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Entry Level Ai Developer Jobs (NOW HIRING)

As an Entry Level Software Developer, you'll work with cross functional teams to design, build ... You'll gain hands-on experience with modern development practices and AI-enabled workflows while ...

AI Product Specialist

New York, NY · On-site

$50K - $60K/yr

... entry-level AI Product Specialist to join our Product organization. This role is about people and adoption first. You'll help teams across the whole company, not just Product and Engineering ...

AI Product Specialist

New York, NY · On-site

$50K - $60K/yr

... entry-level AI Product Specialist to join our Product organization. This role is about people and adoption first. You'll help teams across the whole company, not just Product and Engineering ...

... entry-level AI Product Specialist to join our Product organization. This role is about people and adoption first. You'll help teams across the whole company, not just Product and Engineering ...

Showing results 21-40

Entry Level Ai Developer information

See salary details

$29.5K

$100.3K

$241.5K

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

As of Sep 14, 2026, the average yearly pay for entry level ai developer in the United States is $100,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $106,000.00 per year, depending on experience, location, and employer.

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 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 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 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.

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Infographic showing various Entry Level Ai Developer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $100,265 per year, or $48.2 per hour.

Entry-Level AI Solutions Builder - On-Site

Farmingdale, NY • On-site

Talon Air
Aviation • 201 - 500 employees

$65K - $80K/yr

Full-time

Re-posted 28 days ago


Job description

Build Real Business Tools Using AITalon Air is looking for someone who loves building things with AI.You don't need years of software engineering experience or a computer science degree. If you've built projects using ChatGPT, Codex, Cursor, GitHub Copilot, Claude, Replit, Bolt, Lovable, or similar AI tools, we want to hear from you.This role is perfect for someone who enjoys figuring out problems, writing effective prompts, and turning ideas into working applications.You'll work directly with company leadership to build internal tools that make our business run more efficiently.What You'll DoYou'll use AI-powered development tools to create software that employees use every day, including:Internal web applicationsDashboards and reporting toolsWorkflow automationsBusiness process improvementsForms and portalsAI-powered assistantsScripts and integrationsInternal databases and utilitiesYou'll spend most of your time using modern AI development tools to build solutions-not writing thousands of lines of code from scratch.What We're Looking ForWe're looking for curious builders who like solving problems.You should have:Experience using AI tools to build projectsStrong prompting skillsBasic programming knowledge (Python, JavaScript, TypeScript, or similar)Ability to learn new software quicklyGood communication skillsInterest in improving business operations through technologyYou do not need to be an expert software engineer.Great Candidates Might HaveBuilt personal AI projectsCreated automations for school, work, or personal useUsed Cursor, Codex, ChatGPT, GitHub Copilot, Claude, Bolt, Lovable, Replit, or similar toolsWorked with APIsBuilt simple web appsUsed Google Sheets or Excel automationConnected different software togetherLearned through online courses or personal projectsBonus SkillsExperience with any of these is helpful but not required:PythonJavaScriptTypeScriptSQLAPIsReactDashboardsLow-code/no-code platformsWorkflow automationGitWhat Success Looks LikeIn this role you'll:Turn ideas into working tools quicklyUse AI to accelerate developmentImprove internal business processesLearn new technologies as AI evolvesBuild software employees actually enjoy usingWhy Join Talon Air?Technology is becoming a core part of how we operate.You'll work directly with leadership to build proprietary software that improves how our company functions. Rather than maintaining existing products, you'll have the opportunity to create new tools, automate processes, and explore practical applications of AI that have a real impact on the business.If you're someone who enjoys experimenting with AI, building useful applications, and learning new technologies, this role offers the chance to turn those skills into a career.We encourage you to apply even if you don't meet every qualification.If you've built interesting projects with AI, enjoy solving problems, and can show us what you've created, we'd love to hear from you.Please include links to GitHub repositories, personal projects, demos, or anything you've built using AI.