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Machine Learning Data Associate Jobs in Las Vegas, NV

KēSTA I.T.

Sr. Data Engineer

Las Vegas, NV

$125K - $151K/yr

This role focuses on developing scalable data pipelines, ensuring data quality, and supporting the deployment of advanced analytics and machine learning solutions into production environments. This ...

MGM Resorts International

Lead Data Engineer

Las Vegas, NV · On-site

$121K - $162K/yr

Support AI, machine learning, Generative AI, and RAG solutions through scalable data engineering, feature engineering, and MLOps/DataOps practices. * Implement modern engineering standards, including ...

MGM Resorts International

Lead Data Engineer

Las Vegas, NV · On-site

$121K - $162K/yr

Support AI, machine learning, Generative AI, and RAG solutions through scalable data engineering, feature engineering, and MLOps/DataOps practices. * Implement modern engineering standards, including ...

Progressive Gaming

Data Engineer II

Las Vegas, NV · On-site

$110K - $132K/yr

Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications. * Experience working in gaming, hospitality, financial services, or other data-intensive ...

IGT

Data Engineer II

Las Vegas, NV · On-site

$110K - $132K/yr

Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications. * Experience working in gaming, hospitality, financial services, or other data-intensive ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Las Vegas, NV · On-site

$61K - $141K/yr

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Booz Allen Hamilton

Data Engineer

Nellis Air Force Base, NV · On-site

$108K - $130K/yr

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Booz Allen Hamilton

Data Engineer

Nellis Air Force Base, NV · On-site

$108K - $130K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Las Vegas, NV

Machine Learning Data Associate information

See Las Vegas, NV salary details

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How much do machine learning data associate jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for machine learning data associate in Las Vegas, NV is $17.90, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.04 per hour, depending on experience, location, and employer.

What is a machine learning data associate?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What are the key skills and qualifications needed to thrive as a machine learning data associate?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a machine learning data associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.
Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Las Vegas, NV as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $37,224 per year, or $17.9 per hour.

Sr. Data Engineer

KēSTA I.T.

Las Vegas, NV

$125K - $151K/yr

Full-time

Re-posted 21 days ago

Job description

Come build, innovate, disrupt, and thrive!


KēSTA I.T. is actively seeking a Senior Data Engineers for two immediate full-time opportunities with our industry leading client.


Are you on the lookout for a unique career opportunity that offers leadership, responsibility, and the chance to make a significant impact? If you're eager to contribute to a thriving and stable organization while maintaining your confidentiality, continue reading.



A Senior Data Engineer is responsible for designing, building, and managing data platforms and tools that enable efficient processing, analysis, and utilization of large-scale data. This role focuses on developing scalable data pipelines, ensuring data quality, and supporting the deployment of advanced analytics and machine learning solutions into production environments.


This individual partners closely with business and technical teams to enhance data models, improve accessibility, and drive data-informed decision-making. The role supports both real-time and batch processing capabilities and translates complex business requirements into scalable, high-performing data solutions.


Responsibilities

  • Design, develop, and maintain real-time and batch data pipelines to process large volumes of data
  • Build and support tools for data ingestion, transformation, curation, and provisioning across first- and third-party data sources
  • Develop advanced data products and APIs to enable analytics, reporting, and data science use cases
  • Monitor system performance, conduct testing, troubleshoot issues, and implement enhancements
  • Lead data analysis efforts and design data architectures that support business intelligence, AI/ML, and data product initiatives
  • Design and implement scalable data platform architectures that meet organizational needs for performance, flexibility, and reliability
  • Ensure solutions meet operational requirements such as scalability, maintainability, extensibility, and data integrity
  • Provide technical leadership, mentorship, and guidance to team members
  • Lead code reviews and promote best practices, including test-driven development and CI/CD


Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field
  • Master’s degree preferred
  • 8+ years of experience in data engineering, including full-stack data capabilities
  • 10+ years of experience in software development or programming
  • 5+ years of experience working with cloud platforms (e.g., Azure, AWS, GCP)
  • Strong SQL expertise and data querying skills


Technical Skills:

  • Proficiency in Python and experience with CI/CD practices
  • Experience with machine learning pipelines and production deployment (preferred)
  • Hands-on experience with modern data platforms (e.g., Databricks, Spark, Fabric or similar technologies)
  • Strong background in infrastructure and cloud-based data architectures
  • Experience designing and building data pipelines for big data, NoSQL, and data warehouse solutions
  • Familiarity with real-time streaming technologies (e.g., Kafka, Event Hub or similar)
  • Experience with RESTful APIs, messaging systems, and integration patterns
  • Hands-on experience with cloud-native data services (e.g., data lakes, ETL tools, streaming services, analytics platforms)
  • Strong expertise in data architecture and data modeling
  • Experience implementing data quality frameworks and data governance practices
  • Familiarity with BI and visualization tools (e.g., Power BI, Tableau or similar)


Additional Qualifications:

  • Experience working in Agile environments
  • Strong analytical, problem-solving, and communication skills
  • Ability to occasionally support off-hours work as needed



About KēSTA I.T.:


Our name says it all; KēSTA I.T. (Keys-to-I.T.) AND our people are our keys to our success!


KēSTA I.T. is a premier Utah-based technical staffing and consulting services firm. We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, Data, End-User support, Web and Executive / leadership-based positions on a full time and consulting basis. If you're interested in a role where top performance is rewarded, personal time is valued, and excellence is demanded at every level we want to talk to you today!


Where do you want to go? We've got the keys! ~ KēSTA I.T.


WWW.KeSTAIT.COM