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Weekend Ai Data Annotation Jobs in Nevada (NOW HIRING)

Socket.dev

Data Center Operations Manager

Reno, NV · On-site

$138 - $200/hr

Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift ... The AI and Infrastructure team is redefining what's possible. We empower Google customers with ...

Google

Data Center Operations Manager

Reno, NV · On-site

$166K/yr

Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift ... The AI and Infrastructure team is redefining what's possible. We empower Google customers with ...

Google

Data Center Technician II

Henderson, NV · On-site

Must have the ability to work non-standard hours, including working weekends, night shifts ... The AI and Infrastructure team is redefining what's possible. We empower Google customers with ...

Google

Data Center Technician, Operations

Reno, NV · On-site

Must have the ability to work non-standard hours, including working weekends, night shifts ... The AI and Infrastructure team is redefining what's possible. We empower Google customers with ...

TSMG

Driver / Data Collector in Elko, Nevada

Elko, NV · On-site

Due to weather downtime, work on weekends is possible. Company description Service Measure (SM) is ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

TSMG

Driver / Data Collector in Elko, Nevada

Elko, NV · On-site

Due to weather downtime, work on weekends is possible. Company description Service Measure (SM) is ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

TSMG

Driver / Data Collector in Elko, Nevada

Elko, NV · On-site

Due to weather downtime, work on weekends is possible. Company description Service Measure (SM) is ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

TSMG

Driver / Data Collector in Reno, NV

Reno, NV · On-site

Due to weather downtime, work on weekends is possible. Company description Terry Soot Management ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

TSMG

Driver / Data Collector in Reno, NV

Reno, NV

Due to weather downtime, work on weekends is possible. Company description Terry Soot Management ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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All JobsAi Data Annotation JobsWeekend Ai Data Annotation JobsWeekend Ai Data Annotation Jobs in Nevada

Weekend Ai Data Annotation information

What is a Weekend AI Data Annotation specialist?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.

What skills and qualifications are needed to thrive as a Weekend AI Data Annotation specialist?

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.

What are common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

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 Weekend Ai Data Annotation jobs in Nevada?

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

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

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

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

Weekend Ai Data Annotation jobs near you

Vice President II, Artificial Intelligence (VP of AI)

Las Vegas, NV • On-site

Credit One Bank
Finance and Insurance • 501 - 1,000 employees
Learn more about Credit One Bankexternal

Full-time

Re-posted 29 days ago

Job description

Description

Position Summary

The Vice President of Artificial Intelligence (VP of AI) will lead enterprise-wide AI strategy, innovation, and execution. This role oversees the development, deployment, and governance of AI/ML systems across the organization, ensuring measurable business value, responsible AI practices, and alignment with corporate strategic goals. The VP of AI collaborates closely with Technology, Data, Operations, Risk, Compliance, and Business Unit leadership to build scalable AI platforms, optimize business processes, and accelerate digital transformation.

Essential Job Functions
  • Define and lead the enterprise AI strategy, including advanced analytics, machine learning, deep learning, and generative AI capabilities.
  • Build and oversee AI Centers of Excellence (CoE) to drive innovation, reusable solutions, and best practices.
  • Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps frameworks.
  • Identify high-impact AI opportunities that drive automation, operational efficiency, customer experience improvements, and revenue growth.
  • Establish standards for Responsible AI, model governance, explainability, bias detection/mitigation, and regulatory compliance.
  • Lead the development, deployment, and lifecycle management of AI/ML models across multiple business units.
  • Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks.
  • Implement enterprise-wide generative AI solutions including LLMs, copilots, prompt engineering frameworks, and knowledge automation tools.
  • Collaborate with cybersecurity leaders to implement secure AI architectures, data protection controls, and model threat-defense mechanisms.
  • Promote cross-functional collaboration through transparency, communication, and evangelism of AI capabilities.
  • Build and manage high-performing AI teams including machine learning engineers, data scientists, AI product managers, and researchers.
  • Support annual planning, budgeting, strategic roadmaps, and executive-level presentations for AI programs.
  • Continuously monitor emerging AI trends, tools, and technologies and recommend adoption as appropriate.
  • Perform other duties as assigned.
Position Requirements
  • Bachelor’s degree in computer science, Engineering, Data Science, or related field. Master’s or PhD preferred.
  • 12–15+ years of progressive experience in AI/ML, software engineering, or data science, with 7+ years in leadership roles.
  • Demonstrated experience architecting, deploying, and scaling machine learning or deep learning systems in production.
  • Deep knowledge of Responsible AI frameworks, risk controls, and regulatory expectations.
  • Strong experience with cloud platforms (Azure preferred), distributed systems, and MLOps.
  • Exceptional communication skills, with ability to translate complex AI concepts for senior executives.
  • Proven ability to lead and inspire diverse technical teams.
  • Ability to drive outcomes, influence strategic decisions, and deliver business value.
  • Demonstrated alignment with company values of excellence, ownership, collaboration, and integrity.
PreferredCore AI Concepts and Technologies RequiredMachine Learning & Modeling
  • Supervised, unsupervised, reinforcement learning
  • Deep learning (CNNs, RNNs, Transformers)
  • Natural Language Processing (NLP) & LLMs
  • Generative AI (diffusion models, fine-tuning, RAG)
AI Engineering & MLOps
  • Model training, deployment, monitoring, and retraining
  • Feature stores, vector databases, and model registries
  • CI/CD pipelines for ML (MLOps)
  • GPU/accelerator compute architectures
Cloud & Infrastructure
  • Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
  • Kubernetes, containerization, microservices
  • Data platforms (Databricks, Snowflake, Synapse)
Responsible AI & Governance
  • Model explainability (SHAP, LIME)
  • Fairness, bias detection, model risk controls
  • Privacy-preserving ML techniques (differential privacy, federated learning)
Programming & Tooling
  • Python, PyTorch, TensorFlow, JAX
  • LangChain, semantic search, vector embeddings
  • Prompt engineering & LLM orchestration frameworks
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.

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