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Remote Ai Data Rater Jobs in Nevada (NOW HIRING)

Deloitte

GCP Manager

Las Vegas, NV · On-site +1

... or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Manager on the AI & Data team, you will be responsible for... * Drive solution reviews and ...

Lnw

Director, AI Transformation Management

Las Vegas, NV · On-site +1

$200K - $250K/yr

Strong understanding of AI, data, and modern technology concepts. * Proven ability to lead complex ... We are also open to considering strong candidates in remote locations. Travel as required.

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Remote Ai Data Rater information

What is the difference between Remote Ai Data Rater vs Remote Content Moderator?

AspectRemote Ai Data RaterRemote Content Moderator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOnline, flexible hours, task-basedOnline, flexible hours, task-based
Employer & IndustryTech companies, AI developmentSocial media, online platforms
Search & Comparison IntentData labeling, AI trainingContent review, policy enforcement

Remote Ai Data Raters focus on labeling and annotating data to train AI models, while Remote Content Moderators review user-generated content to enforce platform policies. Both roles require attention to detail and are performed online with flexible hours, but they serve different purposes within the tech industry.

What are the key skills and qualifications needed to thrive as a Remote AI Data Rater, and why are they important?

To thrive as a Remote AI Data Rater, you need strong analytical skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with web-based evaluation platforms and tools, as well as adherence to specific project guidelines, is typically required. Excellent communication, time management, and the ability to work independently are valuable soft skills for this role. These abilities ensure accurate data labeling and evaluation, which are crucial for improving AI system performance.

What are some common challenges faced by Remote AI Data Raters, and how can they be overcome?

Remote AI Data Raters often encounter challenges such as maintaining consistent focus during repetitive tasks and accurately interpreting guidelines that may change depending on project requirements. Effective strategies to overcome these challenges include setting up a distraction-free workspace, taking regular short breaks to reduce fatigue, and actively participating in training sessions or forums provided by employers. Additionally, clear communication with team leads or project managers can help clarify ambiguous instructions and ensure alignment with quality standards.

What are Remote AI Data Raters?

Remote AI Data Raters are professionals who evaluate and annotate data such as text, images, or audio to help improve artificial intelligence systems. They work from home or any remote location, following specific guidelines to assess the relevance, accuracy, and quality of data used to train AI algorithms. Their feedback is crucial for machine learning models to better understand and process human language, visual content, or other data types. This role often requires attention to detail, strong communication skills, and the ability to follow detailed instructions.
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Remote Ai Data Rater jobs near you
Senior Software Engineer - AI Data Applications

Senior Software Engineer - AI Data Applications

Motional

Las Vegas, NV • On-site, Remote

Other

Posted 12 days ago

Job description

Mission Summary:

We are seeking an experienced full stack engineer to join our new AI Data Application team. This pivotal role will drive the development and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future!

What You'll Be Doing:

  • Cross-functional Collaboration:
    • Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.
    • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
  • Development:
    • Design and build the next generation of data curation, mining and search applications needed to power our next phase of growth as a company. 
    • Mentor junior engineers and peers on best practices and adoption strategies

What We're Looking For

  • Experience:
    • BS or MS in Computer Science or related field
    • 4+ years of professional experience in building web applications 
    • Extensive experience with building web applications for search and data curation needs.
  • Technical Skills:
    • Strong programming skills in Typescript and Python.
    • Strong knowledge of modern frontend technologies such React.
    • Strong knowledge of building REST and gRPC based services, ideally in Python. 
    • Strong knowledge of AWS ecosystem (EKS, Lambda, etc) and Terraform

Bonus Points (not required): 

  • Prior experience in autonomous vehicles (AV) is a plus.
  • Prior experience with Bazel based build systems.

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