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Ai Math Job Jobs (NOW HIRING)

Bank Street

Math and AI Coach-Facilitator

Manhattan, NY · On-site

$115K/yr

Position Vacancy - Math and AI Coach/Facilitator (Full-Time) Bank Street Education Center Bank Street College of Education 610 West 112th Street, New York NY 10025 To: The College Community From:

Tensordyne

Sr. ASIC EDA Workflow Engineer

Sunnyvale, CA · On-site

Tensordyne is a technology company involved in building AI math, chips, hardware, and software in order to make AI affordable and efficient. Founded in 2017, the company is headquartered in Sunnyvale ...

Weekday AI

Mathematics PhD AI Trainer

$70 - $140/hr

This role is for one of the Weekday's clients We are seeking experts with advanced training in Mathematics to contribute to a cutting-edge project in collaboration with a leading AI research group.

Outlier

Math Expertise for AI Training

Develop and answer Math-related questions to refine AI understanding * Evaluate and author complex reasoning traces to ensure models follow logical, step-by-step proofs * Assess and rank AI responses ...

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Ai Math Job information

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$22.5K

$58.8K

$94.5K

How much do ai math job jobs pay per year?

As of Aug 1, 2026, the average yearly pay for ai math job in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Math Job vs Data Analyst?

AspectAi Math JobData Analyst
Required CredentialsDegree in Mathematics, Computer Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI research labs, startupsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsagePrimarily in AI development and researchAcross various industries for data-driven decision making
Common Search & Comparison IntentUnderstanding AI-focused math rolesAnalyzing data to inform business strategies

Ai Math Jobs focus on developing algorithms and models using advanced mathematics and AI techniques, often within tech and research environments. Data Analysts interpret data sets to help organizations make informed decisions across multiple industries. While both roles require strong analytical skills, Ai Math Jobs are more specialized in AI and machine learning, whereas Data Analysts focus on data interpretation and reporting.

More about Ai Math Job jobs
What job categories do people searching Ai Math Job jobs look for? The top searched job categories for Ai Math Job jobs are:
Ai Math Job jobs near you
Infographic showing various Ai Math Job job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

AI System Analyst (AI Monte Carlo)

Saransh Inc

Houston, TX • On-site

Contractor

Re-posted 9 days 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