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Entry Level Ai Developer Jobs in Washington (NOW HIRING)

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us remain on the cutting edge. This role is suited to individuals who enjoy working on complex ...

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us remain on the cutting edge. This role is suited to individuals who enjoy working on complex ...

Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us remain on the cutting edge. This role is suited to individuals who enjoy working on complex problems ...

... entry-level position will offer you the opportunity to utilize and expand your civil engineering ... AI & Automation at Sargent & Lundy In this role, we expect people to be willing or able to solve ...

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

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Showing results 1-20

Entry Level Ai Developer information

See Washington salary details

$33.4K

$113.6K

$273.5K

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

As of Jul 13, 2026, the average yearly pay for entry level ai developer in Washington is $113,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $120,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level AI Developer, and why are they important?

To thrive as an Entry Level AI Developer, you need a solid grasp of programming languages like Python, foundational knowledge in mathematics and statistics, and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and cloud platforms is typically expected. Strong problem-solving skills, teamwork, and a willingness to learn are crucial soft skills for this role. These competencies enable you to contribute effectively to AI projects, adapt to evolving technologies, and collaborate well with multidisciplinary teams.

What types of projects and tasks can an Entry Level AI Developer expect to work on in their first year?

As an Entry Level AI Developer, you can expect to work on a variety of foundational tasks such as data preprocessing, implementing and testing machine learning models, and supporting senior developers with code maintenance. You may be involved in gathering and cleaning data, conducting exploratory data analysis, and assisting with model evaluation and performance tuning. Collaboration with data scientists, engineers, and product teams is common, as you’ll help integrate AI solutions into existing systems or applications. This hands-on experience is valuable for building technical skills and understanding the full AI development lifecycle.

What does an Entry Level AI Developer do?

An Entry Level AI Developer assists in designing, developing, and implementing artificial intelligence models and systems under the guidance of senior engineers. Their responsibilities often include data preprocessing, coding algorithms, testing AI solutions, and collaborating with cross-functional teams. They typically work with programming languages like Python, utilize machine learning libraries, and help improve model accuracy. This role provides foundational experience for building a career in AI and machine learning.

What is the difference between Entry Level Ai Developer vs Data Analyst?

AspectEntry Level Ai DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming languages like PythonBachelor's in Statistics, Math, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, AI startups, R&D departmentsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageDevelop AI models, machine learning algorithms, and automation toolsAnalyze data trends, generate reports, and support decision-making

While both roles require strong analytical skills and programming knowledge, Entry Level Ai Developers focus on creating AI models and algorithms, often in tech-driven environments. Data Analysts interpret data to inform business decisions, working across various industries. The roles overlap in data handling and technical skills but differ in their core objectives and tools used.

What are the most commonly searched types of Ai Developer jobs in Washington? The most popular types of Ai Developer jobs in Washington are:
What cities in Washington are hiring for Entry Level Ai Developer jobs? Cities in Washington with the most Entry Level Ai Developer job openings:
Infographic showing various Entry Level Ai Developer job openings in Washington as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $113,560 per year, or $54.6 per hour.
AI Specialist

$75K - $90K/yr

Full-time

Medical, Dental, Vision, Life

Posted 18 days ago


Job description

Role Overview

We are seeking an entry level AI Specialist to join our core AI team. The primary focus will be on analyzing AI models and architectures. You will also help evaluate model behaviors and conceptualize emerging AI technologies.

Key Responsibilities

  • Model Analysis & Evaluation: Study, benchmark, and evaluate diverse AI models (potentially including LLMs, diffusion models, and classic machine learning architectures) to understand their emergent behaviors, limitations, and failure modes.
  • Architectural Exploration: Research and experiment with novel model architectures, fine-tuning methodologies, and optimization techniques to improve model efficiency and alignment.
  • Theoretical Problem Solving: Apply core computer science and mathematical principles to diagnose complex model behaviors, data biases, and generalization challenges.
  • Cross-Functional Knowledge Sharing: Act as an internal subject matter expert on AI theory, translating complex academic research into actionable insights for product and engineering teams.

Qualifications & Skills

  • Education: Bachelor’s degree in computer science with a formal concentration, minor, or heavy coursework focus in Artificial Intelligence and/or Machine Learning
  • Theoretical Foundation: Deep conceptual understanding of core AI pillars, including deep learning, neural network architectures, and search algorithms.
  • Mathematical Proficiency: Strong grasp of linear algebra, calculus, probability, and statistics as they relate to machine learning theory and optimization.
  • Technical Skills: Proficiency in Python and familiarity with major AI/ML frameworks (such as PyTorch or TensorFlow). Experience reading and implementing concepts from academic AI research papers is a major plus.

Benefits Offered

  • Employees of RIAA are eligible for comprehensive healthcare benefits on date of hire or the first of the month following date of hire. These include medical, dental, and vision insurance coverage as well as life, and disability insurance.