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Entry Level Open Ai Jobs (NOW HIRING)

Open to entry level candidates as well, provided they have a strong attitude and solid technical foundation * Team currently uses Gemini and Perplexity AI tools

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Entry Level Open Ai information

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$25K

$47.8K

$68.5K

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

As of Jun 12, 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 jobs often require foundational skills in programming, mathematics, and data analysis. Gaining experience through online courses, tutorials, and projects using tools like Python and machine learning frameworks can improve your chances; internships and certifications can also help demonstrate your interest and skills to employers.

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.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring extensive experience, advanced skills in programming, data analysis, and deep learning, as well as leadership responsibilities. These positions are usually found in large tech companies or specialized AI firms and may include bonuses, stock options, or other incentives that contribute to the total compensation package.

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.

How hard is it to get a job at OpenAI?

Securing an entry-level OpenAI position typically requires a strong foundation in relevant skills such as programming, machine learning, or AI research, along with a solid educational background. The application process is competitive, often involving multiple interview rounds assessing technical knowledge and problem-solving abilities.
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:
Infographic showing various Entry Level Open Ai job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $47,831 per year, or $23 per hour.
Entry Level AI/ML Engineer

Entry Level AI/ML Engineer

SynergisticIT

Milwaukee, WI

Other

Posted 2 days ago


Job description

SYNERGISTICIT is aware that the Job Market is Challenging due to almost 600,000 Tech Layoffs within the past 2 years due to which The Job market is flooded with thousands of laid off Techies who are competing with existing Jobseekers. For entry level Job seekers to get client interviews and jobs they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients.
Since 2010 we have helped Jobseekers differentiate themselves by providing the clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a Job we make careers.
All Positions are open for all visas and US citizens
We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this economy no client wants or has the resources to take an entry level person and spend resources on upgrading their skills and on top of that pay the jobseeker. That's the specific reason there are so many techies both experience and freshers who are unemployed.
Clients have now the option to hire remote workers from anywhere so for a Jobseeker its important to introspect and see how they can become better and have the skills and technologies to meet client requirements.
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry
We welcome candidates with all visas and citizens to apply.
If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.
please check the below links to see success outcomes of our candidates
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
If you have relevant skills and industry experience, please apply
For preparing for interviews please visit
https://www.synergisticit.com/interview-questions/
REQUIRED SKILLS For Java /Software Programmers
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of Core Java , javascript , C++ or software programming
  • Spring boot, Microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills
For data Science/Machine learning
REQUIRED SKILLS
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
  • Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis
Please understand skills and relevant experience on real world projects are required by clients for selection even if its Junior or entry level position the additional skills and Project work with hands on experience building projects at client site are the only way a candidate can be picked by clients.
No third party candidates or c2c candidates
please only apply to the posting
If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.
No phone calls please. Shortlisted candidates would be reached out.