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Full Time Ai Tester Jobs (NOW HIRING)

Photon

Lead AI Engineer | Onsite - Delaware

Wilmington, DE · On-site

$99K - $131K/yr

Define evaluation frameworks and real-time eval strategy; set standards for AI testing in CI/CD ... full-time employees. This position is not available for independent contractors No applications ...

Crusoe

Quality Tester

Tulsa, OK · On-site

The demand for AI compute is boundless, and power is a bottleneck. We're solving that -- with an ... This is a full-time position where your expertise will directly impact the reliability and safety ...

JND

[Entry Level] Software Tester (2608-2)

Plano, TX

$28 - $32/hr

Software Tester (AI Feature QA) * Job Type: Full-Time, Hourly * Bachelor's Degree in Computer Science or related field, but may be substituted by relevant work experience * 0-3 years of experience in ...

CGI Inc.

Quality Engineer (AI Testing)

Atlanta, GA · On-site

$69K - $89K/yr

J0826-2175 Employment Type: Full Time Position Description: We are seeking a Quality Engineer to support AI related testing efforts for our team. This is an exciting opportunity to join a well known ...

Booz Allen Hamilton, Inc.

Penetration Tester

Herndon, VA · On-site

$86K - $198K/yr

Knowledge of tools, tactics, and techniques targeting Artificial Intelligence (AI) systems and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Penetration Tester

Herndon, VA · On-site

$86K - $198K/yr

Knowledge of tools, tactics, and techniques targeting Artificial Intelligence (AI) systems and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Penetration Tester

Herndon, VA · On-site

$86K - $198K/yr

Knowledge of tools, tactics, and techniques targeting Artificial Intelligence (AI) systems and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Penetration Tester

Herndon, VA · On-site

$86K - $198K/yr

Knowledge of tools, tactics, and techniques targeting Artificial Intelligence (AI) systems and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

JND Inc.

[Entry Level] Software Tester (2608-2)

Plano, TX · On-site

$28 - $32/hr

Software Tester (AI Feature QA) * Job Type: Full-Time, Hourly * Bachelor's Degree in Computer Science or related field, but may be substituted by relevant work experience * 0-3 years of experience in ...

Oxefit Inc

Be Seen First

QA Tester

Plano, TX · On-site

... Full-time Locations: Plano ----- Salary Range: Based on experience As a QA Tester , you will play a key role in ensuring the quality and reliability of OxeAI , OxeFit's AI-powered fitness platform ...

Booz Allen Hamilton, Inc.

$61K - $141K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton

Software Tester

King George, VA · On-site

$61K - $141K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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Full Time Ai Tester information

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How much do full time ai tester jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for full time 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 does a full time AI tester do?

A Full Time AI Tester is responsible for evaluating and validating artificial intelligence systems to ensure they function as intended. Their duties include designing and executing test cases, identifying bugs or issues, and collaborating with developers to improve AI models. They may also assess the fairness, accuracy, and reliability of AI algorithms, and ensure compliance with ethical standards. This role typically requires strong analytical skills, attention to detail, and familiarity with machine learning concepts.

What are some common challenges faced by full time AI testers when validating machine learning models?

Full Time AI Testers often encounter challenges related to the complexity and unpredictability of AI systems, such as ensuring models perform accurately across diverse real-world data and edge cases. Testing for bias, fairness, and explainability can also be demanding, as these require specialized tools and a deep understanding of both the data and the algorithms. Additionally, AI Testers must frequently collaborate with data scientists and developers to clarify requirements and reproduce issues, making strong communication skills essential. Keeping up with rapidly evolving AI technologies and best practices is another important aspect of the role.

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

Thriving as a Full Time AI Tester requires a solid understanding of software testing methodologies, programming fundamentals, and experience with AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with test automation tools (like Selenium or PyTest), version control systems (such as Git), and platforms for AI model deployment is typically necessary. Strong analytical thinking, attention to detail, and effective communication help testers identify issues and collaborate with development teams. These competencies ensure the reliability, accuracy, and fairness of AI systems, which is critical for their safe and effective deployment.
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Full Time Ai Tester jobs near you
Infographic showing various Full Time Ai Tester job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $79,791 per year, or $38.4 per hour.

Lead AI Engineer | Onsite - Delaware

Photon

Wilmington, DE • On-site

$99K - $131K/yr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description


Key Responsibilities
  • Own delivery of LLM API integration and SDK patterns used across applications.

  • Set organizational guidance on which LLM to use for what use case and drive delivery of multi-LLM scenarios.

  • Define standards for advanced prompt engineering and context window management.

  • Own delivery of RAG systems, including vector database selection/topology and knowledgebase design.

  • Drive delivery of AI agent and multi-agent systems and tool-use/MCP integration patterns.

  • Own guardrails delivery (safety, compliance, PII handling in prompts/outputs) - critical in a financial-services context.

  • Define evaluation frameworks and real-time eval strategy; set standards for AI testing in CI/CD.

  • Own latency profiling, AI observability, and cost tracking/management for LLM-backed systems.

  • Run day-to-day delivery of the offshore development team: sprint commitments, code/design review, real-time unblocking, and hands-on work on critical-path AI features.

  • Report delivery status, risks, and blockers to engineering leadership.

Must-Have Qualifications
  • 6+ years in software engineering, with 2+ years as a tech lead owning end-to-end delivery of LLM/AI-powered systems (not a pure design/review architect role).

  • Proven track record of shipping AI-powered features on committed timelines, including hands-on troubleshooting under delivery pressure.

  • Strong, hands-on Python skills at an architectural/systems level.

  • Proven experience architecting LLM API integrations and SDK-level abstractions across multiple providers.

  • Demonstrated judgment on model selection (cost, latency, capability trade-offs) across use cases.

  • Deep expertise in prompt engineering and context window management at scale.

  • Proven design experience with RAG systems, including vector database architecture and knowledgebase design.

  • Experience architecting AI agents/multi-agent systems and tool-use patterns (MCP or equivalent).

  • Strong understanding of guardrails design - content safety, PII protection, compliance controls for AI outputs.

  • Experience defining evaluation frameworks and integrating AI testing into CI/CD.

  • Proven ability to design for latency, observability, and cost management of AI systems in production.

  • Financial-services or regulated-industry experience strongly preferred given compliance/guardrail stakes.

  • Strong stakeholder communication; able to directly manage day-to-day delivery of an offshore team (standups, unblocking, sprint accountability).

Nice-to-Have Qualifications
  • Direct experience with specific frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent).

  • Experience with AWS Bedrock or comparable managed LLM platforms.

  • Contributions to or deep familiarity with MCP (Model Context Protocol) implementations.

  • Experience building internal LLM gateways.

  • Familiarity with responsible-AI/model-risk-management frameworks used in financial services.

Compensation, Benefits and Duration
Minimum Compensation: USD 56,000
Maximum Compensation: USD 196,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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