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Entry Level Open Ai Jobs (NOW HIRING)

Regal

AI Product Specialist

New York, NY · On-site

... current job openings! ABOUT THE ROLE: We believe that ten years from now, 90% of businesses ... We view this role as a jumping off point for entry-level talent looking to start their careers in ...

Elios AI

Technical Recruiter

Dallas, TX · On-site

Technical Recruiter Elios AI · Remote (US) · Entry-level to early-career About Elios AI We solve ... Source candidates across our curated network and the open market * Run first-round screens to ...

Elios AI

Technical Recruiter

Houston, TX · On-site

Technical Recruiter Elios AI · Hybrid (US) · Entry-level to early-career About Elios AI We solve ... Source candidates across our curated network and the open market * Run first-round screens to ...

Regal

AI Product Specialist

New York, NY

... current job openings! ABOUT THE ROLE: We believe that ten years from now, 90% of businesses ... We view this role as a jumping off point for entry-level talent looking to start their careers in ...

Elios AI

Junior Recruiter

Houston, TX · On-site

$60K - $70K/yr

Junior Recruiter Elios AI · Remote (US) · Full Time · Entry-level to early-career · $60K-$70K ... Source candidates across our curated network and the open market * Run first-round screens to ...

Elios AI

Junior Recruiter

Houston, TX · On-site

$60K - $70K/yr

Junior Recruiter Elios AI · Remote (US) · Full Time · Entry-level to early-career · $60K-$70K ... Source candidates across our curated network and the open market * Run first-round screens to ...

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All JobsTechnology JobsEntry Level Open Ai Jobs

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 Sep 1, 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 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.

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 do I get a job with OpenAI?

To get a job with OpenAI, candidates should have a strong background in artificial intelligence, machine learning, or related fields, along with programming skills in Python and experience with deep learning frameworks. Applying through OpenAI's careers page and demonstrating relevant skills through projects or research can improve chances. Relevant certifications or a portfolio of AI work can also be beneficial.

What is the most entry-level open ai job?

An entry-level OpenAI-related job often involves roles such as AI research assistant, data annotator, or junior machine learning engineer. These positions typically require basic understanding of AI concepts, programming skills in Python, and familiarity with machine learning tools, making them accessible to candidates with limited professional experience.

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 August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $47,831 per year, or $23 per hour.

AI Infrastructure Procurement Specialist

Diamond Bar, CA • On-site, Remote

Zenlayer
IT Services • 201 - 500 employees
Learn more about Zenlayerexternal

Full-time

Posted 28 days ago

Job description

We are looking for a highly motivatedAI Infrastructure Procurement Specialist to help expand our AI infrastructure footprint across the United States.


As AI computing demand continues to accelerate, you will be responsible for identifying, evaluating, and securing data center capacity nationwide. You will work closely with internal infrastructure, engineering, operations, and leadership teams to source colocation opportunities, negotiate commercial terms, and build long-term relationships with data center providers, landlords, utilities, and strategic partners.


This role requires frequent travel and is ideal for someone who enjoys building from the ground up in a fast-paced startup environment. Local candidates are preferred, however open to remote-based candidates as well.


Duties & Responsibilities

  • Source and evaluate data center opportunities across the United States to support AI infrastructure expansion.
  • Build and maintain relationships with colocation providers, real estate owners, developers, utility companies, and infrastructure partners.
  • Support procurement and commercial negotiations for data center capacity, including pricing, contract terms, and service agreements.
  • Coordinate cross-functionally with engineering, deployment, finance, and operations teams to assess site feasibility.
  • Assist with due diligence on power availability, facility readiness, connectivity, and operational requirements.
  • Track market intelligence, including data center availability, power capacity, pricing trends, and regional supply dynamics.
  • Travel extensively throughout the U.S. to visit sites, attend industry meetings, and develop partner relationships.
  • Help establish scalable sourcing processes as the company continues to grow.


RequiredQualifications:

  • 1+ years of experience in one or more of the following:
    • Procurement
    • Strategic Sourcing
    • Data Center Operations
    • Commercial Real Estate
    • Infrastructure Development
    • Facilities Management
    • Utility or Power-related industries
  • Strong communication and relationship management skills.
  • Comfortable working in a fast-moving, ambiguous environment.
  • Willingness to travel frequently across the United States (up to 50-70%).
  • Highly organized with strong project management skills.


Preferred Qualifications:

  • Experience in one or more of the following is a plus:
  • Data center procurement or capacity sourcing
  • Colocation services
  • Commercial real estate transactions
  • Power infrastructure or utility coordination
  • Site selection
  • Contract negotiation
  • AI/HPC infrastructure
  • Cloud infrastructure ecosystem


Entry-level candidates with strong learning ability are encouraged to apply. Experienced professionals are also welcome.


What We're Looking For

  • We're looking for someone who:
  • Has an entrepreneurial mindset and enjoys solving new challenges.
  • Is resourceful, proactive, and willing to roll up their sleeves.
  • Can build relationships quickly with external partners.
  • Is excited about helping build next-generation AI infrastructure.
  • Thrives in a startup environment where priorities evolve quickly.

Apply