ZipRecruiter

Log In

2

Remote Amazon Data Annotation Jobs in Nevada (NOW HIRING)

next page

Showing results 1-20

People also search for

All JobsAmazon Data Annotation JobsRemote Amazon Data Annotation JobsRemote Amazon Data Annotation Jobs in Nevada

Remote Amazon Data Annotation information

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

To thrive as a Remote Amazon Data Annotation Specialist, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a high school diploma or relevant experience. Competence with web-based annotation tools, cloud-based platforms, and sometimes Amazon-specific data systems is typically required. Diligence, consistency, effective communication, and the ability to work independently are valuable soft skills in this role. These skills and qualities are important to ensure high-quality, accurate data labeling that supports effective machine learning and AI model development.

What are some common challenges faced by Remote Amazon Data Annotation specialists and how can they be addressed?

Remote Amazon Data Annotation specialists often encounter challenges such as maintaining consistency and accuracy across large volumes of data, managing repetitive tasks, and staying engaged while working independently. To address these, it's important to develop a strong attention to detail, utilize quality control tools provided by the platform, and take regular breaks to minimize fatigue. Additionally, staying connected with your team through regular check-ins and feedback sessions can help ensure alignment on annotation guidelines and improve overall performance.

What are Remote Amazon Data Annotation jobs?

Remote Amazon Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, or audio to help train machine learning models used by Amazon. Employees work from home using specialized tools to ensure accuracy and consistency in the data provided. These roles often require attention to detail, the ability to follow guidelines, and sometimes specific domain knowledge depending on the project. Data annotation is essential for improving the performance of AI systems in tasks like product recommendations, voice recognition, and search algorithms. These roles may be full-time, part-time, or project-based, offering flexibility for remote workers.

What is the difference between Remote Amazon Data Annotation vs Remote Mechanical Turk Worker?

AspectRemote Amazon Data AnnotationRemote Mechanical Turk Worker
CredentialsNo formal certifications required, but attention to detail helpsNo formal certifications required, basic task understanding needed
Work EnvironmentRemote, flexible hours, online platformRemote, flexible hours, online micro-task platform
Employer & IndustryAmazon, e-commerce, AI training dataVarious clients, data labeling, surveys, research

Remote Amazon Data Annotation involves labeling data specifically for Amazon's AI and e-commerce needs, often requiring attention to detail. Mechanical Turk workers perform a variety of micro-tasks across industries. While both are remote and flexible, data annotation is more specialized for AI training, whereas Mechanical Turk offers broader task types.

What are popular job titles related to Remote Amazon Data Annotation jobs in Nevada? For Remote Amazon Data Annotation jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Annotation jobs in Nevada look for? The top searched job categories for Remote Amazon Data Annotation jobs in Nevada are:
What cities in Nevada are hiring for Remote Amazon Data Annotation jobs? Cities in Nevada with the most Remote Amazon Data Annotation job openings:
Remote Amazon Data Annotation jobs near you
Staff Front End Engineer

Staff Front End Engineer

Motional

Las Vegas, NV • On-site, Remote

Other

Posted 8 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.

Apply