ZipRecruiter

Log In

2

Entry Level Open Ai Jobs (NOW HIRING)

XPENG

AI Intern - VLA Deployment

Santa Clara, CA

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... Contributions to research projects, open-source repositories, or relevant course projects. What do ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... Contributions to research projects, open-source repositories, or relevant course projects. What do ...

Peak Systems

Be Seen First

Entry Level Server Technician IMAC

Minneapolis, MN · On-site

$30 - $35/hr

Free training to boost your skills and open new opportunities * Every project is different! Company ... Whether you're looking to expand your experience in data centers, AI infrastructure, field services ...

New

CRH

Corporate Recruiter (Entry Level)

Rochester, NY · On-site

$52K - $55K/yr

Post all open positions to multiple sources to drive applicant traffic * Review and call every ... AI tools may be used in certain stages of the employment lifecycle, such as candidate review ...

next page

Showing results 1-20

All JobsOpen Ai JobsEntry Level Open Ai Jobs

Entry Level Open Ai information

See salary details

$25K

$47.8K

$68.5K

How much do entry level open ai jobs pay per year?

As of Jul 23, 2026, the average yearly pay for entry level open ai in the United States is $47,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What are entry level OpenAI jobs?

Entry level OpenAI jobs are positions at OpenAI that are suitable for individuals who are early in their careers or have limited professional experience. These roles may include positions such as research assistant, software engineer intern, or data analyst, where the focus is on supporting AI research, development, and deployment. Candidates typically need a foundational background in computer science, mathematics, or a related field, but do not necessarily need advanced degrees or years of experience. OpenAI values candidates who are passionate about artificial intelligence, eager to learn, and capable of working in a collaborative environment. Entry level roles provide a great opportunity to gain hands-on experience in cutting-edge AI technologies.

How do I get a job in AI with no experience?

Entry-level AI roles often require foundational knowledge in programming, mathematics, and machine learning concepts. Gaining skills through online courses, tutorials, and practicing with tools like Python and TensorFlow can help build your portfolio. Internships, volunteering projects, or certifications can also improve your chances of entering the field without prior experience.

What types of projects or tasks can an Entry Level OpenAI team member expect to work on in their first year?

As an entry-level team member at OpenAI, you can expect to contribute to a variety of projects that may include data annotation, model evaluation, running experiments, and assisting in fine-tuning AI models. You’ll often collaborate closely with researchers and engineers, supporting their efforts by preparing datasets, analyzing results, and documenting findings. The role is fast-paced and encourages learning through hands-on experience, with mentorship and regular feedback. Over time, you may have opportunities to take on more complex tasks or specialize in areas such as natural language processing or machine learning infrastructure.

What is the difference between Entry Level Open Ai vs Entry Level Data Scientist?

AspectEntry Level Open AiEntry Level Data Scientist
Required CredentialsBachelor's in Computer Science, AI, or related field; familiarity with AI frameworksBachelor's or Master's in Data Science, Statistics, or related field; programming skills in Python/R
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Industry UsageDeveloping AI models, NLP, machine learning applicationsData analysis, predictive modeling, data visualization

Entry Level Open Ai roles focus on developing and implementing AI models, often requiring knowledge of AI frameworks and programming. Entry Level Data Scientist positions involve analyzing data, building models, and deriving insights. While both roles require programming skills and a background in related fields, Open Ai roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

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

To excel as an Entry Level OpenAI Engineer, you typically need a strong foundation in computer science, programming (especially Python), and basic knowledge of machine learning concepts, often supported by a relevant degree. Familiarity with AI frameworks like TensorFlow or PyTorch, experience using APIs, and an understanding of cloud computing platforms are commonly required. Curiosity, problem-solving skills, and effective communication set candidates apart and foster a collaborative work environment. These skills ensure you can contribute meaningfully to AI projects, adapt to rapidly evolving technologies, and communicate complex ideas clearly.

Does OpenAI hire entry-level?

OpenAI offers entry-level positions, including roles for those new to the field, often requiring skills in programming, machine learning, or AI research. These roles may involve internships or junior positions that provide on-the-job training and development opportunities.

How hard is it to get a job at OpenAI?

Getting an entry-level OpenAI position typically requires a strong foundation in relevant skills such as programming, machine learning, or AI research, along with a relevant degree or experience. The application process is competitive, often involving multiple interview rounds assessing technical knowledge and problem-solving abilities.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, which offer compensation in that range including salary, bonuses, and stock options. Entry-level AI roles generally have lower salaries, but advanced roles requiring extensive experience, specialized skills, and leadership responsibilities can reach or exceed this figure.
What cities are hiring for Entry Level Open Ai jobs? Cities with the most Entry Level Open Ai job openings:
What are the most commonly searched types of Open Ai jobs? The most popular types of Open Ai jobs are:
What states have the most Entry Level Open Ai jobs? States with the most job openings for Entry Level Open Ai jobs include:
What job categories do people searching Entry Level Open Ai jobs look for? The top searched job categories for Entry Level Open Ai jobs are:
Entry Level Open Ai jobs near you
Infographic showing various Entry Level Open Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 16% Part Time, and 11% Contract. Highlights an 74% In-person, 5% Hybrid, and 21% Remote job distribution, with an average salary of $47,831 per year, or $23 per hour.
Software Engineer - AI & Edge Kubernetes Orchestration - San Jose, CA

Software Engineer - AI & Edge Kubernetes Orchestration - San Jose, CA

ZEDEDA

San Jose, CA • On-site

Full-time

Posted 19 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. They are seeking a curious, self-driven entry level Software Engineer to work on real-world problems in edge orchestration, collaborating with experienced engineers and contributing to the development of software components that bridge AI model lifecycle management with Kubernetes-based edge orchestration.
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.

Apply