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No Experience Artificial Intelligence Jobs (NOW HIRING)

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH ยท On-site

$111K - $133K/yr

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and contribute to the development of a robust AI-enabled solution. As an AI Engineer, you will be ...

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No Experience Artificial Intelligence information

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$11K

$102.9K

$133K

How much do no experience artificial intelligence jobs pay per year?

As of Aug 10, 2026, the average yearly pay for no experience artificial intelligence in the United States is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the typical responsibilities for someone starting in a no experience artificial intelligence role?

In a no-experience artificial intelligence role, you can expect to assist with data collection and preparation, support existing AI projects, and complete training assignments designed to build your technical skills. You may help test algorithms, document project results, or contribute to basic coding under supervision. Collaborating with more experienced team members will be a key part of your role, offering opportunities to learn on the job and gradually take on more complex tasks as your skills grow. Over time, as you gain confidence and knowledge, you could advance to roles with greater independence and responsibilities within the AI field.

What are the key skills and qualifications needed to thrive in a no experience artificial intelligence position?

To thrive in an entry-level Artificial Intelligence (AI) position with no experience required, a foundational understanding of computer science concepts, basic programming skills (often in Python), and a willingness to learn are important. Familiarity with beginner-friendly AI tools, online certifications like Coursera or edX AI courses, and integrated development environments (IDEs) can provide a helpful starting point. Curiosity, problem-solving abilities, and strong communication skills will set candidates apart, especially when working with teams or learning from mentors. These skills and qualities are vital for adapting quickly to the evolving AI field and for effectively participating in collaborative projects.

What is a no experience artificial intelligence job?

A No Experience Artificial Intelligence job is an entry-level role in the AI field that does not require prior professional experience. These positions often include internships, trainee roles, or junior AI-related jobs where candidates can learn on the job. Employers may look for foundational knowledge in machine learning, programming (Python, TensorFlow, etc.), and data analysis. Many of these roles focus on assisting senior AI professionals, working with datasets, or testing AI models. Building personal projects, taking online courses, and participating in AI competitions can improve your chances of landing such a job.

More about No Experience Artificial Intelligence jobs
What cities are hiring for No Experience Artificial Intelligence jobs? Cities with the most No Experience Artificial Intelligence job openings:
What are the most commonly searched types of Artificial Intelligence jobs? The most popular types of Artificial Intelligence jobs are:
What states have the most No Experience Artificial Intelligence jobs? States with the most job openings for No Experience Artificial Intelligence jobs include:
What job categories do people searching No Experience Artificial Intelligence jobs look for? The top searched job categories for No Experience Artificial Intelligence jobs are:
No Experience Artificial Intelligence jobs near you
Infographic showing various No Experience Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 5% Internship, 37% Full Time, 37% Part Time, and 21% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Artificial Intelligence

BridgeNexus Technologies Inc

Los Angeles, CA โ€ข On-site

Other

Posted 4 days ago

Job description

Hi, WE have below 2 positions with our direct client and both are hybrid position and kindly reply asap at your interest so I reach you immediately to schedule one round interview with client .
 
JOB 1:  AI Analyst with Healthcare Background
Location: Woodland Hills. CA (Commute three times in a week to Woodland Hills office)
Duration: Long term
Client: Direct client
JOB 2: AI ML Developer with Data Science experience
Location: Woodland Hills. CA (Commute three times in a week to Woodland Hills office)
Duration: Long term
Client: Direct client 
 
 
 
 
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Role
Job Description
1
AI Analyst with Healthcare Background
seeking an experienced Artificial Intelligence & Machine Learning (AI/ML) Systems Analyst to bridge the gap between business stakeholders, data scientists, AI/ML engineers, and technology teams. This role will be responsible for analyzing business problems, defining AI/ML solution requirements, evaluating data readiness, supporting model implementation, and ensuring AI solutions align with business objectives, regulatory requirements, and enterprise governance standards. The ideal candidate will possess strong analytical skills, healthcare domain knowledge, and experience working with AI, machine learning, and Generative AI technologies.
Key Responsibilities
Business & Systems Analysis
  • Collaborate with business stakeholders to identify opportunities for AI/ML-driven process improvements and automation.
  • Elicit, analyze, and document business, functional, and non-functional requirements.
  • Create user stories, process flows, use cases, data mappings, and acceptance criteria.
  • Translate business requirements into AI/ML solution specifications.
  • Support backlog grooming, sprint planning, and Agile delivery processes.
AI/ML Solution Analysis
  • Partner with AI/ML engineers and data scientists to define model objectives and success metrics.
  • Analyze data sources and determine data quality, completeness, and readiness for AI initiatives.
  • Support predictive analytics, recommendation systems, NLP, GenAI, and intelligent automation initiatives.
  • Evaluate AI model outputs and assist with validation, testing, explainability, and business adoption.
Data & Analytics

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