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Day Ai Tester Jobs (NOW HIRING)

DXC Technology

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

... day. AI Lead Engineer Responsibilities: * Understand the define technical vision, roadmap, and ... testing automation, performance analysis, and operational intelligence. * Establish and enforce ...

Digipulse Technologies, Inc

AI Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Hybrid - 3 days onsite Employment Type: Contract (C2C) Requirement: Candidates must be local to one ... LLM testing and AI quality assurance * RAG, vector databases, semantic search, and embeddings * AI ...

Google

Novel AI Lead Methodologist

Washington, DC · On-site

Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for ... About the job Novel Testing is a team within Trust and Safety specializing in complex testing ...

Newcode.ai

Head of Testing (AI)

New York, NY · On-site

As a fast-growing startup, we're building and evolving every day. That means not every process ... This role requires someone who understands both software testing and AI product evaluation ...

Newcode.ai

Head of Testing (AI)

New York, NY · On-site

As a fast-growing startup, we're building and evolving every day. That means not every process ... This role requires someone who understands both software testing and AI product evaluation ...

SharkNinja

Manager, Programs & AI Delivery

Needham, MA · On-site

Own the day-to-day AI build lifecycle - from problem framing and prototyping through testing, deployment, and iteration. * Document how tools work and apply sensible quality and evaluation checks so ...

Bishop Fox

Senior AI/LLM Penetration Tester

OR · On-site +1

... AI-powered penetration testing and AI/LLM security assessments that reflect real-world attacker ... Our core values, which we live by every day, are: * Be Excellent to Each Other * Do the Right Thing

Bishop Fox

Senior AI/LLM Penetration Tester

... AI-powered penetration testing and AI/LLM security assessments that reflect real-world attacker ... Our core values, which we live by every day, are: * Be Excellent to Each Other * Do the Right Thing

Photon

Lead AI Engineer

Newark, DE · On-site

$100K - $132K/yr

... 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 ...

ECS

AI Test Engineer

Ashburn, VA · On-site

Everforth ECS is seeking an AI Testing Engineer to work minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Ashburn, VA customer site. Please Note: This position is ...

Ericsson

Senior AI Analytics Engineer

Plano, TX · On-site

$100K - $137K/yr

This role is a hybrid position with the expectation to work onsite (3) three days a week in the ... experience - modeling, testing, and documentation. We'd love it, but we don't require it

CGI Inc.

Quality Engineer (AI Testing)

Atlanta, GA · On-site

$69K - $89K/yr

Quality Engineer (AI Testing) Category: Testing/Quality Assurance Main location: United States ... CGI's benefits are offered to eligible professionals on their first day of employment to include:

Newcode.ai

Head of Testing (AI)

New York, NY · On-site

As a fast-growing startup, we're building and evolving every day. That means not every process ... This role requires someone who understands both software testing and AI product evaluation ...

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Day Ai Tester information

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How much do day ai tester jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for day 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 is the difference between Day Ai Tester vs Data Analyst?

AspectDay Ai TesterData Analyst
Required CredentialsBasic knowledge of AI tools, testing certificationsBachelor's in Data Science, Statistics, or related fields
Work EnvironmentTech companies, AI development teams, testing labsBusiness, finance, healthcare sectors analyzing data
Employer & Industry UsageAI startups, tech firms, software companiesCorporations, consulting firms, research institutions
Common Search & ComparisonYesYes

The main difference between a Day Ai Tester and a Data Analyst lies in their focus. Day Ai Testers primarily evaluate AI systems for accuracy and functionality, often requiring knowledge of AI tools and testing certifications. Data Analysts interpret data to inform business decisions, typically holding degrees in data-related fields. While both roles work with data and are found in tech-driven industries, their daily tasks and skill requirements differ significantly.

How does a Day AI Tester typically collaborate with developers and data scientists during the model evaluation process?

Day AI Testers work closely with developers and data scientists by providing detailed feedback on model performance, identifying edge cases, and suggesting improvements based on real-world testing scenarios. They often participate in daily stand-ups or sprint meetings to discuss test results, clarify requirements, and align on priorities. Effective communication and documentation are essential, as Day AI Testers help bridge the gap between technical teams and end-user expectations, ensuring that AI models are robust, reliable, and ready for deployment.

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

To thrive as a Day AI Tester, you need a solid understanding of software testing principles, machine learning concepts, and quality assurance methodologies, often 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 AI-specific frameworks is typically required. Strong analytical thinking, attention to detail, and effective communication skills help testers identify issues and collaborate with development teams. These skills ensure the reliability, accuracy, and ethical performance of AI systems in real-world applications.

What is a Day AI Tester?

Day AI Testers are professionals responsible for evaluating artificial intelligence (AI) systems, particularly those related to natural language processing, machine learning, or other AI applications, during regular daytime work hours. Their main duties include designing test cases, running experiments, identifying bugs, and ensuring that AI models perform accurately and ethically. Day AI Testers often collaborate with developers and data scientists to improve the quality and reliability of AI products before they are released to users.
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Infographic showing various Day Ai Tester job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $79,791 per year, or $38.4 per hour.

AI Lead Engineer

DXC Technology

Nashville, TN • On-site

$99K - $130K/yr

Full-time

Re-posted 12 days ago

DXC Technology rating

7.0

Company rating: 7.0 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

151st of 223 rated it services

Job description

Job Description:
About DXC Technology
DXC Technology is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations - helping them harness AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed Infrastructure Services, Application Modernization, and Industry-Specific Software Solutions, DXC modernizes, secures, and operates some of the world's most complex technology estates.
DXC's Insurance Software and BPS (ISB) helps insurers around the world modernize and run their core operations at scale by combining deep industry expertise, proven software platforms, and innovative AI-driven solutions. A global market leader in core insurance platforms, ISB delivers solutions across policy administration, claims, billing, analytics, and digital engagement supporting Life & Annuity, Property & Casualty, and Specialty insurance markets. You'll directly shape how the world's leading insurers operate by helping to transform the policy, underwriting, and claims systems that millions of people rely on every day.
AI Lead Engineer
Responsibilities:
  • Understand the define technical vision, roadmap, and architecture for Generative AI and Agentic AI capabilities within the Assure Build Platform, ensuring scalability, security, and enterprise readiness.
  • Lead the design and implementation of core GenAI platform components, including:
    • Agentic AI and multi-agent orchestration
    • Retrieval-Augmented Generation (RAG) pipelines
    • LLM model selection, configuration, and prompt tooling
    • Model fine-tuning and customization pipelines
  • Architect and govern AI agents capable of multi-step reasoning, tool usage, memory management, and workflow orchestration, ensuring reliability, traceability, and controlled execution.
  • Drive LLM inference optimization initiatives, including:
    • Prompt engineering and prompt tuning
    • Response and retrieval caching strategies
    • Latency reduction and throughput optimization
    • Cost governance across multiple model families
  • Lead integration of Copilot Studio-based agents into Assure workflows, translating interaction history and usage patterns into reusable, production-grade AI solutions.
  • Partner closely with engineering, platform, product, and operations teams to embed GenAI capabilities into high-impact Assure workflows such as migration acceleration, testing automation, performance analysis, and operational intelligence.
  • Establish and enforce best practices for GenAI engineering, including secure prompt handling, evaluation frameworks, monitoring, logging, and responsible AI principles.
  • Mentor and guide senior and junior engineers, cultivating deep technical expertise in GenAI, agentic systems, and platform-first design.
  • Promote a culture of innovation, experimentation, and learning, while maintaining strong governance, operational excellence, and long-term platform sustainability.

Minimum Qualifications
  • 8+ years of professional software development experience building scalable, distributed, and maintainable systems.
  • 3+ years of experience in a technical leadership role, guiding teams through complex architectural and design decisions and setting high standards for performance, reliability, and code quality.
  • Deep, hands-on expertise in Large Language Models (LLMs), including:
    • Inferencing and runtime behavior
    • Embedding generation
    • Knowledge integration using Retrieval-Augmented Generation (RAG)
  • Strong, demonstrated experience with Agentic AI systems, including:
    • Design and implementation of single-agent and multi-agent architectures
    • Multi-step reasoning and planning
    • Tool-calling and workflow orchestration
    • Agent memory, state management, and traceability
    • Human-in-the-loop and controlled execution patterns
  • Proven experience designing and delivering enterprise-grade GenAI platforms that support:
    • Agent orchestration and lifecycle management
    • Prompt engineering, versioning, and governance
    • RAG integration and evaluation
    • Model selection, configuration, and deployment
  • Experience fine-tuning, adapting, or customizing foundation models to improve task-specific performance and domain alignment.
  • Advanced knowledge of LLM and Agent inference optimization techniques, including prompt tuning, caching strategies, quantization, and latency reduction across different model families.
  • Strong programming skills in Python (mandatory); experience with Java or equivalent languages for platform and systems engineering is a strong plus.
  • Demonstrated ability to work cross-functionally and influence product and platform direction through technical leadership and user-centered thinking.
  • Strong passion for operational excellence, observability, automation, and building secure, developer-friendly AI and Agentic AI infrastructure at scale.
  • Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.
If you are an applicant from the United States, Guam, or Puerto Rico
DXC Technology Company (DXC) is an Equal Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law. View postings below .
We participate in E-Verify. In addition to the posters already identified, DXC provides access to prospective employees for the Federal Minimum Wage Poster, Federal Polygraph Protection Act Poster as well as any state or locality specific applicant posters. To access the postings in the link below, select your state to view all applicable federal, state and locality postings. Postings are available in English, and in Spanish, where required. View postings below.
Postings Link
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If you are an individual with a disability, a disabled veteran, or a wounded warrior and you are unable or limited in your ability to access or use this site as a result of your disability, you may request a reasonable accommodation by contacting us via email.
Please note: DXC will respond only to requests for accommodations due to a disability.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

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