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Ai Model Jobs in Nevada (NOW HIRING)

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

Legal Counsel - AI Trainer

Reno, NV · Remote

$90 - $130/hr

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

Sr AI/ML Engineer

Sparks, NV · On-site

$106K - $146K/yr

Advanced AI/ML Modeling & Technical Leadership: * Architect, train, and optimize advanced models including transformers, GANs, RL agents, and real-time systems. * Provide technical leadership, mentor ...

Programmer - AI Trainer

Las Vegas, NV · On-site +1

$50 - $100/hr

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging ...

Showing results 21-40

Ai Model information

What is an AI model?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What are some common challenges faced by professionals working as AI model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.

What are popular job titles related to Ai Model jobs in Nevada?

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

Infographic showing various Ai Model job openings in Nevada as of August 2026, with employment types broken down into 67% Full Time, 18% Part Time, and 15% Contract. Highlights an 89% In-person, and 11% Remote job distribution.

Legal Counsel - AI Trainer

micro1 AI

Las Vegas, NV • Remote

$90 - $130/hr

Part-time

Re-posted 17 days ago


Job description

Role Title: General Counsel


Role Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront of legal AI. This opportunity is for elite legal professionals who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.



Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Create, review, and refine contract negotiation playbooks based on diverse real-world scenarios and company requirements.
  3. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  4. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  5. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. Minimum of 3 years of Counsel experience focused on technology transactions, particularly negotiating MSAs, NDAs, DPAs, APAs and SPAs.
  2. Exceptional written and verbal communication skills with meticulous attention to detail.
  3. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  4. Demonstrated commitment to innovation at the intersection of law and technology.
  5. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Compensation Structure:

Compensation is task-based; experts are paid per task that meets the project specifications. The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by specific task.