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Ml Data Associate Jobs in Kansas (NOW HIRING)

AEG

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

All associates are expected to positively collaborate with individuals of diverse backgrounds. We ... Work very closely with the First Team Data Scientist to productionize models and implement ML ...

Sporting Kansas City

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

All associates are expected to positively collaborate with individuals of diverse backgrounds. We ... Work very closely with the First Team Data Scientist to productionize models and implement ML ...

Sporting Kansas City

Data Scientist

Kansas City, KS · On-site

All associates are expected to positively collaborate with individuals of diverse backgrounds. We ... Work closely with the First Team Data Engineer to productionize models and implement ML projects ...

AEG

Data Scientist

Kansas City, KS · On-site

All associates are expected to positively collaborate with individuals of diverse backgrounds. We ... Work closely with the First Team Data Engineer to productionize models and implement ML projects ...

Pratt Industries

Senior AWS Cloud Architect

Park City, KS · On-site

$58 - $76/hr

... data analytics, reporting pipelines, and advanced AI/ML modeling. • Cost Optimization ... AWS Certified Solutions Architect - Professional or Associate, AWS DevOps Engineer - Professional ...

Pratt Industries

Senior AWS Cloud Architect

Park City, KS · On-site

$58 - $76/hr

... high-performance data analytics, reporting pipelines, and advanced AI/ML modeling. Cost ... AWS Certified Solutions Architect - Professional or Associate, AWS DevOps Engineer - Professional ...

OTSI

Staff Engineering Technician

Overland Park, KS · On-site

Associate Degreein Drafting or an Engineering Design Related Technology preferred. * Typically a ... Our focused technology areas: • AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language ...

OTSI

Staff Engineering Technician

Overland Park, KS · Hybrid

Associate Degree in Drafting or an Engineering Design Related Technology preferred. Typically a ... AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language Processing, Intelligent Processing ...

OTSI

Workstation Support Technician

Topeka, KS

$18 - $21.75/hr

High school diploma or equivalent; associate or bachelor's degree in a relevant field preferred ... AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language Processing, Intelligent Processing ...

OTSI

Workstation Support Technician

Topeka, KS · On-site

$18 - $21.75/hr

SKILLS AND ABILITIES REQUIRED: • High school diploma or equivalent; associate or bachelor ... Our focused technology areas: • AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language ...

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All JobsMl Data Associate JobsMl Data Associate Jobs in Kansas

Ml Data Associate information

See Kansas salary details

$51.3K

$60.7K

$115K

How much do ml data associate jobs pay per year?

As of Sep 1, 2026, the average yearly pay for ml data associate in Kansas is $60,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,600.00 and $53,100.00 per year, depending on experience, location, and employer.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What are popular job titles related to Ml Data Associate jobs in Kansas?

For Ml Data Associate jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Ml Data Associate jobs in Kansas look for?

The top searched job categories for Ml Data Associate jobs in Kansas are:

What cities in Kansas are hiring for Ml Data Associate jobs?

Cities in Kansas with the most Ml Data Associate job openings:

Ml Data Associate jobs near you

Data Engineer

Kansas City, KS • On-site

AEG
Recruiting and Staffing Services • 51 - 200 employees
Learn more about AEGexternal

$110K - $132K/yr

Full-time

Posted 15 days ago

Job description

We are seeking an individual with excellent attention to detail to join our team as a Data Engineer. In this role, the successful candidate will lead the design, development and maintenance of a best-in-class data infrastructure, delivering scalable data pipelines and ensuring high-quality data is available for analysis and decision-making across the Club.
The successful candidate will provide key stakeholders with clean, reliable, accessible and actionable data, contributing to the development of SKC's data ecosystem.
Sporting Kansas City is an equal opportunity employer. We celebrate diversity and equity and are committed to creating an inclusive environment for all associates. All associates are expected to positively collaborate with individuals of diverse backgrounds. We encourage all talented individuals looking for a challenge to apply.
People
  • Work closely with coaches, analysts, scouts, performance coaches and other key stakeholders to understand data needs and translate them into scalable solutions.
  • Develop strong relationships with the wider Data and Analytics team, promoting best practices in data management, governance and accessibility.
  • Ensure collaboration and communication with wider Club as needed, working with internal and external partners to ensure efficient data integration, adoption and deployment.

Process
  • Lead the design, development and maintenance of scalable ETL/ELT pipelines to support the creation of tools, platforms and reports aimed at facilitating decision-making.
  • Ensure reliable and consistent data collection, validation, monitoring, testing, transformation and delivery processes.
  • Lead the implementation of high-quality standards for comprehensive data storage, version control, schema documentation and governance.
  • Collaborate with our IT team to ensure data protection and compliance policies are upheld and central to our practices.
  • Continuously evaluate and develop existing workflows, infrastructure and practices to maximize reliability.
  • Evaluate other emerging technologies and solutions to ensure SKC stays current with engineering best practice and trends.

Product
  • Lead the development and maintenance of SKC's centralized data platform.
  • Develop and manage soccer-specific databases and APIs, enabling efficient data access.
  • Integrate data from multiple soccer data providers and Club systems to create a single source of truth.
  • In collaboration with the rest of the Data and Analytics team, support the development and deployment of reporting tools, internal applications, web tools and dashboards.
  • Continuously challenge existing data, systems and practices to ensure development and drive innovation.
  • Ensure data architecture optimization to support future scalability and reliability as our team and provision grows.
  • Work very closely with the First Team Data Scientist to productionize models and implement ML projects seamlessly.

Education & Experience
  • Bachelor's degree in computer science, data science or related STEM subject.
  • Significant experience working in a Data Engineering or similar role.
  • Proven experience designing, developing and maintaining data pipelines, data models and database schemas.
  • Robust experience using both SQL and Python for data cleaning, engineering, transformation and automation workflows.
  • Experience working with modern cloud-based data infrastructure (i.e., Azure, AWS or GCP).
  • Experience implementing best-in-practice data orchestration, version control, governance and other data best practices
  • Creative and curious problem solver with a positive attitude to new challenges.
  • Proactive and eager to learn, able to pick up new skills and work as part of a team.
  • Excellent attention to detail and evidence of working on developing strong analytical skills.
  • Evidence of excellent communication skills, able to translate technical concepts into practical solutions.

Preferred Experience
  • Previous experience working within an elite soccer club or high-performance sporting environment.
  • Experience working with soccer event, tracking and physical performance datasets.
  • Strong understanding of technical and tactical aspects of soccer.
  • Evidence of experience working in the MLS.
  • Experience using data visualization tools such as Tableau or other equivalent software.
  • Experience supporting ML deployment and MLOps workflows.

Physical Requirements
  • Ability to work in office, stadium, and outdoor environments with the ability to travel as required.
  • Ability to occasionally lift up to 25 pounds.
  • Ability to work non-traditional hours including evenings, weekends, and holidays.

Additional Responsibilities
  • Represent Sporting Kansas City professionally at all times.
  • Maintain confidentiality of sensitive information.
  • Comply with Club policies and procedures.
  • Perform other duties as assigned.
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About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

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