2

Remote Ai Tester Jobs (NOW HIRING)

AI Agentic Tester Denver, MO (Remote) Must-Have Skills AI Agentic Testing Functional Testing Generative AI Testing Large Language Models (LLMs) AI Agents & Agentic AI Retrieval-Augmented Generation ...

AI Agentic Tester Denver, MO (Remote) Must-Have Skills * AI Agentic Testing * Functional Testing * Generative AI Testing * Large Language Models (LLMs) * AI Agents & Agentic AI * Retrieval-Augmented ...

AI Assurance Engineer

Washington, DC · Remote

$141K - $236K/yr

Support AI testing, evaluation, verification, and validation (TEVV) activities for operational AI ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Remote Role Responsibilities * Red team conversational AI models and agents to identify jailbreaks ... Apply structure by following taxonomies, benchmarks, and playbooks to ensure consistent testing.

Remote Role Responsibilities * Red team conversational AI models and agents to identify jailbreaks ... Apply structure by following taxonomies, benchmarks, and playbooks to ensure consistent testing.

Remote Role Responsibilities * Red team conversational AI models and agents by performing ... Apply structure by following taxonomies, benchmarks, and playbooks to maintain consistent testing.

Penetration Tester

Plano, TX · Remote

$60 - $70/hr

We are seeking a highly skilled Penetration Tester with a strong focus on AI-enabled security ... This is a remote, 6+ month contract-to-hire position. COMP : Up to $70/HR depending on candidate ...

AI Engineer - Remote Apply now Job no: 504788 Work type: Full Time Regular Location: Nebraska ... and A/B testing to empiricallyoptimizemodel performance. Implement AIOps best practices to ...

Penetration Tester

Herndon, VA · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0236401 Location: Herndon,VA,US Share job via: Share Penetration ... Knowledge of tools, tactics, and techniques targeting Artificial Intelligence (AI) systems and ...

Senior AI Engineer - Remote

Dallas, TX · Remote

$105K - $147K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Dallas, Texas (US-TX), ... Everything including setup, permissions, version control, development, testing, and deployment are ...

Remote We are looking for an experienced AI Safety & Red Teaming Specialist to help evaluate and ... Develop cross-domain adversarial testing strategies to uncover complex, multi-turn attack patterns ...

next page

Showing results 1-20

Remote Ai Tester information

See salary details

$11

$47

$69

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:
What states have the most Remote Ai Tester jobs? States with the most job openings for Remote Ai Tester jobs include:
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.

AI Agentic Tester (Remote)

Delan Associates, Inc

Denver, MO • Remote

Full-time

Posted 5 days ago


Job description

AI Agentic Tester

Denver, MO (Remote)


Must-Have Skills

* AI Agentic Testing

* Functional Testing

* Generative AI Testing

* Large Language Models (LLMs)

* AI Agents & Agentic AI

* Retrieval-Augmented Generation (RAG)

* Prompt Engineering Validation

* AI Model Validation & Evaluation

* API Testing (Postman, REST APIs, Swagger)

* Python

* Test Automation (Selenium / Playwright / PyTest)

* AI Evaluation Metrics (Accuracy, Hallucination, Relevance, Consistency)

* End-to-End Workflow Testing

* Multi-Agent Testing

* Azure OpenAI / AWS Bedrock / Gemini

Core Responsibilities

* Perform functional testing of AI agent workflows and end-to-end AI applications.

* Validate LLM responses for accuracy, relevance, consistency, and hallucination rates.

* Test RAG pipelines, prompt engineering, and AI agent orchestration.

* Execute API testing using Postman, Swagger, and REST APIs.

* Develop and maintain automation scripts using Python, Selenium, Playwright, or PyTest.

* Validate multi-agent interactions, tool calling, and workflow execution.

* Apply AI testing methodologies and evaluation metrics to ensure response quality.

* Work with Azure OpenAI, AWS Bedrock, Gemini, or similar AI platforms to validate AI solutions.