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Live In Ai Validation Jobs in Riverside, CA (NOW HIRING)

Synaptics Inc.

Hardware Engineer, ATE

Irvine, CA

$86K - $135K/yr

Description Synaptics is leading the charge in AI at the Edge, bringing AI closer to end users and ... You will be responsible for designing, developing, and validating automated test hardware solutions ...

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Synaptics Inc

Hardware Engineer, ATE

Irvine, CA · On-site

$86K - $135K/yr

Apply Now Save Job Saved Description Synaptics is leading the charge in AI at the Edge, bringing AI ... You will be responsible for designing, developing, and validating automated test hardware solutions ...

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TheCoTeam

Senior Director of Philanthropy

Anaheim, CA · On-site

$135K - $170K/yr

Live in San Diego, CA or Orange County, CA (able to network, meet with donors, etc) * No in office ... AI, CRM systems) * Understands the Bigger Picture : Grasps the political and climate landscape ...

Jobs for Humanity

Speakers/Writers

Irvine, CA

$15 - $60/hr

Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox ... International students on a valid visa may be eligible to apply; however, specific circumstances ...

Jobs for Humanity

Speakers/Writers

Moreno Valley, CA

$15 - $60/hr

Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox ... International students on a valid visa may be eligible to apply; however, specific circumstances ...

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Live In Ai Validation information

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How much do live in ai validation jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for live in ai validation in Riverside, CA is $54.25, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $65.96 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Live In AI Validation Specialist, and why are they important?

To thrive as a Live In AI Validation Specialist, you need a solid background in computer science, data analysis, and machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow, and data annotation platforms, as well as an understanding of AI validation protocols, is typically required. Attention to detail, critical thinking, and strong communication skills are essential soft skills for ensuring accurate validation and effective collaboration with development teams. These competencies are crucial for maintaining AI system quality, reliability, and alignment with real-world requirements.

What are some common challenges faced by professionals in Live-In AI Validation roles, and how can they be addressed?

Professionals in Live-In AI Validation often encounter challenges such as managing large-scale data collection in real-time environments and ensuring the accuracy of AI outputs in dynamic, real-world settings. Collaboration with data scientists, engineers, and end users is key to troubleshooting unexpected behaviors and improving system reliability. Strong communication and adaptability help team members quickly respond to new scenarios or hardware changes during validation. Staying up-to-date with the latest AI validation tools and continuous feedback loops can also significantly enhance the effectiveness of the validation process.

What are Live In AI Validation jobs?

Live In AI Validation jobs involve working closely with artificial intelligence systems to test, review, and improve their performance in real-world settings. Professionals in this role typically monitor the outputs of AI algorithms, validate data quality, and provide feedback to ensure the AI operates accurately and ethically. These jobs may require living on-site or being embedded in environments where the AI is deployed, such as smart homes, research labs, or automated facilities. The goal is to bridge the gap between AI development and real-world application, ensuring the technology is reliable and effective.

What is the difference between Live In Ai Validation vs Live In Data Entry?

AspectLive In Ai ValidationLive In Data Entry
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, client-facing, flexible hoursRemote, client-facing, flexible hours
Industry UsageAI, tech, data servicesVarious industries, administrative tasks
Common Search IntentAI validation, data verification jobsData entry, administrative jobs

Live In Ai Validation involves verifying and validating AI-generated data to ensure accuracy, often requiring critical thinking and familiarity with AI tools. In contrast, Live In Data Entry focuses on inputting data into systems, emphasizing speed and accuracy. Both roles are remote and require similar skills but serve different functions within the data management industry.

What are the most commonly searched types of Ai Validation jobs in Riverside, CA? The most popular types of Ai Validation jobs in Riverside, CA are:
What are popular job titles related to Live In Ai Validation jobs in Riverside, CA? For Live In Ai Validation jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Live In Ai Validation jobs in Riverside, CA look for? The top searched job categories for Live In Ai Validation jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Live In Ai Validation jobs? Cities near Riverside, CA with the most Live In Ai Validation job openings:
Live In Ai Validation jobs near you
Staff Data Scientist

Staff Data Scientist

Edwards Lifesciences Corporation

Irvine, CA • On-site

Full-time

Posted 4 days ago

Edwards Lifesciences rating

8.3

Company rating: 8.3 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

69th of 527 rated manufacturers

Job description

Many structural heart patients suffer from heart failure with limited options. Our Implantable Heart Failure Management (IHFM) team, part of the AI, Product and Platforms organization, is at the forefront of addressing these unmet patient needs through pioneering technology that enables early, targeted therapeutic intervention. Our innovative solutions are not just transforming patient care but also creating a unique and exciting environment for our team members. It is our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.
At Edwards Lifesciences, the Implantable Heart Failure Management (IHFM) AI, Product and Platforms organization designs and builds the software and data products that clinicians and patients depend on. As a Staff Data Scientist, you design the modeling and evaluation approaches that others build on for a problem class, set validation strategy, and raise the modeling rigor of the teams around you, while remaining deeply hands-on.
Based in Irvine, CA, you'll join a high-impact medtech innovation hub in the heart of Orange County, collaborating in person with cross-functional teams to shape patient-focused technology.
How you'll make an impact
  • Approach design. Design the modeling and evaluation approaches others build on for a problem class, for example, medical imaging segmentation or multimodal patient-state modeling, and build the reference implementations yourself.
  • Advanced paradigms. Bring advanced paradigms to bear where they fit, including self-supervised and contrastive learning, multi-task learning, and cross-modal fusion.
  • Validation strategy. Set offline validation, calibration, and clinical performance evaluation strategy, including subgroup and fairness analysis, with Medical Affairs and Clinical Science.
  • Reusable practice. Establish reusable modeling patterns, evaluation harnesses, and documentation practices that meet regulatory submission expectations.
  • Efficiency & scale. Apply label-efficient methods (active, semi-supervised, weak supervision) and efficient training at scale (distributed training with Ray or PyTorch).
  • Research evaluation. Lead evaluation of emerging AI/ML for health research and decide what to adopt for IHFM problems.
  • Technical leadership. Mentor senior and mid-level data scientists and shape the research to productization handoff with AI/ML Engineers (Applied).
  • Model performance, optimization & process enablement. Guide implementation of processes and tools to develop, analyze, and improve model performance and data accuracy; apply predictive modeling and algorithms to datasets to optimize outcomes (e.g., clinical trial experience) and ensure models remain current.
  • Stakeholder partnership, testing & reporting. Partner with internal and external stakeholders to plan implementation, testing, training, and monitoring of machine learning models; conduct ad hoc analyses (e.g., effectiveness metrics) and present results and insights to leadership.
  • Data governance, sourcing & enablement. Drive processing of structured and unstructured data with data stewards, including data governance practices; identify and integrate diverse data sources to enhance solutions in collaboration with business stakeholders.

What you'll need (Required):
  • Bachelor's in Computer Science, Engineering, Biostatistics or Scientific field plus 6 years of experience including either industry or industry / education -or- Master's plus 5 years -or- PhD plus 2 years.
  • Relocation is not provided for this role. Only candidates within a 50-mile radius of Irvine, California will be considered.

What else we look for (Preferred):
  • Deep domain expertise in cardiac, hemodynamic, imaging, or physiological modeling.
  • Recognized depth across multiple paradigms and architecture families, including self-supervised and multimodal approaches.
  • Depth in one or more data modalities (physiological modeling, medical imaging, or multimodal fusion) and in calibration and uncertainty quantification.
  • The ability to set modeling and validation standards that others follow, and to represent modeling decisions to clinical and regulatory partners.
  • Fluency across the modeling stack (for example, PyTorch, PyTorch Lightning, and experiment tracking) sufficient to set team practice.
  • Advanced generative or graph methods (diffusion models, graph neural networks), or federated learning methodology.
  • Demonstrated technical leadership and mentorship.
  • Performance engineering for training (C++, CUDA, JAX, or DeepSpeed).
  • A history of shaping clinical validation strategy and regulatory submissions for models.
  • Recognized research contributions in AI/ML for health.
  • Active learning or weak supervision to reduce clinical labeling cost.

Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For California (CA), the base pay range for this position is $126,000 to $178,000 (highly experienced).
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.
COVID Vaccination Requirement
Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.

What Edwards Lifesciences employees say

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About Edwards Lifesciences

Sourced by ZipRecruiter

Edwards Lifesciences is the global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, the company collaborates with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, Edwards Lifesciences has extensive operations in North America, Europe, Japan, Latin America and Asia and currently employs over 15,000 individuals worldwide. For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

1958

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