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Data Annotation Manager Jobs in Nevada (NOW HIRING)

Staff Front End Engineer

Las Vegas, NV · On-site +1

$172K - $229K/yr

Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to ... Demonstrated project management expertise / advanced hands-on understanding of project management ...

Data Annotation Manager information

See Nevada salary details

$31.6K

$98.9K

$175.1K

How much do data annotation manager jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data annotation manager in Nevada is $98,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $127,800.00 per year, depending on experience, location, and employer.

What is the salary of data annotation manager?

The salary of a data annotation manager typically ranges from $60,000 to $120,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, and familiarity with annotation tools and team management can influence pay levels.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.

What are some common challenges faced by Data Annotation Managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a Data Annotation Manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

Does data annotation actually pay well?

Data annotation managers typically earn competitive salaries that reflect their experience and responsibilities, often ranging from entry-level to senior roles. Compensation can vary based on industry, location, and company size, with specialized skills in tools like labeling platforms and quality control often leading to higher pay.

What are the key skills and qualifications needed to thrive as a Data Annotation Manager, and why are they important?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

How hard is it to get hired by data annotation?

Getting hired as a data annotation manager typically requires relevant experience in data labeling, familiarity with annotation tools, and strong organizational skills. The hiring process often involves reviewing previous work, technical assessments, and demonstrating attention to detail, with opportunities available in companies that outsource data labeling tasks.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Nevada? The most popular types of Data Annotation jobs in Nevada are:
What are popular job titles related to Data Annotation Manager jobs in Nevada? For Data Annotation Manager jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Data Annotation Manager jobs? Cities in Nevada with the most Data Annotation Manager job openings:
Infographic showing various Data Annotation Manager job openings in Nevada as of July 2026, with employment types broken down into 2% Locum Tenens, 35% Full Time, 26% Part Time, 1% Contract, 35% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $98,923 per year, or $47.6 per hour.

Staff Front End Engineer

Motional

Las Vegas, NV • On-site, Remote

$172K - $229K/yr

Full-time

Posted 10 days ago


Job description

Mission Summary:
Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team. This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.

What You'll Be Doing:

  • Drive cross-team standards and best practices for web development
  • Own cross team collaboration, ensuring deliveries are made on time and effectively
  • Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
  • Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
  • Build mission-critical UI systems used by a variety of internal customers.
  • Design initiative experiences for complex, data-heavy workflows.
  • Drive best practices around performance, scalability and maintainability
  • Ship quickly and iterate in a product driven environment.

What We're Looking For:

  • Desire to design and build user-facing visual applications, and a passion for good UX.
  • Strong proficiency in React, Typescript and modern frontend architecture
  • Proficiency in Vue
  • Strong product sense with a focus on UX and usability.
  • Ability to work with high ownership and autonomy.
  • Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
  • Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
  • A well-established technical design and documentation habit
  • Capability to work directly with customers to identify foundational needs and provide solutions.

Bonus Points (not required):

  • Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
  • A love for the continuous delivery of value.
  • Exposure to backend systems (Node, Python)
  • Experience in Game Development or 3D Visualization


We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$172,000—$229,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.