficient as new data arrives.

What is the difference between Online Machine Learning vs Data Scientist?

AspectOnline Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related fields; certifications in ML or data analysisBachelor's or master's in CS, statistics, or related fields; advanced degrees often preferred
Work EnvironmentTech companies, startups, research labs; focus on real-time data processingCorporate, consulting, or research settings; focus on data analysis and modeling
Industry UsageMachine learning applications, AI development, real-time systemsData analysis, predictive modeling, business insights

Online Machine Learning specialists focus on developing algorithms that learn continuously from streaming data, often in real-time environments. Data Scientists analyze large datasets to extract insights, build models, and support decision-making. While both roles require knowledge of machine learning, Online Machine Learning emphasizes real-time data processing, whereas Data Scientists focus on data analysis and modeling for strategic insights.

What are the most commonly searched types of Machine Learning jobs in Kansas?

The most popular types of Machine Learning jobs in Kansas are:

What cities in Kansas are hiring for Online Machine Learning jobs?

Cities in Kansas with the most Online Machine Learning job openings:

Online Machine Learning jobs near you
Infographic showing various Online Machine Learning job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $37,978 per year, or $18.3 per hour.

AI/ML Data Contributor

TSMG

Wichita, KS • On-site

Full-time

Re-posted 7 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.