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Entry Level Openai Jobs (NOW HIRING)

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Entry Level Openai information

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How much do entry level openai jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for entry level openai in the United States is $16.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.03 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level professionals working with OpenAI technologies, and how can they overcome them?

Entry-level professionals working with OpenAI technologies often encounter challenges such as keeping up with rapid advancements in AI models, understanding complex APIs, and collaborating effectively with multidisciplinary teams. To overcome these, it's helpful to actively engage with official OpenAI documentation, participate in community forums, and seek mentorship from experienced colleagues. Building a habit of continuous learning and hands-on experimentation with OpenAI tools will also accelerate your growth and confidence in the role.

Can I get an AI job with no experience?

Entry-level AI jobs, including roles involving OpenAI technologies, often do not require prior experience but typically expect foundational skills in programming, mathematics, or data analysis. Gaining relevant knowledge through online courses, certifications, or personal projects can improve chances of securing such positions. Employers may also value demonstrated problem-solving ability and familiarity with AI tools like Python or machine learning frameworks.

What is the difference between Entry Level Openai vs Data Analyst?

AspectEntry Level OpenaiData Analyst
Required CredentialsBasic programming, AI knowledge, possibly a degree in CS or related fieldDegree in Data Science, Statistics, or related field; proficiency in SQL, Excel, and data visualization tools
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and tech industries
Employer & Industry UsagePrimarily in AI and machine learning projectsAnalyzing data to inform business decisions across industries

Entry Level Openai roles focus on developing and implementing AI models, requiring programming and AI knowledge. Data Analysts interpret data to support business strategies, often using statistical tools. While both roles involve data and technical skills, Entry Level Openai positions are more specialized in AI development, whereas Data Analysts focus on data interpretation and reporting.

Are there any entry-level AI jobs?

Yes, entry-level AI jobs are available and often include roles such as AI assistant, data analyst, or machine learning technician. These positions typically require foundational knowledge of programming, data handling, and basic understanding of AI concepts, and may involve using tools like Python or TensorFlow.

What are Entry Level OpenAI jobs?

Entry Level OpenAI jobs are positions at OpenAI designed for individuals who are early in their careers or have limited professional experience in artificial intelligence or related fields. These roles typically focus on supporting research, engineering, or operational teams and may include job titles like Research Assistant, Software Engineer Intern, or Technical Program Coordinator. Entry-level employees at OpenAI often work on real-world AI projects, assist with data analysis, contribute to coding tasks, and collaborate with more senior team members. These positions provide valuable exposure to cutting-edge AI technologies and offer opportunities for skill development, mentorship, and career growth within the organization.

Does OpenAI hire entry-level?

OpenAI offers entry-level positions, including roles suitable for candidates with limited professional experience. These roles often require skills in programming, machine learning, or AI research, and may involve onboarding programs or training for new employees.

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

To thrive in an entry-level role at OpenAI, you generally need a solid background in computer science, mathematics, or a related field, with proficiency in programming languages such as Python. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems (such as Git), and cloud platforms is highly beneficial. Strong problem-solving skills, curiosity, and the ability to collaborate effectively with multidisciplinary teams are standout soft skills. These competencies are crucial for contributing to innovative AI projects and adapting to the fast-evolving landscape of artificial intelligence research and development.

How easy is it to get a job at OpenAI?

Getting an entry-level position at OpenAI can be competitive, as the organization seeks candidates with strong technical skills in AI, machine learning, or related fields, along with relevant experience or education. Candidates often need to demonstrate proficiency in programming languages like Python and familiarity with AI frameworks, and the application process typically involves multiple interview stages. While opportunities exist for those with the right skills and background, securing a role requires a solid understanding of AI concepts and a strong application package.
What cities are hiring for Entry Level Openai jobs? Cities with the most Entry Level Openai job openings:
What are the most commonly searched types of Openai jobs? The most popular types of Openai jobs are:
What states have the most Entry Level Openai jobs? States with the most job openings for Entry Level Openai jobs include:
Infographic showing various Entry Level Openai job openings in the United States as of June 2026, with employment types broken down into 9% Full Time, 82% Contract, and 9% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,227 per year, or $16.9 per hour.
Software Engineer, Agentic AI Systems - Moveworks

Software Engineer, Agentic AI Systems - Moveworks

ServiceNow

Mountain View, CA

Full-time

Posted 18 hours ago


Key responsibilities

  • Build and evolve AI agent systems focusing on areas such as agent orchestration, sandboxed file systems, code execution, latency optimization, agent memory, LLM self-reflection, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

  • Implement AI algorithms and architectures and help productionize them at scale.

  • Use advances in machine learning and LLMs to enhance products and create user experiences.


Job description

Company Description

Who we are

Moveworks is the Agentic AI Assistant platform that empowers the entire workforce. 

Our platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by the world's most advanced LLMs, our proprietary models, and a sophisticated Agentic AI platform, we're transforming how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt.

Moveworks is trusted by over 5.5 million employees at more than 350 of the world's largest companies, including 10% of the Fortune 500, to automate everyday tasks and streamline business operations. Recognized on the Forbes Cloud 100 and AI 50 lists, Moveworks was also named one of Fast Company's 2025 Most Innovative Companies and Inc's Best in Business, in the Best in Innovation category. Moveworks was also recognized at Microsoft's 2025 Partner of the Year and in 2024, received the AI Breakthrough Award. 

In December 2025, Moveworks was acquired by ServiceNow, marking a pivotal milestone in our journey to create a single front door to work for all business systems. By combining ServiceNow's leading workflow automation with Moveworks' Reasoning Engine and natural language capabilities, we deliver the AI platform for every person and every workflow. Built to go beyond basic summaries to deliver meaningful business impact. Together, our AI acts across enterprise systems to turn conversations into completed work.

By joining our team, you'll be at the forefront of the AI transformation, backed by the global scale of ServiceNow and the agility of a high-growth company. We are looking for world-class talent to help us extend agentic AI to every employee across every corner of the business. 

Come join us!

ServiceNow

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

The Role
Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a software engineer on our "agent lab" Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we'd love to have a conversation.


What you get to do in this role:

  • Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
  • Implement frontier AI algorithms and architectures and help productionize them at scale
  • Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
  • Contribute to roadmap and help drive the evolution of engineering areas of growing scope and impact to create lasting value for all our customers
  • Hone your craft in writing robust, extensible, readable, and performant code
  • Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
  • Mentor other engineers on the team in how to build, maintain, and evolve great software
  • Collaborate with machine learning engineers, learn from each other, and build world-class AI systems
Qualifications

To be successful in this role you have:

  • Entry level experience designing, building, and improving production systems, ideally at scale
  • Ability to think and communicate clearly about complex engineering problems and systems
  • Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
  • Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
  • Desire to ship at a startup pace with a high degree of ownership
  • Attention to detail
  • Drive to ship product improvements with production-grade code
  • Strong appetite for continuous incremental wins and completing challenging projects fast
  • High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI
Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license. 


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About ServiceNow

Sourced by ZipRecruiter

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're proud to be one of FORTUNE's 100 Best Companies to Work For® and World's Most Admired Companies® 2022.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2004