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Remote Ai Tester Jobs (NOW HIRING)

SAIC

QA Automation Tester

Reston, VA · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_HYBRID Description The AI Agentic Program seeks a senior automation tester with strong experience testing Agile software teams delivering cloud-native ...

System One

AI QA Analyst - 100% REMOTE

Washington, DC · Remote

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C ... Drive continuous improvements to validation methodologies, testing strategies, and evaluation ...

System One

AI QA Analyst - 100% REMOTE

Washington, DC · Remote

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C ... Drive continuous improvements to validation methodologies, testing strategies, and evaluation ...

System One

AI QA ANALYST - 100% REMOTE

San Diego, CA · Remote

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C ... Drive continuous improvements to validation methodologies, testing strategies, and evaluation ...

System One

AI QA Analyst - 100% REMOTE

Washington, DC · Remote

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C ... Drive continuous improvements to validation methodologies, testing strategies, and evaluation ...

Grafana Labs

Senior AI Engineer | US | Remote

$107K - $146K/yr

We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by ... testing, deployment, and ongoing operation * Build modular, composable agentic systems using ...

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

... our AI applications team. This is a fully remote position for candidates in the continental U.S ... testing, and delivery.Core Skills: You should have mastery in object-oriented design and ...

Horizon3.ai

Staff Attack Engineer, AI/LLM

Get to Know Us Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of ... Solid penetration testing fundamentals and understanding of common attack chains. * Familiarity ...

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How much do remote ai tester jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote ai tester in the United States is $47.54, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $56.01 per hour, depending on experience, location, and employer.

How do I become a remote AI tester?

To become a remote AI tester, you should have a strong understanding of AI and machine learning concepts, along with skills in programming, data analysis, and testing tools. Gaining experience through online courses, certifications, or internships can improve your prospects, and familiarity with platforms like Python, TensorFlow, or similar is often beneficial. Strong communication skills and the ability to work independently are also important for remote roles.

What are the key skills and qualifications needed to thrive as a remote AI tester, and why are they important?

To thrive as a Remote AI Tester, you need a strong understanding of software testing principles, programming basics (such as Python), and familiarity with AI/ML concepts, often supported by a degree in computer science or related field. Experience with testing frameworks, version control systems like Git, and bug tracking tools such as Jira is typically required. Attention to detail, analytical thinking, and effective remote communication are essential soft skills for this role. These skills ensure accurate evaluation of AI systems, reliable test coverage, and seamless collaboration with distributed teams.

What is the difference between Remote Ai Tester vs Remote Data Annotator?

AspectRemote Ai TesterRemote Data Annotator
Required CredentialsBasic understanding of AI/ML concepts, sometimes certifications in testing or QAAttention to detail, training in annotation tools, no formal certifications required
Work EnvironmentRemote, often collaborative with AI development teamsRemote, focused on data labeling and annotation tasks
Industry UsageAI development, machine learning projectsData preparation for AI models, machine learning datasets
Common Search/ComparisonYesYes

Remote Ai Testers and Remote Data Annotators both work remotely in AI-related fields. While Ai Testers focus on evaluating AI models' performance and accuracy, Data Annotators prepare and label data for training AI systems. Both roles require attention to detail and familiarity with AI workflows, but Ai Testers often need a basic understanding of AI concepts, whereas Data Annotators primarily focus on data labeling tasks.

What is a remote AI tester?

Remote AI Testers are professionals who evaluate and validate artificial intelligence systems, algorithms, or applications from a remote location. Their primary role is to ensure that AI models work as intended by testing for accuracy, reliability, and potential biases. They may create test cases, report bugs, and provide feedback to development teams to help improve AI products. This job often requires technical knowledge of AI, attention to detail, and strong communication skills. Working remotely allows AI testers to collaborate with teams globally and test software in various real-world environments.

What are some common challenges faced by remote AI testers, and how can they be addressed?

Remote AI Testers often encounter challenges such as limited direct communication with development teams and difficulties in understanding complex AI models without in-person support. To address these, it’s important to proactively schedule regular virtual meetings, document testing procedures thoroughly, and leverage collaboration tools to share findings efficiently. Staying updated with the latest testing frameworks and maintaining a strong self-management routine can also help ensure productivity and quality while working remotely.
More about Remote Ai Tester jobs
What cities are hiring for Remote Ai Tester jobs? Cities with the most Remote Ai Tester job openings:
What are the most commonly searched types of Ai Tester jobs? The most popular types of Ai Tester jobs are:
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Remote Ai Tester jobs near you
Infographic showing various Remote Ai Tester job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $98,889 per year, or $47.5 per hour.

QA Automation Tester

SAIC

Reston, VA • On-site, Remote

$120K - $160K/yr

Full-time

Re-posted 24 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 223 rated it services

Job description

Job ID: 2613846

Location: Reston, VA, US

Date Posted: 2026-06-18

Category: Engineering and Sciences

Subcategory: Test Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_HYBRID


Description

The AI Agentic Program seeks a senior automation tester with strong experience testing Agile software teams delivering cloud-native, intelligence-driven, and autonomous multi-agent systems. The individual should have deep knowledge of Agile practices and experience coordinating distributed engineering, data, and DevSecOps teams. This position requires one day onsite in Reston, VA. and lasts through September 2026.

Responsibilities:

  • Work with developers to integrate AI-driven test coverage into development pipelines
  • Participate in Agile ceremonies including sprint planning, daily stand-ups, reviews, and retrospectives
  • Design, develop, and execute comprehensive test plans, test cases, and test scripts incorporating AI-powered testing strategies
  • Perform functional, regression, integration, and ad-hoc testing
  • Conduct API testing (REST & SOAP) using appropriate tools
  • Execute automation testing and maintain automation frameworks
  • Perform performance and load testing
  • Collaborate with developers, product owners, and stakeholders to understand requirements and ensure test coverage
  • Support CI/CD pipelines and integrate automated tests into build processes
  • Ensure application compatibility across Windows environments
  • Drive best practices in test automation, code quality, and reusability
  • Identify and drive implementation of best practices in automation testing, including AI-based techniques for defect detection, predictive test case generation, and maintenance of reusable test assets.
  • Stay up to date on emerging trends in AI technologies and their application in quality assurance. 

Qualifications

Required Qualifications:

  • Bachelors degree and 8+ years of experience in QA automation testing, including both manual and automation.
  • Strong hands-on test automation experience using Selenium and Playwright.
  • Hands-on experience with integrating AI-based test automation libraries and frameworks into custom automation framework with a focus on developing intelligent test generation mechanisms and adaptive test strategies.
  • Familiarity with AI-powered testing tools or platforms (e.g., BlinqIO, TestMu).
  • Understanding of AI based agentic frameworks for adaptive test strategies.
  • Solid experience in API testing (REST & SOAP).
  • Proficiency in SQL.
  • Strong knowledge of JSON and XML.
  • Hands-on experience with performance testing tools (JMeter.
  • Proficiency in Python and scripting language such as PowerShell / Bash.
  • Experience with Git version control systems.  
  • Strong analytical, debugging, and problem-solving skills.
  • Excellent communication and stakeholder management skills.
  • Must be a US Citizen.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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