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Full Time Machine Learning Data Annotation Jobs in Las Vegas, NV

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

$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 ...

Experience with machine learning pipelines and production deployment (preferred) * Hands-on ... on a full time and consulting basis. If you're interested in a role where top performance is ...

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 · 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 ...

Data Engineer

Las Vegas, NV · On-site

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Nellis Air Force Base, NV · On-site

$108K - $130K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Lead Data Engineer

Las Vegas, NV · On-site

$121K - $162K/yr

  • Dental

  • Vision

  • Life

  • Retirement

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

Showing results 21-40

Full Time Machine Learning Data Annotation information

See Las Vegas, NV salary details

$35.8K

$117.2K

$187.7K

How much do full time machine learning data annotation jobs pay per year?

As of Aug 20, 2026, the average yearly pay for full time machine learning data annotation in Las Vegas, NV is $117,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $129,900.00 per year, depending on experience, location, and employer.

What is a full time machine learning data annotation job?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Las Vegas, NV?

For Full Time Machine Learning Data Annotation jobs in Las Vegas, NV, the most frequently searched job titles are:

What job categories do people searching Full Time Machine Learning Data Annotation jobs in Las Vegas, NV look for?

The top searched job categories for Full Time Machine Learning Data Annotation jobs in Las Vegas, NV are:

Infographic showing various Full Time Machine Learning Data Annotation job openings in Las Vegas, NV as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,226 per year, or $56.4 per hour.

Senior Data Scientist

Caesars Entertainment

Las Vegas, NV • On-site

Full-time

Posted 12 days ago


Caesars Entertainment rating

6.4

Company rating: 6.4 out of 10

Based on 255 frontline employees who took The Breakroom Quiz

107th of 164 rated casinos


Job description


Join our Sportsbook team as a Senior Data Scientist responsible for end-to-end model development-designing, deploying, and refining predictive and pricing models that power our real-time odds, trading decisions, and risk management.
Responsibilities
Key Responsibilities
  • Design and refine statistical and machine learning models to predict outcome probabilities and set accurate prices across a wide range of sports betting markets
  • Extract and engineer features from live feeds (e.g., player stats, team form, weather, betting flow), ensuring data quality and integrity.
  • Continuously track model behavior through KPIs-P&L, hold, liability, and recalibrate based on findings
  • Work closely with Trading, Product, and Engineering teams to translate business goals into model requirements and ensure successful rollouts.
  • Stay up-to-date with sports analytics, statistical methods, and advanced machine learning; evaluate new methods to keep our models best-in-class.
  • Guide junior data scientists in model design, experiments, and best practices.
  • Collaborate with engineering to deploy models in production via APIs or model engines, implementing automated testing for accuracy, performance benchmarking, and drift monitoring.
  • Translate model insights into clear recommendations for trading strategies, risk limits, and event-level pricing decisions.
  • Ability to uphold and demonstrate the highest level of integrity in all situations and recognize standards required by a regulated business

Qualifications
Qualifications
  • Degree in Statistics, Mathematics, Computer Science, Data Science, or similar.
  • 5+ years in data science or ML with at least 2+ years focused on sportsbook, gaming, or financial trading models.
  • Deep knowledge of probability, statistical methods, and advanced ML techniques.
  • Proficient in Python (NumPy, pandas, scikit-learn, etc).
  • Experience with automated model deployment and testing frameworks.
  • Strong SQL and data pipeline understanding
  • Understanding of betting mechanics-odds formulation, overround, liability, in-play dynamics.
  • Excellent problem-solving, communication, and collaboration skills. Proven track record of influencing product/trading decisions.

Nice to Have
  • Avid sports fan
  • Prior roles at leading sportsbooks
  • Experience building sports models
  • Experience programming in Go
  • Experience Sports Betting

About Us
At Caesars Digital, We Don't Just Play the Game - We Set the Standard.
As a proud part of Caesars Entertainment, the world's premier gaming company with more than 80 years of sports betting leadership, Caesars Digital is Blazing The Trail in digital innovation, customer experience and industry excellence.
We believe every Team Member should be treated like royalty because We Are All Caesars. This guiding principle fuels our commitment to delivering legendary service and creating unforgettable experiences for our customers.
From cutting-edge digital platforms including Caesars Sportsbook, Caesars Palace Online, Horseshoe Online Casino and Caesars Racebook, to the continuing expansion of our retail footprint and our William Hill legacy, along with powerhouse partnerships across sports and entertainment, we're building something extraordinary. And we want you to be part of it.
Ready to make your mark on the Empire?
Explore our open roles and discover how you can help shape the future of gaming.
Join us. Blaze the Trail. Because at Caesars Digital, We Are All Caesars.

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