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$94.5K

How much do ai math job jobs pay per year?

As of Jul 12, 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 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

Senior Data Analytics Engineer

Hyperbolic Labs

San Francisco, CA • On-site

$124K - $169K/yr

Full-time

Re-posted 19 days ago

Job description

Who We Are
Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.
As we prepare for growth after our Series A, our team - led by co-founders with PhDs in AI, Math, and Computer Science - is poised to redefine computing.
About the Role
We're seeking our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace. This is a high-impact role where you'll work directly with leadership to define, build, and deliver the critical metrics that drive business decisions across the company. You'll bridge the gap between our highly technical AI infrastructure and business needs, transforming complex data into actionable insights.
As a data-heavy compute marketplace business, we need someone who can understand the nuances of our marketplace, work independently to produce accurate metrics, and communicate insights clearly to stakeholders. You'll have the opportunity to shape our data analytics function from the ground up, with a clear path to growing into a leadership role as the team expands.
Who You Are
  • 4-8 years of experience in data analytics, preferably at a technical startup with a small analytics team where you had significant ownership
  • Strong SQL and Python scripting skills for data manipulation and analysis
  • Expert at data debugging and ensuring data correctness with a proactive approach to data health
  • Experience with dashboard development and business intelligence tools (Hex, Metabase, PostHog, or similar)
  • Exceptional attention to detail with consistent review and improvement of data systems
  • Strong communication and collaboration skills with the ability to articulate complex data insights to leadership
  • Experience working with highly technical teams and understanding technical business models
  • Proactive in seeking clarification when needed and comfortable navigating ambiguity
  • Ability to accept direct feedback and continuously improve

Preferred Qualifications
  • Experience in GPU compute infrastructure or cloud computing space
  • Background in AI infrastructure or related technical domains
  • Data engineering skills or familiarity with data pipeline development
  • Experience at high-growth, early stage, technical companies

Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply