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Machine Learning Data Associate Jobs in Las Vegas, NV

Senior Machine Learning Engineer

Las Vegas, NV · On-site

$117K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role We're looking for a Senior Machine Learning Engineer to join our team during an ... Data Privacy Notice By submitting an application, you acknowledge that TensorWave may collect, use ...

AI Engineer

Las Vegas, NV · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate ...

Staff Software Engineer - AI Data Engine

Las Vegas, NV · On-site

$172 - $229/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Prior experience building data warehouses, lakehouse architectures, or active-learning data loops at an advanced machine learning, robotics, or autonomous vehicle company. Bonus Points (not required)

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Analyst The data analyst will be responsible for importing, transforming, validating and ... machine learning techniques (e.g., classification, clustering, tree-based models) is a plus.

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Analyst The data analyst will be responsible for importing, transforming, validating and ... machine learning techniques (e.g., classification, clustering, tree-based models) is a plus.

Payer Healthcare Data Scientist, Manager

Las Vegas, NV · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

Director, Data Architecture - Las Vegas, NV

Las Vegas, NV · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll collaborate with technical and business leaders to drive innovation, support AI and machine learning initiatives, and build a high-performing team that shapes the future of our enterprise data ...

Risk Modeler I

Las Vegas, NV · On-site

$52.75 - $68.50/hr

The Model Development team challenges the status quo through their statistical and machine learning ... Preferred * 2+ years of experience gathering data requirements for statistical, econometric ...

Risk Modeler I

Las Vegas, NV · On-site

$52.75 - $68.50/hr

The Model Development team challenges the status quo through their statistical and machine learning ... Preferred * 2+ years of experience gathering data requirements for statistical, econometric ...

Risk Modeler I

Las Vegas, NV

$52.75 - $68.50/hr

The Model Development team challenges the status quo through their statistical and machine learning ... Preferred * 2+ years of experience gathering data requirements for statistical, econometric ...

Risk Modeler I

Las Vegas, NV

$52.75 - $68.50/hr

The Model Development team challenges the status quo through their statistical and machine learning ... Preferred * 2+ years of experience gathering data requirements for statistical, econometric ...

US Tech - AI Engineering Senior Associate

Las Vegas, NV · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated ...

Showing results 21-40

Machine Learning Data Associate information

See Las Vegas, NV salary details

$9

$17

$29

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.
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.

Senior Machine Learning Engineer

TensorWave

Las Vegas, NV • On-site

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

About TensorWave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

 

About the Role

We’re looking for a Senior Machine Learning Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for building and operating the core systems that power large-scale ML training and inference across TensorWave’s GPU platform, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.

 

What You’ll Do

  • Design, operate, and improve ML infrastructure systems supporting distributed training and inference workloads

  • Build reliable, repeatable workload execution and orchestration patterns across shared GPU environments

  • Troubleshoot performance, reliability, and scalability issues across the ML stack

  • Partner with ML, systems, and platform teams to improve developer experience and operational efficiency

 

Who You Are

Required Qualifications

  • Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience

  • Expertise supporting production ML systems using SLURM and Kubernetes

  • Strong understanding of GPU-accelerated workloads and distributed systems concepts

  • Solid Linux fundamentals and experience debugging infrastructure-level issues

  • Ability to build automation and tooling - Python, Go, etc.

Preferred Qualifications

  • Experience working across schedulers, orchestration platforms, or cluster managers

  • Familiarity with large-scale GPU environments or HPC-style systems

  • Experience improving infrastructure reliability, utilization, or performance at scale

 

What We Offer

  • Stock Options

  • 100% paid Medical, Dental, and Vision insurance for Employees

  • Company Health Savings Account Contributions

  • 100% paid Short Term and Long Term Disability Insurance for Employees

  • Life and Voluntary Supplemental Insurance Options

  • Other Insurance Options, such as Pet & Legal Insurance

  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

  • Flexible Spending Account

  • 401(k)

  • Employee Assistance Program

  • Flexible PTO

  • Paid Holidays

  • Parental Leave

  • Other In-Office Perks

 

Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

 

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.

 

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.

 

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

 

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.