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Entry Level Ai Tester Jobs in Virginia (NOW HIRING)

SZNS Solutions LLC

Software Engineer

Reston, VA · On-site

We specialize in delivering agentic AI and cloud computing solutions. Founded by ex-Googlers with ... Ensure the quality of code through testing, peer reviews, and maintaining clear documentation.

SZNS Solutions LLC

Software Engineer

Reston, VA · On-site

We specialize in delivering agentic AI and cloud computing solutions. Founded by ex-Googlers with ... Ensure the quality of code through testing, peer reviews, and maintaining clear documentation.

Expression

Junior Test Engineer (DEA)

Arlington, VA · On-site

... entry-level certification. * Exposure to automated testing tools for Pega applications, such as ... AI/ML, software engineering, information technology, and electromagnetic spectrum management ...

Expression

Junior Test Engineer (DEA)

Arlington, VA · Hybrid

... entry-level certification. * Exposure to automated testing tools for Pega applications, such as ... AI/ML, software engineering, information technology, and electromagnetic spectrum management ...

Clearpath

Accounting and Automation Analyst

Arlington, VA · On-site

$75 - $110/hr

... testing and adopting new tools or system enhancements What You Will Bring * Genuine interest in AI ... entry-level roles count) * Foundational understanding of accounting principles and the general ...

New

Amazon

Associate Account Executive

Arlington, VA · On-site

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... how AI transforms B2B sales, continuously testing and iterating on new approaches to reach ...

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Entry Level Ai Tester information

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 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.

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 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 are the most commonly searched types of Ai Tester jobs in Virginia?

The most popular types of Ai Tester jobs in Virginia are:

What are popular job titles related to Entry Level Ai Tester jobs in Virginia?

For Entry Level Ai Tester jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Tester jobs in Virginia look for?

The top searched job categories for Entry Level Ai Tester jobs in Virginia are:

Entry Level Ai Tester jobs near you
Infographic showing various Entry Level Ai Tester job openings in Virginia as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution.

Software Engineer

SZNS Solutions LLC

Reston, VA • On-site

Full-time

Re-posted 10 days ago

Job description

"SZNS Solutions (pronounced "seasons") is a technology consulting company and Google Cloud Partner based in Reston VA. We specialize in delivering agentic AI and cloud computing solutions. Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application development."
We are looking for an Entry-Level Software Engineer to join our growing team! As a member of our dynamic and fast-paced environment, you'll have the opportunity to contribute to exciting projects in cloud computing, web3, and decentralized technologies. You will work alongside talented engineers, learning from experienced professionals while helping to build innovative solutions for our clients and internal initiatives.
Responsibilities
  • End-to-End Development: Design, develop, and deploy full-stack solutions for web-based, decentralized, and cloud-native platforms.
  • Frontend Excellence: Build intuitive and responsive user interfaces using modern JavaScript frameworks like React, Vue, or NextJS.
  • Backend Development: Implement server-side logic using Node.js, Python, or a similar backend framework.
  • Database Management: Design and manage relational (e.g., PostgreSQL, MySQL) and/or NoSQL (e.g., MongoDB) databases.
  • Cloud Development: Design and deploy infrastructure on cloud services, mainly Google Cloud Platform.
  • API Integration: Develop and consume RESTful or GraphQL APIs to connect different components of the ecosystem.
  • Decentralized Technologies: Work with blockchain and smart contract technologies to create Web3 solutions.
  • Collaboration: Work closely with designers, project managers, and other engineers to meet project goals.
  • Code Quality: Ensure the quality of code through testing, peer reviews, and maintaining clear documentation.

Requirements
  • Experience: 1+ years of professional experience in full-stack development, or a recently earned degree in Computer Science, Engineering, or a related field.
  • Frontend Expertise: Familiarity with JavaScript and modern frameworks (React, Vue, NextJS, etc.).
  • Backend Proficiency: Exposure to backend languages like Node.js, Python, Java, or Go.
  • Database Skills: Understanding of relational and/or NoSQL databases.
  • Cloud Platform Knowledge: Basic understanding of cloud technology, preferably the GCP ecosystem.
  • Problem Solver: Strong analytical and problem-solving skills with a focus on delivering scalable solutions.
  • Team Player: Excellent communication skills and the ability to collaborate in a team-oriented environment.
  • GCP Certification: GCP certified or willing to complete at least 1 certification within 1 month after joining.
  • Engineering Excellence: Willingness to grow and continue learning.

Preferred Qualifications
  • Familiarity with decentralized technologies and blockchain concepts.
  • Experience with version control tools like Git.
  • Internship or personal projects showcasing your development skills.

Benefits
  • Competitive salary and benefits package.
  • Hybrid work environment (MWF in-person in our Reston office).
  • A collaborative and innovative work environment.
  • Continuous learning and development opportunities.

Apply