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How much do open ai jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for open ai in Virginia is $65.21, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $99.13 per hour, depending on experience, location, and employer.

What is OpenAI and what does the company do?

OpenAI is an artificial intelligence research organization that focuses on developing and promoting friendly AI for the benefit of humanity. The company is known for creating advanced AI models such as GPT (Generative Pre-trained Transformer) and DALL-E, which are used in natural language processing, image generation, and other AI applications. OpenAI conducts research, builds tools, and provides API access to its models for businesses and developers. Its mission is to ensure that artificial general intelligence (AGI) benefits everyone and to lead the way in AI safety and ethics.

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

To thrive as an AI Research Scientist, you need a strong foundation in computer science, mathematics, and machine learning, typically supported by an advanced degree (Master’s or PhD) in a related field. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and familiarity with cloud platforms and version control systems is essential. Creative problem-solving, strong communication, and the ability to collaborate within interdisciplinary teams are standout soft skills. These skills enable the development of innovative AI models and solutions, driving advancements and practical applications in artificial intelligence.

What are some common challenges faced by professionals working in AI research and development roles at companies like OpenAI?

Professionals in AI research and development roles often encounter challenges such as keeping up with the rapidly evolving landscape of machine learning techniques, ensuring ethical considerations are incorporated into their work, and collaborating effectively with multidisciplinary teams. Additionally, balancing the push for innovative solutions with the need for robust, reliable models can be demanding. Regularly communicating complex technical findings to non-technical stakeholders and contributing to open-source projects are also key aspects of the role.

What is the difference between Open Ai vs Data Scientist?

AspectOpen AiData Scientist
Required CredentialsTypically advanced degrees in AI, machine learning, or related fields; experience with AI frameworksDegree in computer science, statistics, or related fields; proficiency in programming and data analysis
Work EnvironmentResearch labs, tech companies, AI startups; focus on AI model developmentCorporate, consulting, or research settings; focus on data analysis and insights
Industry UsageAI research, machine learning development, AI product creationData analysis, predictive modeling, business insights
Common Search/ComparisonOpen Ai vs Data Scientist

Open Ai professionals focus on developing and researching artificial intelligence models, often working in research labs or tech companies. Data Scientists analyze data to generate insights, build predictive models, and support business decisions. While both roles require strong technical skills, Open Ai roles are more specialized in AI research and model creation, whereas Data Scientists focus on data analysis and interpretation.

How do I get a job with OpenAI?

To get a job with OpenAI, candidates should review current openings on their careers page, ensure they meet the required skills such as expertise in AI, machine learning, or software engineering, and submit a tailored application highlighting relevant experience. Strong technical skills, a background in research or development, and familiarity with AI tools are often preferred. The hiring process may include technical interviews and assessments.

What are the most commonly searched types of Open Ai jobs in Virginia?

The most popular types of Open Ai jobs in Virginia are:

What are popular job titles related to Open Ai jobs in Virginia?

For Open Ai jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Open Ai jobs in Virginia look for?

The top searched job categories for Open Ai jobs in Virginia are:

What cities in Virginia are hiring for Open Ai jobs?

Cities in Virginia with the most Open Ai job openings:

Open Ai jobs near you
Infographic showing various Open Ai job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $135,636 per year, or $65.2 per hour.

Applications Dev & Test - AI Solutions Architect 3

RIT Solutions, Inc.

Glen Allen, VA • On-site

Full-time

Re-posted 23 days ago

Job description

Job Summary:
RIT Solutions, Inc. is seeking an Applications Dev & Test - AI Solutions Architect 3 to serve as the technical owner for domain-specific solutions. The role involves developing technology specifications, designing solution architectures, and facilitating communications between IS workgroups and business stakeholders.
Responsibilities:
• Serve as technical owner and point of contact for domain specific solutions.
• Develop technology specifications and ensure that new technology solutions are designed for optimal access and usefulness.
• Apply architectural and engineering concepts to design a solution that meets operational requirements, such as scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability.
• Design and develop solution architectures that support the companys corporate business strategy and enterprise information & data strategy, with focus on Data Warehousing, Operational Data Stores and Business Intelligence.
• Assist in identifying the technologies to employ based on price, performance, service agreements, and organization constraints.
• Participate and lead research and development efforts (proofs of concept, prototypes), as subject matter experts, when introducing new technologies.
• Provide input to management throughout the project management lifecycle (PMLC) and assist managers with developing the service level agreements (SLAs) and deployment of key performance measures.
• Ensure technology solutions are production ready and meet the defined specifications; and that the solution can be maintained via production support methodologies and resources (knowledge management).
• Facilitate communications between IS workgroups and business stakeholders for technical issues and/or major changes, acting as the technical domain subject matter expert.
• Assume ownership of problems and incidents and communicates critical situation status.
Qualifications:
Required:
• Serve as technical owner and point of contact for domain specific solutions.
• Develop technology specifications and ensure that new technology solutions are designed for optimal access and usefulness.
• Apply architectural and engineering concepts to design a solution that meets operational requirements, such as scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability.
• Design and develop solution architectures that support the companys corporate business strategy and enterprise information & data strategy, with focus on Data Warehousing, Operational Data Stores and Business Intelligence.
• Assist in identifying the technologies to employ based on price, performance, service agreements, and organization constraints.
• Participate and lead research and development efforts (proofs of concept, prototypes), as subject matter experts, when introducing new technologies.
• Provide input to management throughout the project management lifecycle (PMLC) and assist managers with developing the service level agreements (SLAs) and deployment of key performance measures.
• Ensure technology solutions are production ready and meet the defined specifications; and that the solution can be maintained via production support methodologies and resources (knowledge management).
• Facilitate communications between IS workgroups and business stakeholders for technical issues and/or major changes, acting as the technical domain subject matter expert.
• Assume ownership of problems and incidents and communicates critical situation status.
• Lack of quick thinking
• Poor communication skills (Will be communicating with stakeholders and construction team)
• Not being a team player
• Not able to work Onsite
• Not flexible with attending EST meetings
• Quick thinking
• Good communication skills
• Team player
• Ability to work with the architecture team and potentially communicate with executives
• Forward-thinking about the recommended services and anticipated business needs.
• Expert level of technical knowledge and understanding of architecture, application systems design and integration with large scale deployments.
• IS / business experience, more specifically programming, engineering and/or systems analysis; broad level of understanding surrounding information systems.
• Strong technology implementation experience with Open AI, Co-pilots, Agentic Integrations for Enterprise applications.
• Strong hands-on experience with full-stack development using JavaScript, C#, Docker, AKS
• Strong understanding of GOF Design patterns, no-SQL stores, search indexes.
Preferred:
• Knowledge and skills in Graph Data Stores
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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