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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 Sep 2, 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 is an entry level OpenAI job?

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.

What skills and qualifications are needed to thrive as an entry level OpenAI employee?

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.

What are 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.

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 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:

What job categories do people searching Entry Level Openai jobs look for?

The top searched job categories for Entry Level Openai jobs are:

Infographic showing various Entry Level Openai job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $35,227 per year, or $16.9 per hour.

ERCS Data & Tech - Forward Deployed Engineer - Experienced Associate

Pwc

San Francisco, CA • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

The Opportunity
As an ERCS Data & Tech - Forward Deployed Engineer, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Within our Risk & Regulatory practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role, you are expected to take ownership of project tasks focused on designing, building, and supporting scalable technology solutions that leverage AI capabilities. You will work closely with business and technical stakeholders to deliver innovative solutions that address challenges across multiple risk domains, including internal audit, SOX compliance, and forensics. You will be expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope, while taking ownership and consistently delivering quality work that drives value for our clients and success as a team.
Responsibilities
- Developing, testing and maintaining AI-powered full-stack applications
- Building application features across frontend, backend, APIs, databases, and cloud environments.

Integrate AI services and automation capabilities into enterprise applications and business workflows
- Collaborating with team members to translate business requirements into technical solutions and application functionality. 
- Supporting application deployment, monitoring, and maintenance using modern software engineering and DevOps practices
- Ensuring data quality, security, and compliance requirements are incorporated into application development activities

- Building and maintaining data pipelines, retrieval systems, and integrations that enable AI-powered applications to access, process, and utilize enterprise data efficiently and securely
- Applying natural language processing techniques to improve text analytics
- Participating in client support activities to address data and technology challenges
What You Must Have
- At least a Bachelor's degree
- At least 1 year of experience designing, developing, and supporting software applications, AI-powered solutions, or related technology platforms
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- Demonstrating strong foundation in software engineering principles, application development, and system design
- Building and supporting full-stack applications using frontend and backend technologies
- Integrating AI capabilities into applications using platforms such as OpenAI, Azure AI, Copilot Studio, Gemini, Claude, AgentSpace, and similar technologies.

- Implementing AI solutions with a focus on natural language processing
- Excelling in active listening and communication within team environments

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK