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Live In Ai Validation Jobs in Boston, MA (NOW HIRING)

Full Time, Live In Caretaker Seeking a full-time, live in caretaker for Marina Bay, or couple for ... Must have a valid MA driver's license and car. Relevant training/experience is helpful. All ...

) IMMEDIATE OPENING FOR WEEKEND LIVE-IN CAREGIVER IN MILFORD MA Ready to make a real difference? -We ... Valid driver's license, reliable transportation, and current auto insurance * Must pass a ...

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Live In Aide

Boston, MA · On-site

$15.75 - $20.25/hr

Valid driver's license and reliable personal vehicle * Fluent in English (verbal and written) * Compassionate, empathetic, kind, and respectful * Experience working live-in is preferred * Dependable ...

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Live In Aide

Boston, MA · On-site

$15.75 - $20.25/hr

Valid driver's license and reliable personal vehicle * Fluent in English (verbal and written) * Compassionate, empathetic, kind, and respectful * Experience working live-in is preferred * Dependable ...

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Live In Ai Validation information

See Boston, MA salary details

$24

$56

$84

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

As of Aug 17, 2026, the average hourly pay for live in ai validation in Boston, MA is $56.49, according to ZipRecruiter salary data. Most workers in this role earn between $42.84 and $68.70 per hour, depending on experience, location, and employer.

What is a live in AI validation job?

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 are the key skills and qualifications needed to thrive as a live in AI validation specialist?

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 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 popular job titles related to Live In Ai Validation jobs in Boston, MA?

For Live In Ai Validation jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Live In Ai Validation jobs in Boston, MA look for?

The top searched job categories for Live In Ai Validation jobs in Boston, MA are:

Infographic showing various Live In Ai Validation job openings in Boston, MA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $117,497 per year, or $56.5 per hour.

Principal Quality Development Engineer

InterSystems

Boston, MA • On-site

Full-time

Re-posted 14 days ago


Job description

Job Summary:
InterSystems is a creative data technology provider focused on delivering innovative solutions for healthcare and other sectors. The Principal Quality Development Engineer will work within a cross-functional agile team to enhance product quality by developing AI validation methodologies and collaborating on testing strategies to ensure high performance and security of applications.
Responsibilities:
• Develop, maintain, and implement AI validation methodologies and tools to validate non-deterministic AI-enabled applications in alignment with industry best practices.
• Define and standardize non-functional and structural testing strategies to validate application performance, security, and interoperability across various LLM.
• Collaborate with Agile teams in TrakCare and HealthShare to incorporate end-user needs and prioritize testing efforts to deliver work of high caliber.
• Research and maintain up-to-date industry knowledge and developments in the AI space.
• Evaluate and optimize LLM performance, including accuracy, safety, and hallucination detection.
• Identify, evaluate, document, and provide clear reporting of results for configuration testing and optimization.
• Lead the development of AI test strategies and detailed test plans for releases.
• Support QD teams with test design, execution, triage, and reporting practices.
• Perform system management tasks to support testing activities.
• Design and build custom tools for UI, API, and AI/ML validation.
• Provide governance across AI validation activities, operating with managerial and stakeholder oversight.
• Perform other duties as directed by the company from time to time.
Qualifications:
Required:
• Tertiary qualification in Computer Science or related discipline.
• 3+ years professional experience.
• Comprehensive understanding of AI tools’ capabilities and limitations.
• A flexible and adaptable approach to learning and developing new methodology, technologies and software products.
• Possesses intellectual curiosity and have a collaborative and personable demeanor.
• Experience working with interdisciplinary teams.
• Good understanding of the SDLC and software testing principles.
• Technical proficiency in multiple programming languages.
Preferred:
• Qualifications and/or certifications in AI.
• System administration or DevOps experience is advantageous.
Company:
InterSystems is a vendor of software and technology for high-performance database management, integration, and health information systems. Founded in 1978, the company is headquartered in Cambridge, USA, with a team of 1001-5000 employees. The company is currently Late Stage.