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Remote Ai Math Teacher Jobs in California (NOW HIRING)

Remote Role Responsibilities * Write original and advanced IMO-style mathematics problems to challenge frontier AI models. * Evaluate AI-generated solutions for correctness, clarity, and style.

No prior AI experience is required--your legal expertise, analytical skills, and regulatory ... Experience teaching law or legal writing at an accredited law school is a plus. * Editorial ...

No prior AI experience is required--your legal expertise, analytical skills, and regulatory ... Experience teaching law or legal writing at an accredited law school is a plus. * Editorial ...

No prior AI experience is required--your legal expertise, analytical skills, and regulatory ... Experience teaching law or legal writing at an accredited law school is a plus. * Editorial ...

Cinematic AI Specialist

Burbank, CA · On-site +1

$55 - $75/hr

Teach engaging online classes, workshops, and critiques. * Introduce students to AI-powered ... Remote instruction and project-based learning * Collaborative creative environment New York Film ...

Showing results 21-40

Remote Ai Math Teacher information

What skills and qualifications are needed to thrive as a remote AI math teacher?

To thrive as a Remote AI Math Teacher, you need a solid background in mathematics, teaching experience (often with a math-related degree), and familiarity with AI concepts. Proficiency in online teaching platforms, digital whiteboards, and learning management systems is typically required, along with certifications in teaching or educational technology. Strong communication, adaptability, and the ability to engage and motivate students remotely are standout soft skills. These qualifications ensure effective virtual instruction, foster student understanding, and maximize the use of AI-driven educational tools.

What is a remote AI math teacher?

A Remote AI Math Teacher is an educator who teaches math to students online, often utilizing artificial intelligence tools to personalize instruction, assess student progress, and provide interactive learning experiences. This role may involve working with educational platforms, designing lessons that adapt to individual student needs, and leveraging AI-driven analytics to improve outcomes. Remote AI Math Teachers can work with students from various locations, making math education more accessible and tailored to each learner's pace and style.

How does a remote AI math teacher typically collaborate with other educators and support staff?

As a Remote AI Math Teacher, you will regularly collaborate with curriculum developers, technical support teams, and fellow educators to ensure that lesson content is accurate, engaging, and tailored to students' needs. Communication often takes place through virtual meetings, shared digital platforms, and collaborative lesson-planning tools. This teamwork helps integrate the latest AI-driven teaching strategies and ensures that students receive consistent support across different subjects and learning modules.

What are the most commonly searched types of Ai Math Teacher jobs in California?

The most popular types of Ai Math Teacher jobs in California are:

What job categories do people searching Remote Ai Math Teacher jobs in California look for?

The top searched job categories for Remote Ai Math Teacher jobs in California are:

What cities in California are hiring for Remote Ai Math Teacher jobs?

Cities in California with the most Remote Ai Math Teacher job openings:

Software Engineer - AI Platform (US)

genious ai

Santa Clara, CA • On-site, Remote

Full-time

PTO

Re-posted 8 days ago


Job description

About us
We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch.
Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We're looking for software engineers with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use.
As an engineer at Genios, you'll focus on making minimum loveable products powered by AI-building scalable, reliable, and user-friendly systems. You'll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation.
We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority.
Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Key Responsibilities
  • Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
  • Integrate model training, evaluation, deployment, and monitoring into product workflows
  • Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
  • Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
  • Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
  • Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
  • Work across the stack-from backend systems to product SDKs-to deliver AI features directly into user-facing applications.
  • Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
  • Own critical product components and take responsibility for delivering robust, production-grade features.
  • Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
  • Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.

Qualifications
  • BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience.
  • Strong software engineering background with proven experience shipping production systems.
  • 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
  • Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
  • Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
  • Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems.
  • Experience building and scaling backend platforms, APIs, and microservices.
  • Comfortable working full-stack, from model APIs down to user-facing integrations.
  • Have shipped AI features that users actually use; production experience over theoretical knowledge.
  • Track record of building reliable products with strong attention to detail and usability.
  • Autonomous and excited about taking ownership over major initiatives.
  • Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.

Bonus Points
  • Production experience with LLMs (APIs or custom implementations) at meaningful scale.
  • Experience building agentic systems or LLM-enabled products.
  • Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks.
  • Experience with performance optimization and high-scale document indexing systems.
  • Prior startup experience, grit, and ability to thrive in fast-moving environments.
  • Familiarity with databases and comfortable writing SQL queries.

Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Perks
  • Competitive Compensation
  • Unlimited PTO
  • AI Assistants for work (Coding, General Purpose, etc.)