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Entry Level Openai Jobs (NOW HIRING)

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... e.g., OpenAI, Anthropic, Hugging Face, etc.) ● Familiarity with programming languages commonly ...

Simulmedia

Generative AI Analyst

New York, NY · On-site

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... e.g., OpenAI, Anthropic, Hugging Face, etc.) • Familiarity with programming languages commonly ...

Generalist AI, Inc

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

This is an entry-level research role for individuals with less than 3 years of research experience ... Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics ...

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How much do entry level openai jobs pay per hour?

As of Jul 21, 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 often do not require extensive experience and may accept candidates with foundational skills in programming, mathematics, or data analysis. Gaining knowledge of tools like Python, machine learning frameworks, and completing relevant online courses or certifications can improve chances of securing such roles. Practical projects and a strong understanding of AI concepts are also beneficial for entry-level applicants.

How much does OpenAI pay entry-level?

Entry-level positions at OpenAI typically offer salaries ranging from $70,000 to $120,000 annually, depending on the role and location. These roles often require skills in machine learning, programming, or research, and may include benefits such as health insurance and stock options.

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.

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 such as research assistants and software engineers, which typically require foundational skills in AI, programming, or related fields. These roles often have minimal experience requirements and may include training or onboarding 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, relevant experience, and a background in AI or related fields. Candidates often need a solid understanding of machine learning, programming, and problem-solving abilities, along with a demonstrated interest in AI research or development. The hiring process typically involves multiple interviews and technical assessments.
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:
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Entry Level Openai jobs near you
Infographic showing various Entry Level Openai job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 12% Part Time, and 1% Contract. 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 - AI & Edge Kubernetes Orchestration

Software Engineer - AI & Edge Kubernetes Orchestration

ZEDEDA

San Jose, CA • On-site

Full-time

Posted 18 days ago

Job description

Job Summary:
ZEDEDA unlocks the value of AI where it matters most, enabling enterprises to create, secure and operate edge AI at scale. The company is seeking a curious, self-driven entry level Software Engineer who will work alongside experienced engineers on real-world problems in edge orchestration, focusing on integrating AI tools and technologies into their daily workflow.
Responsibilities:
• Design, develop, and maintain software components that bridge AI model lifecycle management with Kubernetes-based edge orchestration.
• Build and extend Kubernetes controllers, operators, and Custom Resource Definitions (CRDs) to support AI workload scheduling and deployment at the edge.
• Work with ONNX, GenAI, and ML models — integrating them into production-ready pipelines and edge environments.
• Use AI coding agents (Claude Code, Copilot, Codex, etc.) as first-class tools in your daily development workflow.
• Participate in design discussions, write clean code, submit pull requests, and iterate rapidly based on feedback.
• Contribute to open-source components related to ZEDEDA's platform and the broader cloud-native ecosystem.
• Write and maintain Helm charts for deploying services into Kubernetes clusters.
• Collaborate with cross-functional teams across AI, infrastructure, and product to ship features end-to-end.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, AI/ML, or a related technical field — or equivalent practical experience.
• Foundational knowledge of machine learning concepts: neural networks, deep learning, model training and inference, and attention mechanisms (self-attention / transformers).
• Familiarity with ONNX models, GenAI model architectures, or frameworks like PyTorch or TensorFlow.
• Practical exposure to Kubernetes — understanding of pods, deployments, services, namespaces, and controllers. Familiarity with lightweight Kubernetes distributions such as k3s is a plus, particularly in the context of resource-constrained edge environments.
• Comfort working with Git, submitting pull requests, reading diffs, and collaborating in a version-controlled environment.
• Ability to work with vague or evolving problem statements and drive toward clarity independently.
• Language-agnostic development mindset — you pick the right tool for the job and learn what you don't know.
• Comfortable with basic Linux commands and shell scripting.
Preferred:
• Hands-on experience with Kubernetes advanced constructs: Custom Resource Definitions (CRDs), Operators, Controllers, and the kubeconfig API.
• CKA (Certified Kubernetes Administrator) or CKD certification, or active preparation for it.
• Experience with AI agent frameworks: LangChain, LangGraph, LangFuse, or similar.
• Demonstrated use of AI coding tools (Claude Code, GitHub Copilot, OpenAI Codex) in real development workflows — not just familiarity, but fluency.
• Prior contribution to, or porting of, open-source projects.
• Experience with CI/CD systems: Jenkins, CircleCI, GitHub Actions, or similar.
• Familiarity with AWS or Azure tooling.
• Knowledge of cloud-native technologies: Kafka, REST APIs, SSO/OAuth, microservices patterns.
• Exposure to Helm chart authoring, not just usage.
• Awareness of edge computing concepts, IoT, or distributed systems.
• Familiarity with edge AI hardware platforms and inference infrastructure: NVIDIA Jetson (Jetpack SDK), Qualcomm IQ9, NVIDIA Triton Inference Server, vLLM, or similar model serving frameworks.
• Familiarity with ArgoCD or other GitOps-based continuous delivery tools for Kubernetes.
Company:
ZEDEDA is a provider of distributed orchestration and virtualization software for Edge AI Compute. Founded in 2016, the company is headquartered in San Jose, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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