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Assistant Dentistry Artificial Intelligence Jobs

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Assistant Dentistry Artificial Intelligence information

What is the difference between Assistant Dentistry Artificial Intelligence vs Dental Assistant?

AspectAssistant Dentistry Artificial IntelligenceDental Assistant
CredentialsNone required; technical training in AI toolsDental assisting certification or diploma
Work EnvironmentDental clinics, AI development labs, healthcare tech companiesDental offices, clinics, dental practices
Employer & Industry UsageDental tech companies, healthcare providers integrating AIDental practices, clinics, hospitals
Common Search & ComparisonAI in dentistry, dental AI rolesDental assistant duties, dental support staff

The Assistant Dentistry Artificial Intelligence focuses on developing and implementing AI solutions in dental care, often requiring technical skills and familiarity with AI tools. In contrast, a Dental Assistant provides direct patient support, assists with procedures, and manages administrative tasks in dental practices. While both roles support dental health, they differ significantly in skills, work environment, and responsibilities.

More about Assistant Dentistry Artificial Intelligence jobs
What cities are hiring for Assistant Dentistry Artificial Intelligence jobs? Cities with the most Assistant Dentistry Artificial Intelligence job openings:
What are the most commonly searched types of Dentistry Artificial Intelligence jobs? The most popular types of Dentistry Artificial Intelligence jobs are:
What states have the most Assistant Dentistry Artificial Intelligence jobs? States with the most job openings for Assistant Dentistry Artificial Intelligence jobs include:
What job categories do people searching Assistant Dentistry Artificial Intelligence jobs look for? The top searched job categories for Assistant Dentistry Artificial Intelligence jobs are:
Infographic showing various Assistant Dentistry Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Artificial Intelligence

BridgeNexus Technologies Inc

Los Angeles, CA • On-site

Other

Posted 4 days ago


Job description

Hi, WE have below 2 positions with our direct client and both are hybrid position and kindly reply asap at your interest so I reach you immediately to schedule one round interview with client .
 
JOB 1:  AI Analyst with Healthcare Background
Location: Woodland Hills. CA (Commute three times in a week to Woodland Hills office)
Duration: Long term
Client: Direct client
JOB 2: AI ML Developer with Data Science experience
Location: Woodland Hills. CA (Commute three times in a week to Woodland Hills office)
Duration: Long term
Client: Direct client 
 
 
 
 
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Role
Job Description
1
AI Analyst with Healthcare Background
seeking an experienced Artificial Intelligence & Machine Learning (AI/ML) Systems Analyst to bridge the gap between business stakeholders, data scientists, AI/ML engineers, and technology teams. This role will be responsible for analyzing business problems, defining AI/ML solution requirements, evaluating data readiness, supporting model implementation, and ensuring AI solutions align with business objectives, regulatory requirements, and enterprise governance standards. The ideal candidate will possess strong analytical skills, healthcare domain knowledge, and experience working with AI, machine learning, and Generative AI technologies.

Key Responsibilities
Business & Systems Analysis
  • Collaborate with business stakeholders to identify opportunities for AI/ML-driven process improvements and automation.
  • Elicit, analyze, and document business, functional, and non-functional requirements.
  • Create user stories, process flows, use cases, data mappings, and acceptance criteria.
  • Translate business requirements into AI/ML solution specifications.
  • Support backlog grooming, sprint planning, and Agile delivery processes.
AI/ML Solution Analysis
  • Partner with AI/ML engineers and data scientists to define model objectives and success metrics.
  • Analyze data sources and determine data quality, completeness, and readiness for AI initiatives.
  • Support predictive analytics, recommendation systems, NLP, GenAI, and intelligent automation initiatives.
  • Evaluate AI model outputs and assist with validation, testing, explainability, and business adoption.
Data & Analytics