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Entry Level Ai Tester Jobs (NOW HIRING)

... 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 ...

Contribute to AI-Powered Features: Write, test, and debug high-quality code for new features under ... Learn Prompt Engineering: Assist the team in designing, testing, and refining prompts to interact ...

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The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Implement testing strategies for AI behavior including prompt evaluation, regression testing ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Implement testing strategies for AI behavior including prompt evaluation, regression testing ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Implement testing strategies for AI behavior including prompt evaluation, regression testing ...

Entry-Level Software Developer

Irving, TX · On-site

$42K - $52K/yr

Troubleshoot, debug, test, and resolve software issues. * Assist in the testing and deployment of ... Willingness to learn and adapt to new technologies like AI. Preferred Qualifications: * Internship ...

As an Entry Level Software Developer, you'll be part of a highly collaborative team working ... AI-assisted development tools responsibly to accelerate coding, documentation, and testing ...

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Entry Level Ai Tester information

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

As of Jul 24, 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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What cities are hiring for Entry Level Ai Tester jobs? Cities with the most Entry Level Ai Tester job openings:
What are the most commonly searched types of Ai Tester jobs? The most popular types of Ai Tester jobs are:
What states have the most Entry Level Ai Tester jobs? States with the most job openings for Entry Level Ai Tester jobs include:
Infographic showing various Entry Level Ai Tester job openings in the United States as of July 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $79,791 per year, or $38.4 per hour.

Entry-Level AI & Preconstruction Technology Coordinator

Butler Recruitment Group

Cleveland, OH

$45K - $60K/yr

Full-time

Posted yesterday


Job description

That is a crucial clarification, and it completely changes the strategy. In the $45,000 to $60,000 salary range, you cannot hire a software engineer to code custom machine learning algorithms from scratch-and for most regional construction firms, you don't actually need one. At this price point, we are shifting the target from an AI Software Architect to an Entry-Level AI Implementer & Data Coordinator. You are looking for a tech-savvy recent graduate or junior analyst-a "power user" who will take existing, off-the-shelf AI software (like Togal.AI, Document Crunch, Bluebeam AI, and advanced ChatGPT/Claude prompting) and do the digital legwork to make your estimating operations 5x faster. Here is how the expectations change at this budget, followed by a completely rewritten job description designed to attract hungry, ambitious entry-level tech talent in Cleveland. How the Strategy Changes for $45k-$60k Attribute Previous Strategy ($115k+) New Strategy ($45k-$60k)

Candidate Profile Experienced Data Scientist / ML Engineer Recent College Grad, Junior IT, or Tech-Savvy Career Changer

Technical Focus Coding custom AI models & RAG pipelines from scratch Mastering off-the-shelf AI construction tools & advanced prompting

Data Role Architecting vector databases and cloud pipelines Organizing Excel sheets, cleaning historical bids, & manual data entry/export

Daily Value Building proprietary software Doing digital heavy-lifting so senior estimators can focus on pricing

Job Title: Entry-Level AI & Preconstruction Technology Coordinator Location: Cleveland, OH (100% On-Site) Department: Executive / Preconstruction Reports To: President & Owner Employment Type: Full-Time Compensation: $45,000 - $60,000 (commensurate with skills and aptitude) About the Role We are looking for an ambitious, tech-savvy AI & Preconstruction Technology Coordinator to help us modernize our commercial construction estimating operations. No prior construction experience is required. If you are fascinated by artificial intelligence, data organization, and new software tools, we will teach you the business of commercial construction from the ground up. Working 100% on-site at our Cleveland headquarters, you will report directly to the President & Owner. This is an exceptional launchpad for a junior professional who wants to bypass corporate bureaucracy and work hand-in-hand with executive leadership. You will act as our internal "tech pilot"-learning, testing, and running cutting-edge AI construction software to help our estimating team automate quantity takeoffs, analyze project specifications, and organize decades of historical cost data. What You Will Do 1. Operate AI Estimating Software

  • Automate Takeoffs: Learn and operate industry-leading AI takeoff software (such as Togal.AI, Bluebeam Revu, or Kreo) to rapidly generate initial 2D measurements and square footage counts from architectural blueprints.
  • Specification Analysis: Use large language model (LLM) tools and specialized software (like Document Crunch or ChatGPT Enterprise) to scan massive 500-page project specification books, searching for key terms, risks, insurance requirements, and unusual exclusions.
  • Software Champion: Act as the internal go-to expert for all preconstruction software, troubleshooting day-to-day issues and helping traditional estimators utilize new digital tools. 2. Data Cleanup & Organization
  • Build Cost Spreadsheets: Take historical project bids, subcontractor quotes, and paper notes, and input them into clean, standardized Excel spreadsheets or internal databases.
  • Track Local Pricing: Maintain a running digital ledger of Northeast Ohio regional material costs, labor rates, and subcontractor pricing trends to help the team bid more accurately.
  • File Management: Organize digital blueprint files, addenda, and RFIs (Requests for Information) within our project management software (Procore, Autodesk Construction Cloud, or network drives) so the estimating team has instant access to clean data. 3. Direct Support to the Owner & Estimating Team
  • Shadow Senior Estimators: Sit alongside veteran construction professionals to learn how buildings are priced, assembled, and won in the competitive Cleveland market.
  • Process Improvement: Continuously look for simple ways to save time using technology-whether that means writing an Excel macro, creating a better email template for subcontractor outreach, or automating a reporting workflow. What You Bring to the Team Required Qualifications
  • Education: Associate's or Bachelor's degree in Business Administration, Information Technology, Data Analytics, Construction Management, or general studies (or equivalent self-taught technical aptitude / bootcamp completion).
  • Experience: 0-2 years of professional ex