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Generative Ai Testing Jobs (NOW HIRING)

Writer

Software engineer, generative AI

San Francisco, CA · On-site

$111K - $304K/yr

As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human ... Early-detection cancer testing through Galleri * Flexible spending account and dependent FSA ...

Hearst

Senior Engineer, Generative AI

New York, NY · On-site

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source ... A commitment to automated testing and software development best practices * Strong problem solving ...

Peraton

Generative AI Specialist / AI & ML Developer

$135K - $216K/yr

Generative AI Specialist / AI & ML Developer Location: Remote Required: U.S. citizenship and the ... testing, and LLM evaluation frameworks (RAGAS, DeepEval) • Experience with synthetic data ...

Cognizant

Generative AI Lead Engineer

Dallas, TX · On-site

$120 - $140/hr

About the role As a Generative AI Engineer , you will make an impact by designing and building ... testing, deployment, and code reviews) * Develop scalable architectures leveraging Retrieval ...

OpenDataJobs

Generative AI Engineer Role

Washington, DC · On-site

The work Generative AI Engineers build production applications around foundation models and large ... What you bring A strong application-engineering foundation, including programming, APIs, testing ...

New

Citizens

Sr Data Scientist- Generative AI

Westwood, MA · On-site

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI ... testing. * Build scalable AI solutions using modern frameworks and infrastructure including vLLM ...

Citizens

Sr Data Scientist- Generative AI

Columbus, OH · On-site

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI ... testing. * Build scalable AI solutions using modern frameworks and infrastructure including vLLM ...

Citizens

Sr Data Scientist- Generative AI

Columbus, OH · On-site

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI ... testing. * Build scalable AI solutions using modern frameworks and infrastructure including vLLM ...

Citizens

Sr Data Scientist- Generative AI

Columbus, OH · On-site

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI ... testing. * Build scalable AI solutions using modern frameworks and infrastructure including vLLM ...

eTeam

Generative AI Developer

Denver, CO · On-site

Job Summary : eTeam is a company looking for a Generative AI Developer. The role involves strong ... testing • Deployment patterns • batch real-time inference • Data APIs • SQL • REST • ...

Afficiency

Generative AI Engineer

Manhattan, NY · On-site +1

Implement prompt testing, evaluation, and optimization frameworks to improve accuracy, consistency ... AI & Generative AI * Prompt Engineering * Large Language Models (LLMs) * OpenAI GPT/Codex

Aquent

AI Software Test Engineer (SDET)

Ann Arbor, MI · On-site

$42.06 - $46.73/hr

Experience testing Generative AI applications, large language model (LLM)-based systems, AI agents, RAG applications, or complex platform integrations. * Familiarity with leading AI models and ...

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Generative Ai Testing information

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How much do generative ai testing jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for generative ai testing in the United States is $53.73, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $61.54 per hour, depending on experience, location, and employer.

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Certifications in AI or data science can enhance your qualifications and improve job prospects.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development that involves evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, making it a promising career path with increasing demand as AI technologies expand. Professionals in this area can find opportunities in tech companies, research labs, and startups focused on AI innovation.

What are the key skills and qualifications needed to thrive as a generative AI testing specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What is generative AI testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
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What cities are hiring for Generative Ai Testing jobs? Cities with the most Generative Ai Testing job openings:
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Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $111,750 per year, or $53.7 per hour.

Software engineer, generative AI

Writer

San Francisco, CA • On-site

$111K - $304K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Job description

About WRITER
WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.
Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
About the rolex
Imagine stepping into a role where your code directly empowers the world's largest enterprises to safely adopt superintelligence. As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human capacity by building the secure, scalable foundation that allows our generative AI solutions to thrive in complex corporate environments. The impact of this work is massive - for example, in the consumer packaged goods industry alone, our AI adoption is driving 69% revenue increases and 72% cost reductions.
This role is designed for a well-rounded engineering generalist who leans heavily into generative AI while bringing a whole-systems mindset to architectural design. If you thrive on proactivity without red tape and love owning projects from proposal to deployment, you'll shape the future of AI and contribute to a product that's changing how the world works. This is a hybrid role based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager.
* We are open to hiring for this role at multiple levels, from senior to staff software engineer, with compensation ranges scaled to match your experience and expertise.
What you'll do
  • Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation
  • Build and optimize high-performance, low-latency APIs and microservices to integrate advanced AI models and sophisticated agentic workflows into our core platform
  • Act as a whole-systems thinker by making meaningful system design decisions and owning the architecture of core platform components from initial proposal through production deployment
  • Implement and maintain responsive user interfaces using technologies like React and TypeScript to deliver intuitive user experiences and bridge the gap between backend services and frontend enablement
  • Drive proactivity without red tape by clearly communicating changes, plans, and proposals to cross-functional teams and collaborating closely with product managers, data scientists, and DevOps engineers
  • Partner with DevOps teams to build continuous deployment, logging, and monitoring systems that ensure top-tier performance, security, and reliability across distributed workloads

☆ What you need
  • 3-5+ years of hands-on experience as a software engineer with a strong emphasis on Python development in production environments
  • Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworks
  • Practical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and Kubernetes
  • Solid grasp of modern web technologies including FastAPI, Asyncio, database systems like PostgreSQL, and hands-on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot to accelerate your engineering workflows
  • Exposure to enterprise architecture including practical experience implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, robust security best practices, or building services for enterprise administration and billing systems
  • A Connect mindset that thrives in collaborative settings where you actively engage with cross-functional teams and mentor other engineers, a Challenge spirit that drives you to tackle complex technical hurdles and proactively suggest innovative improvements, and an Own attitude where you take full accountability for delivering high-quality, resilient, and scalable code from conception to production

Benefits & perks (US Full-time employees)
  • Generous PTO, plus company holidays
  • Medical, dental, and vision coverage for you and your family
  • Paid parental leave for all parents (16 weeks)
  • Fertility and family planning support
  • Early-detection cancer testing through Galleri
  • Flexible spending account and dependent FSA options
  • Health savings account for eligible plans with company contribution
  • Annual work-life stipends for:
    • Wellness stipend for gym, massage/chiropractor, personal training, etc.
    • Learning and development stipend
  • Company-wide off-sites and team off-sites
  • Competitive compensation, company stock options and 401k

WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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