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Live In Ai Validation Jobs in Baltimore, MD (NOW HIRING)

InterImage

2906 AI Engineer

Annapolis, MD · On-site

Implement robust testing and validation strategies to ensure models are accurate and unbiased. • Continuous Improvement: Stay current with the latest advancements in AI and machine learning ...

ARSIEM Corporation

AI Engineer - SME

Columbia, MD · On-site

... validation. • Collaborate with platform engineers, product leads, mission users, and government ... Required : • Min 18 years with Bachelors, 15 years with Master's degree in Computer Science ...

Pwc

AI & GenAI Data Scientist - Manager

Baltimore, MD · On-site

$99K - $232K/yr

... in AI implementation and data engineering - Validating data quality and compliance within AI frameworks - Encouraging innovation and embracing change to drive business growth through AI solutions ...

Gormat

AI Engineer - SME

Annapolis Junction, MD · On-site

In this role you will get to provide technical advisory support for the design, evaluation, and ... validation. * Collaborate with platform engineers, product leads, mission users, and government ...

Gormat

AI Engineer - SME

Annapolis Junction, MD · On-site

$206K - $221K/yr

In this role you will get to provide technical advisory support for the design, evaluation, and ... validation. * Collaborate with platform engineers, product leads, mission users, and government ...

Gormat

AI Engineer - SME

Annapolis Junction, MD · On-site

$206K - $221K/yr

In this role you will get to provide technical advisory support for the design, evaluation, and ... validation.Collaborate with platform engineers, product leads, mission users, and government ...

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Showing results 21-40

All JobsLive In Ai Validation JobsLive In Ai Validation Jobs in Baltimore, MD

Live In Ai Validation information

See Baltimore, MD salary details

$22

$51

$77

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

As of Sep 4, 2026, the average hourly pay for live in ai validation in Baltimore, MD is $51.67, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $62.84 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 the most commonly searched types of Ai Validation jobs in Baltimore, MD?

The most popular types of Ai Validation jobs in Baltimore, MD are:

What are popular job titles related to Live In Ai Validation jobs in Baltimore, MD?

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

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

The top searched job categories for Live In Ai Validation jobs in Baltimore, MD are:

Live In Ai Validation jobs near you
Infographic showing various Live In Ai Validation job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $107,464 per year, or $51.7 per hour.

2906 AI Engineer

InterImage

Annapolis, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Roles and Responsibilities:
We have an immediate need for an Artificial Intelligence (AI) Engineer to support TO-005, Report Authoring and Dissemination (RAD). The AI Engineer will work closely with system and software engineers to design, prototype, and integrate AI advancements into the existing RAD architecture. This is a transformative position focused on building solutions that augment human intelligence, streamline workflows, and enhance the overall effectiveness of intelligence operations.
Required technical skills and responsibilities include:
• Design and Development: Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture. This includes prototyping new models, writing production-quality code, and maintaining existing AI systems.
• Collaboration and Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
• Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
• Model Building and Evaluation: Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements. Implement robust testing and validation strategies to ensure models are accurate and unbiased.
• Continuous Improvement: Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
• Cloud Platforms: Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.
InterImage Benefit Snapshot:
• 401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay
• PTO: 20 days per year
• Healthcare, dental, vision, Free for a single participant
• $50,000 Life insurance provided, additional voluntary life insurance available
#CJ
Clearance Level:
TS/SCI FSP
Job Location:
Annapolis Junction, MD

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