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How much do urgently hiring artificial intelligence testing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for urgently hiring artificial intelligence testing in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Urgently Hiring Artificial Intelligence Testing vs Data Scientist?

AspectUrgently Hiring Artificial Intelligence TestingData Scientist
Required CredentialsRelevant certifications in AI, machine learning, or data analysisDegree in computer science, statistics, or related field; often advanced degrees
Work EnvironmentTech companies, AI labs, or R&D teams focusing on AI model evaluationData-driven roles across industries, including finance, healthcare, and tech
Employer & Industry UsagePrimarily in AI development and testing firms or departmentsAcross various sectors utilizing data analysis and modeling

Urgently Hiring Artificial Intelligence Testing focuses on evaluating and validating AI models, requiring specialized testing skills. Data Scientists analyze data, develop models, and interpret results. While both roles involve data and AI, testing roles emphasize validation and quality assurance, whereas Data Scientists focus on model development and insights.

What cities are hiring for Urgently Hiring Artificial Intelligence Testing jobs?

Cities with the most Urgently Hiring Artificial Intelligence Testing job openings:

What are the most commonly searched types of Artificial Intelligence Testing jobs?

The most popular types of Artificial Intelligence Testing jobs are:

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Urgently Hiring Artificial Intelligence Testing jobs near you
Infographic showing various Urgently Hiring Artificial Intelligence Testing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $39,807 per year, or $19.1 per hour.

Artificial Intelligence

BridgeNexus Technologies Inc

Los Angeles, CA • On-site

Other

Posted 12 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

    Apply