Generative Ai Engineer We are looking for a generative AI engineer to work on the full lifecycle of ... testing models, deploying performant systems into our production architecture stack. Upcoming ...
Generative Ai Engineer We are looking for a generative AI engineer to work on the full lifecycle of ... testing models, deploying performant systems into our production architecture stack. Upcoming ...
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 ...
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 ...
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 ...
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 ...
We are looking for a Generative AI engineer to work on the full lifecycle of novel spatial ... testing models, deploying performant systems into our production architecture stack. Upcoming ...
We are looking for a Generative AI engineer to work on the full lifecycle of novel spatial ... testing models, deploying performant systems into our production architecture stack. Upcoming ...
... Generative AI Security Standard. Qualifications : Required : • 1+ years of experience in offensive security OR adversarial AI testing (red teaming, application security, penetration testing ...
... Generative AI Security Standard. Qualifications : Required : • 1+ years of experience in offensive security OR adversarial AI testing (red teaming, application security, penetration testing ...
... testing methodologies for both generative and predictive AI systems. We are building a robust foundation for AI security through adversarial datasets, in-house content generation systems, and ...
... testing methodologies for both generative and predictive AI systems. We are building a robust foundation for AI security through adversarial datasets, in-house content generation systems, and ...
AI Engineer (AI Accelerator Program)
San Francisco, CA · On-site
$62.25 - $85.25/hr
Responsibilities include building robust data pipelines, deploying machine learning and generative ... Performs or directs highly complex data modeling, performance and integration testing and builds ...
AI Engineer (AI Accelerator Program)
San Francisco, CA · On-site
$62.25 - $85.25/hr
Responsibilities include building robust data pipelines, deploying machine learning and generative ... Performs or directs highly complex data modeling, performance and integration testing and builds ...
... generative AI. They are seeking a Staff Product Manager to lead the development of the Agentic AI ... testing, and launches • Lead cross-functional teams including engineering, product design ...
... generative AI. They are seeking a Staff Product Manager to lead the development of the Agentic AI ... testing, and launches • Lead cross-functional teams including engineering, product design ...
Knowledge of automated UI testing frameworks * Past experience or strong interest in generative AI * Highly collaborative mindset with strong communication and problem-solving skills. As a part of ...
Knowledge of automated UI testing frameworks * Past experience or strong interest in generative AI * Highly collaborative mindset with strong communication and problem-solving skills. As a part of ...
Collaborate with AI scientists to integrate generative AI, RAG, and chatbot solutions * Implement ... Strong automated testing experience (Python unittest, Jest, Playwright) * Experience with ...
Quick apply
Collaborate with AI scientists to integrate generative AI, RAG, and chatbot solutions * Implement ... Strong automated testing experience (Python unittest, Jest, Playwright) * Experience with ...
Senior Software Engineer (AI/ML)
San Francisco, CA · On-site
$144K - $190K/yr
Enhance NLP clustering algorithms using Generative AI (LLMs, embeddings, semantic clustering ... Drive best practices in code quality, testing, and deployment * Stay current with emerging AI ...
Quick apply
Senior Software Engineer (AI/ML)
San Francisco, CA · On-site
$144K - $190K/yr
Enhance NLP clustering algorithms using Generative AI (LLMs, embeddings, semantic clustering ... Drive best practices in code quality, testing, and deployment * Stay current with emerging AI ...
AI Senior Scientist
San Francisco, CA · Hybrid
Domain & Technical Growth - Remain current with the latest research trends in Generative AI ... with continuous testing and governance compliance. * Resource Optimization - Apply financial ...
AI Senior Scientist
San Francisco, CA · Hybrid
Domain & Technical Growth - Remain current with the latest research trends in Generative AI ... with continuous testing and governance compliance. * Resource Optimization - Apply financial ...
... generative AI. They are seeking a product leader to build Agentic AI platforms that support ... testing, and launches • Lead cross-functional teams including engineering, product design ...
... generative AI. They are seeking a product leader to build Agentic AI platforms that support ... testing, and launches • Lead cross-functional teams including engineering, product design ...
AI Senior Scientist
San Francisco, CA · On-site
We accelerate the successful discovery, design, and development of human therapeutics by testing on ... Domain & Technical Growth - Remain current with the latest research trends in Generative AI ...
AI Senior Scientist
San Francisco, CA · On-site
We accelerate the successful discovery, design, and development of human therapeutics by testing on ... Domain & Technical Growth - Remain current with the latest research trends in Generative AI ...
Applied AI Engineer
San Francisco, CA · On-site
... Generative AI , Computer Vision , and Machine Learning . This role is a blend of software ... Lead full project lifecycles: scoping, solution design, development, implementation, testing ...
Applied AI Engineer
San Francisco, CA · On-site
... Generative AI , Computer Vision , and Machine Learning . This role is a blend of software ... Lead full project lifecycles: scoping, solution design, development, implementation, testing ...
Applied AI Engineer
San Francisco, CA · On-site
... Generative AI , Computer Vision , and Machine Learning . This role is a blend of software ... Lead full project lifecycles: scoping, solution design, development, implementation, testing ...
Applied AI Engineer
San Francisco, CA · On-site
... Generative AI , Computer Vision , and Machine Learning . This role is a blend of software ... Lead full project lifecycles: scoping, solution design, development, implementation, testing ...
AI deployment engineer (West)
San Francisco, CA · On-site
$131K - $185K/yr
... generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin ... Early-detection cancer testing through Galleri * Flexible spending account and dependent FSA ...
AI deployment engineer (West)
San Francisco, CA · On-site
$131K - $185K/yr
... generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin ... Early-detection cancer testing through Galleri * Flexible spending account and dependent FSA ...
Research Engineer
San Francisco, CA · On-site
$120K - $200K/yr
Utilize rigorous testing and iterative improvement processes to optimize the performance and ... Experience with LLMs and imaginative generative AI. * Participation in research projects/papers ...
Research Engineer
San Francisco, CA · On-site
$120K - $200K/yr
Utilize rigorous testing and iterative improvement processes to optimize the performance and ... Experience with LLMs and imaginative generative AI. * Participation in research projects/papers ...
Research Engineer
$120K - $200K/yr
Utilize rigorous testing and iterative improvement processes to optimize the performance and ... Experience with LLMs and imaginative generative AI. * Participation in research projects/papers ...
Research Engineer
$120K - $200K/yr
Utilize rigorous testing and iterative improvement processes to optimize the performance and ... Experience with LLMs and imaginative generative AI. * Participation in research projects/papers ...
Senior Software Engineer - Together Cloud Infrastructure
San Francisco, CA · On-site
$127K - $173K/yr
Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative ... testing frameworks for robustness and fault-tolerance Qualifications : Required : • 5+ years of ...
Senior Software Engineer - Together Cloud Infrastructure
San Francisco, CA · On-site
$127K - $173K/yr
Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative ... testing frameworks for robustness and fault-tolerance Qualifications : Required : • 5+ years of ...
Generative Ai Testing information
See San Rafael, CA salary details
$35.64 - $40.15
6% of jobs
$40.15 - $44.65
4% of jobs
$44.65 - $49.16
13% of jobs
$49.72 is the 25th percentile. Wages below this are outliers.
$49.16 - $53.66
15% of jobs
The median wage is $57.98 / hr.
$53.66 - $58.17
13% of jobs
$58.17 - $62.68
24% of jobs
$62.96 is the 75th percentile. Wages above this are outliers.
$62.68 - $67.18
4% of jobs
$67.18 - $71.69
3% of jobs
$71.69 - $76.20
2% of jobs
$76.20 - $80.70
11% of jobs
$80.70 - $85.21
5% of jobs
$35
$59
$85
How much do generative ai testing jobs pay per hour?
As of Jun 12, 2026, the average hourly pay for generative ai testing in San Rafael, CA is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $49.33 and $68.61 per hour, depending on experience, location, and employer.
What is the difference between Generative Ai Testing vs Data Scientist?
| Aspect | Generative Ai Testing | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of AI models, testing tools, programming skills | Statistics, programming, data analysis certifications |
| Work Environment | AI development teams, testing labs, tech companies | Research labs, tech firms, finance, healthcare |
| Employer & Industry Usage | AI product testing, quality assurance in tech | Data 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 much do AI testers get paid?
AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.
Is AI testing a good career?
AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and programming. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development and quality assurance.
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 a $900,000 AI job?
A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leading AI development projects, strategic planning, and overseeing AI teams in large organizations or tech companies.
How do I become an AI tester?
To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI development tools and testing frameworks, along with attention to detail, is essential for identifying issues in AI systems.
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.
What are popular job titles related to Generative Ai Testing jobs in San Rafael, CA? For Generative Ai Testing jobs in San Rafael, CA, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in San Rafael, CA look for? The top searched job categories for Generative Ai Testing jobs in San Rafael, CA are:
What cities near San Rafael, CA are hiring for Generative Ai Testing jobs? Cities near San Rafael, CA with the most Generative Ai Testing job openings:
Other
Posted 28 days ago
Job description
Generative Ai Engineer
We are looking for a generative AI engineer to work on the full lifecycle of novel spatial generative AI model development, defining the correct frame of an inference problem, structuring image-based training data into usable formats, training and testing models, deploying performant systems into our production architecture stack.
Upcoming Challenges- Generate high quality renovation and home design layouts using state-of-the-art generative models.
- Build a model that adapts to user feedback and suggests home design tailored to user preferences.
- Define required datasets and work with labeling agencies to generate high quality data.
- Deploy models to production environments and iterate with real users on real-world problems.
- MS in Computer Science with a focus or specialty in Machine Learning
- 2+ years of experience training and deploying real-world AI. Deep understanding of model architectures, training pipelines, and evaluation methodologies.
- Creativity and technical depth to explore, evaluate, and iterate on different machine learning approaches
- Scrappiness and speed in getting models built and tested under real-world constraints.
- Strong background in algorithms, data structures, and mathematics, with the ability to design performant solutions to spatial and generative problems.
- Proficiency in Python, with a strong preference for experience using NumPy and PyTorch.
About Dream Technologies
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