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Remote Math Content Developer Jobs in San Francisco, CA

Planet

Data Visualization Engineer

San Francisco, CA · On-site +1

We are looking for a spatial thinker with a passion for remote sensing analysis and visual ... content to educate customers on how Planet data can meet their needs or solve their problems ...

Prisms VR

Unity Engineer (Remote)

San Francisco, CA · Remote

THE JOB Unity Developer Prisms seeks a developer with professional experience to build immersive ... STEM content. You will also support with the development of our C# platform systems. We require a ...

Mercor

Mathematics PhD - AI Researcher

San Francisco, CA · Remote

$70 - $90/hr

Remote Commitment: 4-6 tasks/week Role Responsibilities * Develop challenging problems in ... Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model ...

New

Sanity

Senior Software Engineer, AI Growth

San Francisco, CA · On-site +1

$144K - $190K/yr

... content platform. * Build agentic developer tools - ship systems that can generate Sanity apps and ... Based in Remote US or San Francisco / Bay Area - if you are in San Francisco/ Bay Area, you should ...

Prisms VR

3D Artist (Remote)

San Francisco, CA · Remote

$110K - $140K/yr

... proficiencies in Math and Science across our country and beyond. Our mission is to break down ... Collaborate with a team of content designers and developers to design rich and attractive immersive ...

TeamCivX

Client Services Associate

Orinda, CA · Remote

$40/hr

Experience with remote work and comfort working in a fully remote environment * Must be able to ... content developers, to ensure timeliness and appropriate messaging * Carefully proofreading ...

TeamCivX

Client Services Associate

Orinda, CA · Remote

$40/hr

Experience with remote work and comfort working in a fully remote environment * Must be able to ... content developers, to ensure timeliness and appropriate messaging * Carefully proofreading ...

Proxima

Senior Game Designer

San Francisco, CA · Remote

We are a remote-first studio headquartered in San Francisco, California. Core Responsibilities ... You can build the math behind the game. You are an expert at creating complex, automated ...

Eluvio

Senior Software Engineer - Video

Berkeley, CA · On-site +1

$150K - $197K/yr

The Eluvio Content Fabric provides a new and innovative decentralized video processing framework ... to remote work as well. Responsibilities * As part of the core software development team ...

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All JobsMath Content Developer JobsRemote Math Content Developer JobsRemote Math Content Developer Jobs in San Francisco, CA

Remote Math Content Developer information

See San Francisco, CA salary details

$34.8K

$137.4K

$152K

How much do remote math content developer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote math content developer in San Francisco, CA is $137,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,900.00 and $150,800.00 per year, depending on experience, location, and employer.

What is a remote math content developer?

Remote Math Content Developers are professionals who design, create, and review math educational materials, such as curriculum, lesson plans, assessments, and digital resources, while working from a remote location. They collaborate with educators, instructional designers, and other subject matter experts to ensure content accuracy, clarity, and alignment with standards. These developers often utilize technology to deliver engaging and accessible math content for students and teachers. The role requires strong mathematical knowledge, communication skills, and familiarity with educational technology tools.

How does a remote math content developer typically collaborate with curriculum teams and subject matter experts?

As a Remote Math Content Developer, you will frequently work with curriculum designers, editors, and subject matter experts to ensure that learning materials are pedagogically sound and meet educational standards. Collaboration often occurs through virtual meetings, shared documents, and project management platforms. Clear communication and responsiveness are vital, as feedback cycles can be fast-paced and iterative. You may also participate in team brainstorming sessions and review meetings to refine content and align it with overall curriculum goals.

What are the key skills and qualifications needed to thrive as a remote math content developer, and why are they important?

To excel as a Remote Math Content Developer, you typically need a strong background in mathematics, instructional design experience, and at least a bachelor's degree in math, education, or a related field. Familiarity with authoring tools (such as LaTeX, MathType, or learning management systems), as well as proficiency in online collaboration platforms, is crucial. Outstanding written communication, attention to detail, and creativity help you present complex concepts clearly and engagingly. These skills ensure the creation of accurate, accessible, and engaging math materials for diverse learners in a virtual environment.

What is the difference between Remote Math Content Developer vs Remote Math Tutor?

AspectRemote Math Content DeveloperRemote Math Tutor
CredentialsDegree in Mathematics, Education, or related fieldTypically requires a strong math background; certifications vary
Work EnvironmentDevelops curriculum, writes content, collaborates with teamsProvides one-on-one or group tutoring sessions online
Employer & Industry UsageEducational publishers, e-learning platforms, edtech companiesOnline tutoring platforms, private tutoring services
Search & Comparison IntentFocuses on content creation and curriculum developmentFocuses on personalized instruction and student support

The main difference is that Remote Math Content Developers create educational materials and curriculum content, while Remote Math Tutors provide direct instruction and support to students. Both roles require strong math skills and often involve online work, but their primary functions and work environments differ.

What are the most commonly searched types of Math Content Developer jobs in San Francisco, CA? The most popular types of Math Content Developer jobs in San Francisco, CA are:
What are popular job titles related to Remote Math Content Developer jobs in San Francisco, CA? For Remote Math Content Developer jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Remote Math Content Developer jobs in San Francisco, CA look for? The top searched job categories for Remote Math Content Developer jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Remote Math Content Developer jobs? Cities near San Francisco, CA with the most Remote Math Content Developer job openings:
Remote Math Content Developer jobs near you
Infographic showing various Remote Math Content Developer job openings in San Francisco, CA as of June 2026, with employment types broken down into 69% Full Time, 25% Part Time, and 6% Contract. Highlights an 35% Physical, 3% Hybrid, and 62% Remote job distribution, with an average salary of $137,393 per year, or $66.1 per hour.

GenAI Engineer - Remote

MM International

San Francisco, CA • Remote

Contractor

Re-posted 24 days ago

Job description

GenAI/LLM Engineer (NLP, TensorFlow, PyTorch SME)

San Francisco, Bay Area, CA

Duration: Six months may extend to 12 months

Must be in the Greater Bay area – or in California

Domain: utilities

GenAI/LLM Engineer (NLP, TensorFlow, PyTorch SME)

Implementing GenAI requires specialized expertise in large language models. Traditional data scientists often haven't had the opportunity to dive deep into the practical intricacies of LLMs—particularly advanced fine-tuning techniques, model compression strategies, memory optimization approaches, and specialized training workflows. This role requires a hands-on deep learning practitioner comfortable with modern frameworks and libraries specific to LLM development.

  • Enables domain-specific fine-tuning of models to client's unique utility context
  • Improves model performance while reducing computational costs through advanced optimization techniques
  • Creates Client-specific AI capabilities that address our unique operational challenges
  • Enables the CoE to move beyond generic AI tools to customized solutions that deliver higher business value

Key Responsibilities:

  • Implement and optimize advanced fine-tuning approaches (LoRA, PEFT, QLoRA) to adapt foundation models to client's domain
  • Develop systematic prompt engineering methodologies specific to utility operations, regulatory compliance, and technical documentation
  • Create reusable prompt templates and libraries to standardize interactions across multiple LLM applications and use cases
  • Implement prompt testing frameworks to quantitatively evaluate and iteratively improve prompt effectiveness
  • Establish prompt versioning systems and governance to maintain consistency and quality across applications
  • Apply model customization techniques like knowledge distillation, quantization, and pruning to reduce memory footprint and inference costs
  • Tackle memory constraints using techniques such as sharded data parallelism, GPU offloading, or CPU+GPU hybrid approaches
  • Build robust retrieval-augmented generation (RAG) pipelines with vector databases, embedding pipelines, and optimized chunking strategies
  • Design advanced prompting strategies including chain-of-thought reasoning, conversation orchestration, and agent-based approaches
  • Collaborate with the MLOps engineer to ensure models are efficiently deployed, monitored, and retrained as needed

Expected Skillset:

  • Deep Learning & NLP: Proficiency with PyTorch/TensorFlow, Hugging Face Transformers, DSPy, and advanced LLM training techniques
  • GPU/Hardware Knowledge: Experience with multi-GPU training, memory optimization, and parallelization strategies
  • LLMOps: Familiarity with workflows for maintaining LLM-based applications in production and monitoring model performance
  • Technical Adaptability: Ability to interpret research papers and implement emerging techniques (without necessarily requiring PhD-level mathematics)
  • Domain Adaptation: Skills in creating data pipelines for fine-tuning models with utility-specific content