ZipRecruiter

Log In

2

Openai Remote Jobs in Nevada (NOW HIRING)

All JobsOpenai JobsOpenai Remote JobsOpenai Remote Jobs in Nevada

Openai Remote information

What is the difference between Openai Remote vs Data Scientist?

AspectOpenai RemoteData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, programming (Python), and sometimes a relevant degreeRequires a degree in statistics, computer science, or related fields; proficiency in data analysis tools
Work EnvironmentRemote, collaborative online platforms, flexible hoursOften remote or in-office, collaborative teams, project-based work
Industry UsageAI research, tech companies, startupsTech, finance, healthcare, consulting
Common Search & ComparisonYesYes

Openai Remote roles focus on AI and machine learning tasks, often requiring programming skills and familiarity with AI tools. Data Scientists analyze data to inform business decisions, requiring statistical and analytical expertise. While both roles may be remote and involve data or AI, Openai Remote positions are more specialized in AI development, whereas Data Scientists focus on data analysis across various industries.

Who owns 51% of OpenAI?

OpenAI is a private company with a mixed ownership structure. As of now, no individual or entity owns 51% of OpenAI; it is primarily owned by its founders, employees, and investors. The organization operates as a capped-profit company focused on AI research and development.

What are some common challenges faced by employees working remotely at OpenAI, and how does the company support remote team collaboration?

Remote employees at OpenAI often face challenges such as maintaining clear communication across time zones, building strong connections with colleagues, and staying engaged with fast-paced project updates. To address these, OpenAI utilizes a range of collaboration tools, holds regular virtual meetings, and fosters a culture of transparency and support. The company also encourages asynchronous communication and provides resources to help remote team members feel included and aligned with organizational goals.

How hard is it to get hired by OpenAI?

Getting hired for an OpenAI remote position typically requires a strong background in relevant fields such as machine learning, AI research, or software engineering, along with demonstrated technical skills and experience. The application process often involves multiple interview stages, including technical assessments and behavioral interviews, making it competitive for qualified candidates.

What are the key skills and qualifications needed to thrive as an OpenAI Remote employee, and why are they important?

To thrive as an OpenAI Remote employee, you generally need strong expertise in artificial intelligence, machine learning, or software engineering, often supported by an advanced degree or significant industry experience. Familiarity with tools such as Python, PyTorch or TensorFlow, as well as version control systems like Git, is typically required. Exceptional communication, self-motivation, and the ability to collaborate effectively across time zones are crucial soft skills in a remote environment. These competencies ensure high productivity, seamless teamwork, and the ability to drive innovation in a distributed, fast-evolving field.

What are OpenAI remote jobs?

OpenAI remote jobs are positions offered by OpenAI that allow employees to work from locations outside of a traditional office setting. These roles can span a variety of fields such as research, engineering, operations, and more, enabling team members to collaborate virtually from anywhere in the world. OpenAI supports a flexible work environment and seeks to attract talent globally by offering remote opportunities. Applicants are still expected to meet certain criteria, such as time zone compatibility and strong communication skills. Remote employees typically interact with their teams through digital tools and regular virtual meetings.

How can I make 2000 a week working from home?

To make $2000 a week working from home in a role like OpenAI remote work, you typically need to have specialized skills, such as AI development, data analysis, or technical writing, and often work as a freelancer, consultant, or in a high-paying remote position. Building a strong portfolio, gaining relevant certifications, and leveraging platforms that connect remote professionals can help increase earning potential. Consistent high-quality work and expanding your client base are key to reaching this income level.

Does OpenAI offer anything remote?

OpenAI offers remote job opportunities, including roles like OpenAI Remote positions, which often involve collaboration using online tools and require strong communication skills. These roles typically support flexible schedules and may require familiarity with AI technologies and remote work best practices.
What are the most commonly searched types of Openai jobs in Nevada? The most popular types of Openai jobs in Nevada are:
What are popular job titles related to Openai Remote jobs in Nevada? For Openai Remote jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Openai Remote jobs in Nevada look for? The top searched job categories for Openai Remote jobs in Nevada are:
What cities in Nevada are hiring for Openai Remote jobs? Cities in Nevada with the most Openai Remote job openings:
Openai Remote jobs near you
Infographic showing various Openai Remote job openings in Nevada as of July 2026, with employment types broken down into 4% Locum Tenens, 87% Full Time, 1% Part Time, 3% Contract, and 5% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Manager, AI-Native Software Engineering

Libra Solutions

Las Vegas, NV • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 hours 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.

Apply