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Intern Ai Math Analyst Jobs in Houston, TX (NOW HIRING)

YO AI Labs

Mathematics Expert - Remote

Houston, TX · Remote

$80 - $90/hr

... analyses, and justifications. * Apply research methodologies to develop and verify mathematical concepts. * Contribute high-quality mathematical content for AI training and evaluation. * Communicate ...

New

YO AI Labs

Mathematics Expert - Remote

Houston, TX · Remote

$80 - $90/hr

... analyses, and justifications. * Apply research methodologies to develop and verify mathematical concepts. * Contribute high-quality mathematical content for AI training and evaluation. * Communicate ...

New

Tranquil Clinical Research

Research Intern

Webster, TX · On-site

The Intern will perform a variety of research, database and clerical duties of a routine and ... Work requires organizational skills, knowledge of basic mathematical, data collection and analysis ...

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All JobsIntern Ai Math Analyst JobsIntern Ai Math Analyst Jobs in Houston, TX

Intern Ai Math Analyst information

See Houston, TX salary details

$11

$21

$40

How much do intern ai math analyst jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for intern ai math analyst in Houston, TX is $21.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $23.41 per hour, depending on experience, location, and employer.

What is the difference between Intern Ai Math Analyst vs Intern Data Scientist?

AspectIntern Ai Math AnalystIntern Data Scientist
Required CredentialsMath, Computer Science, or related field; some programming knowledgeStatistics, Computer Science, or related field; programming skills often required
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, research institutions
Employer & Industry UsageAI development, machine learning projectsData analysis, predictive modeling, data-driven decision making

Intern Ai Math Analysts focus on applying mathematical models to AI projects, often involving machine learning algorithms. Intern Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require strong math and programming skills, Intern Ai Math Analysts are more specialized in AI and algorithms, whereas Intern Data Scientists emphasize data analysis and statistical methods.

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For Intern Ai Math Analyst jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Intern Ai Math Analyst jobs in Houston, TX look for?

The top searched job categories for Intern Ai Math Analyst jobs in Houston, TX are:

What cities near Houston, TX are hiring for Intern Ai Math Analyst jobs?

Cities near Houston, TX with the most Intern Ai Math Analyst job openings:

Intern Ai Math Analyst jobs near you
Infographic showing various Intern Ai Math Analyst job openings in Houston, TX as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $44,701 per year, or $21.5 per hour.

AI System Analyst (AI Monte Carlo)

Saransh Inc

Houston, TX • On-site

Contractor

Re-posted 19 hours ago

Job description

Role: AI System Analyst (AI Monte Carlo)
Client address: Houston, TX (Hybrid)
Contract
 
Experience Required: 10-12 years
 
Mandatory skills:
  • AI Monte Carlo
  • Python
     
Key Responsibilities:
  • Solution Architecture: Design and implement advanced Monte Carlo simulation frameworks to solve complex probabilistic problems (e.g., risk assessment, optimization, or predictive forecasting).
  • Client Engagement: Lead discovery sessions with clients to extract and define technical requirements from high-level business goals.
  • Cross-Functional Collaboration: Serve as the primary technical liaison between functional business units and core engineering teams to ensure alignment on deliverables.
  • End-to-End Delivery: Own the full lifecycle of AI development—from algorithmic design and data modeling to deployment and performance tuning.
  • Mentorship & Leadership: Provide technical guidance to junior/mid-level developers while maintaining the self-sufficiency to handle critical individual contributor tasks in agile environments.
Technical Qualifications:
  • Core AI & Math: Expert knowledge of Monte Carlo methods (MCMC, Sequential Monte Carlo, Quasi-Monte Carlo) and their application in AI/ML environments.
  • Programming: Mastery of Python or C++ (high-performance computing experience is a major plus).
  • Infrastructure: Solid understanding of cloud-based AI deployment (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
  • Strategic Thinking: 10+ years of experience navigating the trade