ZipRecruiter

Log In

1

Data Annotation For Ai Jobs in Nevada (NOW HIRING)

Deloitte

Google AI Architect

Las Vegas, NV · On-site

Implement security and governance for AI/ML systems (data privacy, model poisoning, adversarial attacks); apply Gemini safety features and enterprise guardrails. Responsibilities include: * Architect ...

Office1

AI Solutions Engineer

Las Vegas, NV · On-site

You'll build from the ground up: modernizing our data, developing our internal "company brain," automating the processes that slow our team down, and growing into our go-to resource for AI workflows.

Office1

AI Solutions Engineer

Las Vegas, NV · On-site

You'll build from the ground up: modernizing our data, developing our internal "company brain," automating the processes that slow our team down, and growing into our go-to resource for AI workflows.

Office1

AI Solutions Engineer

Las Vegas, NV

You'll build from the ground up: modernizing our data, developing our internal "company brain," automating the processes that slow our team down, and growing into our go-to resource for AI workflows.

Deloitte

AI Security Engineer Manager

Las Vegas, NV · On-site

Standards and Best Practices Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and MLOps pipelines.

previous page

Showing results 41-60

All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Nevada

Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What are popular job titles related to Data Annotation For Ai jobs in Nevada?

For Data Annotation For Ai jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Data Annotation For Ai jobs in Nevada look for?

The top searched job categories for Data Annotation For Ai jobs in Nevada are:

What cities in Nevada are hiring for Data Annotation For Ai jobs?

Cities in Nevada with the most Data Annotation For Ai job openings:

Data Annotation For Ai jobs near you
Infographic showing various Data Annotation For Ai job openings in Nevada 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.

Flexible remote AI work. Your schedule. Paid weekly, straight to your bank account.

Meridian.ai

Enterprise, NV • Remote

Full-time

Posted 2 days ago

New

Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.

Apply