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Entry Level Ai Tester Jobs (NOW HIRING)

Aerotek

Electrical Tester

Washington, MO · On-site

$27 - $30/hr

Some electrical knowledge or quality experience is a Plus Experience Level Entry Level Job Type ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.

BRM LLC

Entry Level Software Engineer

San Francisco, CA · On-site +1

... AI technologies * Learn and apply best practices in code quality, testing, and documentation while contributing to production features * Participate in code reviews, technical discussions, and ...

Strike

AI Analyst I

Spring, TX · On-site

This entry-level role is ideal for candidates with a strong analytical foundation who are eager to ... Support development and testing of machine learning models and AI solutions. * Help monitor model ...

Strike

AI Analyst I

Spring, TX · On-site

This entry-level role is ideal for candidates with a strong analytical foundation who are eager to ... Support development and testing of machine learning models and AI solutions. * Help monitor model ...

Universal Avionics

AI-ML Engineer 1

Tucson, AZ · On-site +1

$110K - $132K/yr

This entry-level position plays a critical role in supporting the design, development, and ... Execute performance testing to assess the efficiency of AI systems when handling large datasets and ...

Commure

AI Agents Operations Associate

Mountain View, CA · On-site

$20 - $25/hr

... entry-level role. You'll be working at the intersection of: * AI systems * Healthcare operations * Real-world deployment If you're excited about building, testing, and scaling AI in production ...

Universal Avionics

AI-ML Engineer 1

Tucson, AZ · On-site

$98K - $118K/yr

This entry-level position plays a critical role in supporting the design, development, and ... Execute performance testing to assess the efficiency of AI systems when handling large datasets and ...

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Entry Level Ai Tester information

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$10

$38

$62

How much do entry level ai tester jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for entry level ai tester in the United States is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $50.72 per hour, depending on experience, location, and employer.

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

To thrive as an Entry Level AI Tester, you typically need a basic understanding of software testing principles, familiarity with AI concepts, and a degree in computer science or a related field. Experience with testing tools like Selenium, JIRA, or test automation frameworks, as well as knowledge of scripting languages such as Python, is often required. Attention to detail, analytical thinking, and effective communication are essential soft skills for identifying issues and collaborating with development teams. These skills and qualifications ensure accurate testing, effective bug reporting, and the reliable performance of AI systems.

What does an Entry Level AI Tester do?

An Entry Level AI Tester is responsible for evaluating and testing artificial intelligence systems to ensure they function as intended. This typically involves creating test cases, running software through various scenarios, identifying bugs or inconsistencies, and reporting findings to developers. The role may also include documenting test results and helping improve the performance and accuracy of AI models. Entry-level testers work closely with software engineers and data scientists to ensure quality and reliability. No advanced experience is typically required, making it a good starting point for those interested in AI and software testing.

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

AspectEntry Level Ai TesterData Analyst
Required SkillsBasic understanding of AI, testing tools, programming (Python, SQL)Data analysis, statistical skills, data visualization
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
CertificationsEntry-level AI or testing certificationsData analysis certifications (e.g., Microsoft, Google)

Entry Level Ai Testers focus on testing AI models for accuracy and performance, while Data Analysts interpret data to inform business decisions. Both roles require analytical skills but differ in tools and industry focus. Entry Level Ai Testers are more involved in AI-specific testing processes, whereas Data Analysts work across various data sets to generate insights.

What does a typical day look like for an Entry Level AI Tester, and how do they interact with other teams?

As an Entry Level AI Tester, your daily tasks often involve running test cases, documenting results, and reporting bugs related to AI models or features. You'll collaborate closely with developers to clarify issues and ensure accurate fixes, while also working with product managers to understand user requirements. Regular team meetings and cross-functional communication are common, as feedback loops are essential in AI development. This role offers a supportive environment for learning, with mentorship from senior testers and exposure to cutting-edge AI technologies.
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Entry Level Ai Tester jobs near you
Infographic showing various Entry Level Ai Tester job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 3% Full Time, 81% Part Time, and 13% Contract. Highlights an 53% Physical, 1% Hybrid, and 46% Remote job distribution, with an average salary of $79,791 per year, or $38.4 per hour.
Associate AI Solutions Developer

Associate AI Solutions Developer

Bridgehead IT, LLC

San Antonio, TX

Other

Posted 14 days ago

Job description

Description

The Associate AI Solutions Developer / Analyst supports the design, development, and implementation of AI-enabled software, automation, and business solutions. This hybrid role combines technical development, business analysis, and AI tool configuration, working closely with senior developers and analysts to translate business needs into practical, secure, and scalable solutions.

The role is designed for an early-career professional with strong technical fundamentals, analytical aptitude, and a demonstrated interest in artificial intelligence and emerging technologies. The Associate will contribute across the solution lifecycle-from requirements gathering and prototyping through testing, deployment, and refinement-while receiving structured training and mentorship. This position offers a defined growth path with increasing responsibility and project ownership, with the expectation of progression to a mid-level role within 12-24 months.


Training & Growth

We invest in your success with structured onboarding, personalized mentorship, an individual development plan, and continuous learning opportunities (courses, certifications, AI webinars). Your entering a rapidly growing space that will require a commitment to continuous learning and improvement to with a goal to advance to mid-level role in 12-24 months. 

Requirements

Key Responsibilities:

  • Contribute to developing AI-enhanced software and automation solutions, including GPT-powered features, Copilot Studio agents, custom developed AI solutions built on Azure such as Document intelligence. 
  • Perform business and data analysis: map workflows, document processes, gather requirements, and translate them into technical specifications. 
  • Configure and prototype conversational AI tools, test prompts, refine intents, grounding, and guardrails. 
  • Support systems integration with enterprise tools (CRMs, SharePoint, data warehouses, Microsoft 365) using APIs, connectors, and secure methods. 
  • Participate in quality assurance, testing, debugging, and AI-specific checks (prompt resilience, content moderation). 
  • Create technical documentation, user guides, and contribute to internal knowledge bases. 
  • Help enforce AI governance policies and verify output accuracy. 
  • Collaborate with developers, analysts, and stakeholders in meetings and (as you grow) client discussions. 

Qualifications:

  • Associate's degree in computer science, Information Systems, Engineering, or related field (relevant experience or bootcamp certification may substitute). 
  • Proficiency in at least one programming language (JavaScript, PHP, C#, Java, etc.) and familiarity with web development or SQL. 
  • Strong analytical and problem-solving skills, with comfort using spreadsheets and basic-to-intermediate SQL. 
  • Excellent written and verbal communication skills; ability to explain technical concepts clearly. 
  • Quick learner with genuine interest in AI/ML and its business applications. 
  • Collaborative team player open to feedback and code reviews. 

Preferred Qualifications:

  • Internship or academic projects in software development, data analysis, or AI. 
  • Exposure to Microsoft Azure, Power Platform (especially Copilot Studio), or AI APIs. 
  • Familiarity with data integration concepts or tools. 
  • Entry-level certifications (e.g., AZ-900, PL-900). 

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