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Ai Without Experience Jobs (NOW HIRING)

Trustly, Inc.

$210 - $320/hr

To build the world's most disruptive payment network and redefine what the payment experience ... fast with AI without compromising security. WHAT YOU'LL DO * Own security assessment and risk ...

Opsin Inc.

Software Engineer

San Jose, CA · On-site

$120 - $180/hr

Familiarity with AI driven products and engineering * (Desirable) Experience with Python, SQL ... Our platform ensures employees can leverage AI without exposing sensitive or over-permissioned ...

Opsin Inc.

Staff Engineer (Backend)

San Jose, CA · On-site

$150 - $230/hr

Your Experience &Skills * 8+ years in a core software engineering team, shipping scalable software ... Our platform ensures employees can leverage AI without exposing sensitive or over-permissioned ...

Zscaler

Principal AI Security Specialist - East

Zscaler is seeking an experienced Principal AI Security Specialist to bridge the gap between ... AI without compromising their data or infrastructure. If you are a builder, an educator, and a ...

Harrison Clarke

Director of Product Management

Seattle, WA · On-site

$265K - $277K/yr

As companies invest heavily in generative AI without clear visibility, the platform brings control ... Experience taking products from customer discovery through launch, adoption, and iteration

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How much do ai without experience jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai without experience in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is an AI job without experience?

An AI job without experience typically refers to entry-level positions in the field of artificial intelligence that don't require prior professional experience. These roles may include AI research assistants, data annotators, junior machine learning engineers, or AI interns. To get started, it's helpful to build foundational knowledge in programming (often Python), mathematics, and basic machine learning concepts through free online courses or tutorials. Creating personal projects, participating in AI competitions like Kaggle, and showcasing your skills on platforms like GitHub can also improve your chances. Networking and applying for internships or volunteer opportunities can further help you break into the AI industry.

What tasks can someone without prior AI experience expect to handle in an entry-level AI role?

If you're joining an AI team without prior experience, you'll likely start with foundational tasks such as data collection, data labeling, and preparing datasets for model training. You may also assist with running basic scripts, testing models, or supporting documentation efforts. These responsibilities help you build a solid understanding of AI workflows while collaborating closely with data scientists, engineers, and project managers. Over time, you'll gain exposure to more complex aspects of AI development as you build your skills.

What skills and qualifications are needed to thrive in an entry-level AI role without prior experience?

To thrive in an entry-level AI role without prior experience, you generally need a foundational understanding of mathematics, programming (especially Python), and basic concepts in machine learning, often demonstrated through coursework, personal projects, or online certifications. Familiarity with tools like TensorFlow, scikit-learn, or Jupyter Notebooks, as well as completion of beginner-level AI or data science certificates, is typically expected. Strong problem-solving abilities, curiosity, and a willingness to learn rapidly help you stand out as a motivated and adaptable candidate. These skills and qualities are crucial for building a solid base in AI and progressing to more advanced responsibilities within the field.

What is the difference between Ai Without Experience vs Data Analyst?

AspectAi Without ExperienceData Analyst
Required CredentialsBasic understanding of AI concepts, online courses, or certificationsBachelor's degree in data science, statistics, or related field; certifications preferred
Work EnvironmentEntry-level, often remote or in tech companiesOffice or remote, working with data sets and analytics tools
Industry UsageGrowing in tech, startups, and AI-focused companiesFinance, healthcare, marketing, and other industries
Search & Comparison IntentUnderstanding entry-level AI rolesComparing entry-level data roles with AI positions

Ai Without Experience is an entry-level role suitable for those starting in AI, often requiring basic knowledge or certifications. Data Analyst roles typically demand a degree and analytical skills. While both are data-related, Ai Without Experience focuses on AI concepts, whereas Data Analysts work with data interpretation and reporting.

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Ai Without Experience jobs near you
Infographic showing various Ai Without Experience job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

GPU Resource Acquisition Manager

GMI Cloud

Mountain View, CA • On-site

Other

Re-posted 21 days ago

Job description

About the Company


GMI Cloud is a fast-growing AI infrastructure company backed by Headline VC and one of only six cloud providers worldwide to earn NVIDIA’s prestigious Reference Platform Cloud Partner designation.


We operate 8 of our own GPU clusters across the U.S. and Asia, delivering a full spectrum of services from GPU compute service to AI model inference API solutions. As an NVIDIA Reference Platform Cloud Partner, our infrastructure meets the highest standards for performance, security, and scalability in AI deployments. We empower AI startups and enterprises to “build AI without limits,” providing everything they need to prototype, train, and deploy AI models quickly and reliably.



About the Role

Key Responsibilities:


1.GPU Resource Sourcing & Market Analysis

  • Identify and evaluate global GPU resource providers.
  • Monitor market trends, pricing models, and availability to secure cost-effective, scalable solutions.
  • Maintain a real-time database of GPU inventory, pricing benchmarks, and vendor performance metrics.


2.Vendor relationship & management

  • Establish and nurture strategic relationships with key decision-makers (e.g., CEOs, VPs of Engineering, CTOs) at GPU resource vendors.
  • Regularly assess vendor performance to ensure compliance with agreed-upon service levels and identify areas for improvement.


3.Partnership Development & Technical Collaboration

  • Negotiate partnership terms to secure dedicated engineering support, priority access to clusters, and custom SLAs.
  • Collaborate with vendors to co-develop tools or APIs for seamless cluster management and resource allocation.


4.Internal Stakeholder Coordination

  • Work with sales, engineering, finance, and procurement teams to ensure vendor agreements meet technical and budgetary requirements.
  • Provide regular updates on partnership milestones, risks, and opportunities to leadership.

Qualifications


  • Extensive experience in sourcing and managing GPU resources, preferably in the AI infra industry.
  • Proven track record of building and maintaining strong relationships with vendors.
  • Excellent negotiation and communication skills.
  • Deep understanding of the GPU market and related technologies.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a team.

Apply