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Contract Ai Data Annotation Jobs in Nevada (NOW HIRING)

High School Reading Tutor

Reno, NV · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Director, Data Architecture - Las Vegas, NV

Las Vegas, NV · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Establish enterprise-wide data modeling standards, data contracts, naming conventions, schema ... Guide architecture decisions supporting structured and unstructured data, AI/ML initiatives, and ...

Software Engineer Data Platform

Las Vegas, NV · On-site

$110K - $132K/yr

... the contract first design principle and including use of API, Microservices, Microbatch, ELT ... decisioning, AI/NLP and consuming systems * Ensure data security by designing controls and ...

Showing results 21-40

Contract Ai Data Annotation information

What are the key skills and qualifications needed to thrive as a contract AI data annotation specialist?

To thrive as a Contract AI Data Annotation Specialist, you need attention to detail, familiarity with data labeling concepts, and at least a high school diploma or relevant experience. Proficiency with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as basic understanding of data formats, is typically required. Strong communication, time management, and the ability to follow precise guidelines help you excel in this role. These skills ensure accurate, high-quality datasets that are critical for training effective AI and machine learning models.

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

Contract AI data annotators often encounter challenges such as maintaining consistency across large datasets, understanding complex labeling guidelines, and meeting tight project deadlines. To address these, it's important to thoroughly review project documentation, participate in onboarding or training sessions, and communicate proactively with project managers or team leads when questions arise. Leveraging annotation tools efficiently and seeking feedback on your work can also help improve accuracy and productivity, making it easier to adapt to varying project requirements.

What is a contract AI data annotation?

A Contract AI Data Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train artificial intelligence (AI) and machine learning models. As a contractor, you'll work on specific projects for a set period, rather than as a full-time employee. The work is detail-oriented and may involve tasks like categorizing objects in photos, transcribing audio, or marking up text for sentiment or intent. This role is crucial in ensuring that AI systems learn accurately and perform well. Contract AI data annotators often work remotely and may be paid by the hour or per task.

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

AspectContract Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, project-based
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Contract Ai Data Annotation and Data Labeler roles are similar, both involve preparing data for AI systems. However, Contract Ai Data Annotation often encompasses a broader range of annotation tasks and may require familiarity with specific tools or platforms. Both roles are essential in AI development and are commonly found in tech industries, with similar work environments and credential requirements.

How much do you get paid for contract AI data annotation?

Contract AI data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the platform. Rates can vary based on experience, the type of data annotated, and the employer's budget, with some projects offering fixed payments per task or dataset.

What are the most commonly searched types of Ai Data Annotation jobs in Nevada?

The most popular types of Ai Data Annotation jobs in Nevada are:

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

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

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

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

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

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

Infographic showing various Contract Ai Data Annotation job openings in Nevada as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 44% In-person, and 56% Remote job distribution.

AI/ML Architect - Las Vegas, NV - Long term contract opportunity

Zodiac Solutions

Las Vegas, NV • On-site

Contractor

Re-posted 11 days ago


Job description

Position:-  AI/ML Architect

Location:- Las Vegas, NV ( 3 days hybrid in week)

Duration: Long term contract opportunity

Required Exp: 15+ years

Job Description:

Responsibilities: 
•  Design, develop, and implement Generative AI models leveraging RAG techniques to improve the performance of AI-driven applications.
•  Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions that meet business objectives.
•  Optimize and fine-tune existing AI models for enhanced accuracy and efficiency.
•  Conduct experiments and analyze results to iterate on model architecture and training strategies.
•  Stay updated with the latest advancements in AI, machine learning, and RAG methodologies to drive innovation within the team.

Requirements: 
•  Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
•  Proven experience in developing Generative AI models, with a strong understanding of RAG programming techniques.
•  Proficiency in programming languages such as Python, Java, or similar.
•  Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
•  Strong understanding of natural language processing (NLP) concepts and techniques.
•  Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) is a plus.
•  Experience with generative AI platforms (e.g., Kore.ai, lightningai, evidentlyai etc.,) is a plus
 
Thanks,
Sanjay Kumar
sanjay.kumar@zodiac-solutions.com