ZipRecruiter

Log In

1

Ai Math Trainer Jobs in Berkeley, CA (NOW HIRING)

Hyperbolic Labs

VP of Engineering

San Francisco, CA · On-site

$212K - $273K/yr

As we prepare for growth after our Series A, our team - led by co-founders with PhDs in AI, Math ... Drive platform reliability and performance for AI training and inference workloads * Partner ...

Eloquent AI

AI Engineer, Multimodal LLMs

San Francisco, CA · On-site

$93K - $124K/yr

Refine training paradigms for real-world applications * Integrate AI agents with enterprise systems ... Solid mathematical foundation of machine learning and deep learning techniques Bonus Points If.

Capital One

Applied Researcher II

San Francisco, CA

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Sciforium

LLM Training Engineer

San Francisco, CA · On-site

$155K - $220K/yr

About the Role As an LLM Training Engineer , you'll work across the full foundation-model stack ... MS or PhD in Computer Science, Machine Learning, AI, Mathematics, or related field Benefits include

Capital One

Applied Researcher II

San Francisco, CA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher I

San Francisco, CA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher I

San Francisco, CA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher I

San Francisco, CA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher I

San Francisco, CA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher II

San Francisco, CA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Highlight AI

Head of AI

San Francisco, CA · On-site

$250K - $350K/yr

Lead the full ML project lifecycle: data pipelines, training, evals, deployment, monitoring ... Master's or PhD in Computer Science, Machine Learning, Statistics, Applied Math or equivalent ...

next page

Showing results 1-20

All JobsAi Math Trainer JobsAi Math Trainer Jobs in Berkeley, CA

Ai Math Trainer information

See Berkeley, CA salary details

$16

$30

$44

How much do ai math trainer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for ai math trainer in Berkeley, CA is $30.29, according to ZipRecruiter salary data. Most workers in this role earn between $22.98 and $32.36 per hour, depending on experience, location, and employer.

What are some typical daily responsibilities of an AI Math Trainer?

As an AI Math Trainer, your typical day involves curating and creating high-quality mathematical content, annotating datasets, and designing training materials to enhance the performance of mathematical AI models. You may collaborate closely with data scientists, AI engineers, and product teams to identify gaps in AI understanding and tailor your training resources accordingly. Reviewing model outputs for accuracy and providing detailed feedback are also important aspects of the role. This position offers a dynamic work environment that blends technical expertise with educational oversight, allowing you to directly impact the development and improvement of advanced AI solutions.

What is an AI Math Trainer job?

An AI Math Trainer is responsible for developing, curating, and refining mathematical problems and solutions to train AI models. They ensure that AI systems understand and generate accurate mathematical reasoning by reviewing datasets, annotating problems, and validating AI-generated responses. This role requires strong math skills, attention to detail, and the ability to work with AI development teams. AI Math Trainers help improve AI's ability to handle mathematical concepts across various difficulty levels.

What are the key skills and qualifications needed to thrive in the Ai Math Trainer position, and why are they important?

To thrive as an AI Math Trainer, you need a strong background in mathematics, machine learning, and data analysis, usually supported by a degree in mathematics, computer science, or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), scripting languages (like Python), and experience with data labeling or annotation platforms is highly valuable. Excellent communication, attention to detail, and problem-solving abilities are important soft skills for this role. These skills ensure that complex mathematical concepts are accurately translated and effectively used to train AI models, leading to high-quality, reliable AI systems.

What job categories do people searching Ai Math Trainer jobs in Berkeley, CA look for? The top searched job categories for Ai Math Trainer jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Ai Math Trainer jobs? Cities near Berkeley, CA with the most Ai Math Trainer job openings:
Ai Math Trainer jobs near you
Infographic showing various Ai Math Trainer job openings in Berkeley, CA as of June 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $63,002 per year, or $30.3 per hour.

Hyperbolic Labs - Senior GPU Infrastructure Engineer

De Circle

San Francisco, CA • On-site, Remote

$127K - $173K/yr

Full-time

Posted 9 days ago

Job description

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 a Senior Infrastructure Engineer to help build and scale Hyperbolic's GPU Cloud Marketplace, by building a multi-tenancy provisioning and virtualization solution. This is a foundational role where you'll be responsible for transforming raw GPUs from diverse global suppliers into a programmable, orchestrated pool that serves thousands of AI developers and researchers. You'll work at the cutting edge of cloud infrastructure, building the core orchestration layer that enables our platform to deliver up to 75% cost savings compared to traditional cloud providers.
Who You Are
  • Deep understanding of bare-metal provisioning and lifecycle management, including IPMI/Redfish, BMC-based remote management, PXE boot, and automated OS deployment workflows
  • Deep understanding of GPU scheduling and orchestration, including GPU type awareness, memory management, topology considerations, placement strategies for multi-GPU jobs, and fragmentation minimization
  • Strong infrastructure and DevOps engineering skills with proficiency in Terraform or Pulumi, CI/CD for infrastructure, secrets management, configuration management, and observability stack implementation
  • Experience with storage and data infrastructure for AI/ML workloads, including object storage, high-IOPS block storage, and distributed file systems for training data and checkpoints
  • Proficiency with API design and cloud-init for automated provisioning and configuration
  • Solid understanding of GPU architecture, CUDA, and GPU compute optimization
  • Highly collaborative team player with excellent communication skills across technical and non-technical stakeholders
  • Proven ability to work effectively with hardware vendors and vendor engineering teams to troubleshoot issues and optimize integrations
  • Experience building and scaling cloud infrastructure or distributed systems in production environments

Apply