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Remote Prompt Engineering Jobs in Nevada (NOW HIRING)

Remote Prompt Engineering information

See Nevada salary details

$17

$33

$48

How much do remote prompt engineering jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for remote prompt engineering in Nevada is $33.66, according to ZipRecruiter salary data. Most workers in this role earn between $26.92 and $38.94 per hour, depending on experience, location, and employer.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What are the most commonly searched types of Prompt Engineering jobs in Nevada?

The most popular types of Prompt Engineering jobs in Nevada are:

What are popular job titles related to Remote Prompt Engineering jobs in Nevada?

For Remote Prompt Engineering jobs in Nevada, the most frequently searched job titles are:

What cities in Nevada are hiring for Remote Prompt Engineering jobs?

Cities in Nevada with the most Remote Prompt Engineering job openings:

Infographic showing various Remote Prompt Engineering job openings in Nevada as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $70,019 per year, or $33.7 per hour.

Manager, AI-Native Software Engineering

Libra Solutions

Las Vegas, NV • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

When life gets hard, we make it easier! Libra Solutions helps overcome the burdens created by slow-moving legal processes. Combining technical innovation and financial strength, we help speed up cumbersome workflows and ease financial barriers for our customers. 

Through the MoveDocs personal injury solutions platform, Libra integrates and streamlines medical, financial, and professional services for personal injury cases.  Our mission is to help personal injury victims receive the medical care and personal funding needs they require, and to help streamline the process for the attorneys and medical providers that serve these victims.  Libra operates under the MoveDocs, Oasis Financial and Probate Advance brands. We are proud of our mission and passionate about applying technology to the challenge of making healthcare more accessible. 

Together, under the Libra Solutions banner, we have relationships with over 50,000 attorneys and over 12,000 healthcare providers nationwide, which gives us an amazing platform to service our customers.   

Job description

The Manager, AI-Native Software Engineering leads a team of engineers building and maintaining the platforms that power Libra Solutions' products within an agentic delivery model. This role combines people leadership with technical oversight, and is accountable for delivering high-quality software, growing the team's AI-native capabilities, and ensuring the team operates effectively in a pod model where AI agents are active participants in the SDLC alongside human engineers. 

The ideal candidate is a player-coach who manages and develops a team effectively while staying connected to the technical work. They bring strong engineering depth in the Microsoft / Azure stack, proven people leadership skills, and demonstrated experience leading teams. This role partners closely with Engineering, Product, and business stakeholders to delivery high-quality software at scale.

This position reports to the Director of Engineering and can be based in any of our office locations in Denver, CO, Huntersville, NC, Rosemont, IL or Las Vegas, NV. We welcome strong remote candidates, with occasional travel to Las Vegas as needed.

Position Responsibilities:

Team Leadership and People Management

  • Manage, mentor, and develop a team of software engineers across all experience levels
  • Conduct regular 1:1s, provide timely and constructive feedback, and support each engineer's professional growth and career development
  • Partner with recruiting to grow the team by attracting and hiring engineers aligned with the team's AI-native technical direction
  • Set clear expectations, foster accountability, and build a culture of trust, collaboration, and continuous improvement
  • Address performance issues constructively and proactively

Engineering Delivery

  • Own the team's delivery commitments; ensure features, bug fixes, and technical investments are completed on time and meet quality standards
  • Participate in sprint planning, backlog refinement, and prioritization discussions with Product and stakeholders
  • Remove blockers, manage dependencies, and ensure the team has what it needs to execute effectively
  • Monitor and continuously improve team velocity, predictability, and delivery health within the agentic pod model
  • Technical Oversight and Practice
  • Maintain strong technical engagement: participate in architecture discussions, code reviews, and technical planning
  • Ensure the team adheres to engineering standards for C# / .NET, API design, database patterns, front-end development, and CI/CD using Azure DevOps
  • Identify and address technical debt; champion sustainable engineering practices
  • Drive adoption and effective use of AI-assisted development tools (GitHub Copilot, Claude, Azure OpenAI) across the team; ensure engineers are working in an agentic delivery rhythm where AI handles generation at scale and engineers own judgment, quality, and architectural decisions
  • Partner with other engineering leaders to define and uphold organizational AI development standards, prompt engineering practices, and AI output review requirements

Metrics and Continuous Improvement

  • Track and evaluate team-level engineering metrics, including sprint velocity and predictability, CI/CD pipeline health, production incidents, defect backlog trends, and system performance data to identify systemic issues and drive continuous improvement
  • Use data to communicate engineering health, technical decisions, tradeoffs, and statuses clearly to stakeholders and leadership
  • Contribute to engineering-wide initiatives including hiring practices, standards, tooling, and process improvement

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent professional experience
  • 7+ years of professional software development experience
  • 2+ years of people management or team leadership experience
  • Strong hands-on background in C# / ASP.NET Core, Entity Framework Core, SQL Server / Azure SQL, and React or Angular
  • Experience with Azure DevOps, CI/CD pipelines, and cloud-native deployment practices on Azure
  • Experience partnering closely with engineering, product, and business stakeholders in an agile delivery environment
  • Demonstrated ability to lead, develop, and retain a high-performing engineering team
  • Strong problem-solving, communication, organizational, and coaching skills
  • Hands-on familiarity with AI-assisted development tooling (GitHub Copilot, Claude, Azure OpenAI) and a demonstrated commitment to building AI-native engineering practices; able to coach engineers on effective prompt engineering, AI output evaluation, and responsible AI use
  • Experience leading teams within agentic or AI-accelerated delivery models, or a clear understanding of how agentic workflows change team rhythms, role expectations, and quality ownership

Benefits

Libra Solutions offers competitive compensation and benefits that include medical, dental, vision and life insurance plans, plus a 401k match and paid time off.