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Junior Ai Jobs (NOW HIRING)

Junior AI Engineer Location: Phoenix, AZ Job Type: Only W2 · Develop and deploy AI/ML models for business applications. · Build Generative AI and LLM-based applications using models such as GPT ...

They are seeking a Junior AI Engineer to build and ship features across the stack, collaborate with senior engineers, and work directly with clients to deliver impactful AI-powered systems.

Position Overview The Junior AI Engineer is an early-career builder who develops and ships AI solutions under the direction of the Director of AI Engineering. This role contributes to MCP connectors ...

Position Overview The Junior AI Engineer is an early-career builder who develops and ships AI solutions under the direction of the Director of AI Engineering. This role contributes to MCP connectors ...

Position Overview The Junior AI Engineer is an early-career builder who develops and ships AI solutions under the direction of the Director of AI Engineering. This role contributes to MCP connectors ...

The Junior AI Engineer will build and ship features across the stack, collaborate with senior engineers, and work directly with clients to deliver impactful solutions. Responsibilities : • Build ...

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking ...

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking ...

We are seeking a Junior Developer who treats AI tools as a core part of their workflow - not an afterthought. In this role, you'll build and ship software alongside an experienced team, work directly ...

Jr. AI Engineer

Pleasanton, CA · On-site

$110K - $140K/yr

We are seeking a motivated Jr. AI Engineer to join our growing AI team. The ideal candidate is eager to learn, has a strong foundation in generative AI, machine learning, data science, and software ...

Junior AI Engineer

Lawrence, NY · On-site

$85K - $110K/yr

Junior engineers who join now won't just execute tasks - they'll learn by doing, work directly alongside senior engineers and AI strategists, and grow fast in an environment that rewards curiosity ...

Junior AI Engineer

Lawrence, NY · On-site

$85K - $110K/yr

Junior engineers who join now won't just execute tasks - they'll learn by doing, work directly alongside senior engineers and AI strategists, and grow fast in an environment that rewards curiosity ...

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking ...

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking ...

Jr. AI Engineer

Pleasanton, CA · On-site

$110K - $140K/yr

We are seeking a motivated Jr. AI Engineer to join our growing AI team. The ideal candidate is eager to learn, has a strong foundation in generative AI, machine learning, data science, and software ...

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How much do junior ai jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for junior ai in the United States is $26.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.17 per hour, depending on experience, location, and employer.

What does a junior AI do?

A Junior AI, or Junior Artificial Intelligence specialist, typically assists in developing and testing AI models and algorithms under the supervision of more experienced engineers or scientists. Their responsibilities may include data preprocessing, running experiments, debugging code, and supporting the implementation of machine learning solutions. They often collaborate with team members on projects and learn industry-standard tools and practices to grow their skills in AI and machine learning.

What skills and qualifications are needed to thrive as a junior AI?

To thrive as a Junior AI Engineer, you need a solid background in computer science, programming (especially Python), and a basic understanding of machine learning algorithms, often supported by a relevant degree or coursework. Familiarity with frameworks like TensorFlow or PyTorch, version control systems such as Git, and cloud platforms is commonly expected. Strong analytical thinking, problem-solving skills, and the ability to collaborate effectively with cross-functional teams make candidates stand out. These skills ensure you can contribute to AI projects, learn quickly, and adapt to evolving technologies in a dynamic field.

How does a junior AI typically collaborate with senior team members and other departments?

As a Junior AI professional, you'll often work closely with senior data scientists, machine learning engineers, and project managers. Your main responsibilities may include supporting model development, running experiments, and analyzing data under the guidance of more experienced colleagues. Collaboration with product teams and software developers is common, especially when integrating AI models into applications or troubleshooting issues. This team-oriented environment provides valuable learning opportunities and helps you build a strong foundation for future advancement.

What is the difference between Junior Ai vs Data Analyst?

AspectJunior AiData Analyst
Required CredentialsDegree in Computer Science, AI, or related field; basic knowledge of programming and machine learningDegree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and other industries
Employer & Industry UsageUsed in AI development teams, machine learning projectsUsed in data-driven decision making across various sectors
Common Search & ComparisonOften compared for entry-level roles in AICompared for roles involving data interpretation and reporting

Junior Ai and Data Analyst roles share some foundational skills like data handling and analytical thinking. However, Junior Ai focuses more on machine learning, programming, and AI model development, while Data Analysts primarily interpret data to inform business decisions. Both roles are entry-level but serve different functions within organizations.

How do I get a job in junior AI with no experience?

To get a junior AI position with no experience, focus on building foundational skills in programming languages like Python, understanding basic machine learning concepts, and completing online courses or certifications. Gaining practical experience through personal projects, internships, or contributing to open-source AI initiatives can also improve your chances. Demonstrating a strong interest in AI and a willingness to learn is essential for entry-level roles.

What is the easiest junior AI job to get into?

A common entry-level junior AI role is a data analyst or AI intern, which often requires basic programming skills in Python or R and understanding of data manipulation. These positions typically focus on supporting AI projects and may require minimal prior experience, making them accessible for beginners with foundational knowledge in machine learning concepts and data handling. Certifications in data analysis or introductory AI courses can also improve chances of entry.
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Infographic showing various Junior Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.

Junior AI Engineer

Synergie Systems

Phoenix, AZ • On-site

Other

Posted 5 days ago


Job description

Job Title: Junior AI Engineer

Location: Phoenix, AZ

Job Type: Only W2

Job Description:

·       Develop and deploy AI/ML models for business applications.

·       Build Generative AI and LLM-based applications using models such as GPT, Claude, Gemini, or open-source LLMs.

·       Develop RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.

·       Design AI agents, intelligent automation, and AI-powered workflows.

·       Prepare, clean, transform, and analyze datasets for model development.

·       Develop APIs and backend services for AI applications.

·       Fine-tune, evaluate, and optimize machine-learning/LLM models when appropriate.

·       Implement model monitoring, evaluation, security, and performance optimization.

·       Deploy AI applications using AWS, Azure, or Google Cloud.

·       Use Docker, Kubernetes, CI/CD, and MLOps practices for production deployment.

·       Collaborate with software engineers, data scientists, product managers, and business stakeholders.

·       Troubleshoot model, application, data, and production issues.

Technical Skills:

·       Python — strong proficiency

·       Machine Learning and Deep Learning

·       Generative AI / LLMs

·       Prompt engineering and LLM evaluation

·       RAG and vector databases

·       REST APIs / FastAPI

·       SQL and database fundamentals

·       Git/GitHub

·       Linux

·       Docker

·       Cloud platforms: AWS / Azure / Google Cloud Platform

·       Familiarity with PyTorch or TensorFlow

·       Understanding of NLP and/or computer vision

·       Basic MLOps and CI/CD concepts