1

Ai Math Trainer Jobs in Seattle, WA (NOW HIRING)

Data and model attacks: training-data and RAG poisoning, model extraction, model inversion ... Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ ...

AI/ML Technical Lead

Bellevue, WA · On-site

$150 - $230/hr

Training & development Role: AI/ML Technical Lead Location: Fort Belvoir, VA 22060 Let's Create Our ... Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics ...

AI/ML Technical Lead

Lynnwood, WA · On-site

$130K - $155K/yr

Training & development Role: AI/ML Technical Lead Location: Fort Belvoir, VA 22060 Let's Create Our ... Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics ...

Bachelor's degree in a science, technology, engineering, or mathematics field from an accredited ... and training; licensure and certifications; and other business and organizational needs. The ...

Advance Workday's proprietary capabilities in pre-training, post-training (RLHF, DPO), and domain ... D. or Master's degree in Computer Science, Artificial Intelligence, Math, Physics, or equivalent ...

Applied AI/ML Scientist

Seattle, WA · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... training, and other athletic pursuits. Setting the bar in technical fabrics and functional design ... Bachelor's degree in computer science, machine learning, mathematics, or related field, Masters ...

Applied AI/ML Scientist

Seattle, WA · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Who we are lululemon is an innovative performance apparel company for yoga, running, training, and ... mathematics, or related field, Masters preferred 4-8 years of experience building and optimizing AI ...

Applied AI/ML Scientist

Seattle, WA · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... training, and other athletic pursuits. Setting the bar in technical fabrics and functional design ... Bachelor's degree in computer science, machine learning, mathematics, or related field, Masters ...

Principal Data Scientist: Associate AI experience

Bellevue, WA · On-site

$66K - $67K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and deploy production ML systems end-to-end: data pipelines, feature stores, model training ... Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

next page

Showing results 1-20

Ai Math Trainer information

See Seattle, WA salary details

$15

$28

$41

How much do ai math trainer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ai math trainer in Seattle, WA is $28.15, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $30.10 per hour, depending on experience, location, and employer.

What are the 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?

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 as an AI Math Trainer?

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 are the most commonly searched types of Ai Math Trainer jobs in Seattle, WA?

The most popular types of Ai Math Trainer jobs in Seattle, WA are:

What are popular job titles related to Ai Math Trainer jobs in Seattle, WA?

For Ai Math Trainer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Ai Math Trainer jobs in Seattle, WA look for?

The top searched job categories for Ai Math Trainer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Ai Math Trainer jobs?

Cities near Seattle, WA with the most Ai Math Trainer job openings:

Infographic showing various Ai Math Trainer job openings in Seattle, WA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 72% Physical, 4% Hybrid, and 24% Remote job distribution, with an average salary of $58,555 per year, or $28.2 per hour.

Principal AI Security Researcher

Microsoft

Redmond, WA • On-site

Full-time

Posted 10 days ago


Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

79th of 244 rated software companies


Job description

Overview
Security is one of the most critical priorities for our customers in a world of growing digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world safer by empowering every user, customer, and developer with a security cloud that delivers end-to-end, simplified protection. The Microsoft Security organization advances this mission by helping secure digital technology platforms, devices, and clouds across customers' heterogeneous environments, while also protecting Microsoft's internal estate. Our culture is grounded in a growth mindset, inspiring excellence, and enabling teams and leaders to bring their full potential each day.
The Microsoft Security Research (MSecR) Purple Team sits at the intersection of offense, defense, and intelligence. AI is now everywhere: organizations and people across every industry are adopting large language models, copilots, and autonomous agents, and these systems bring a brand-new attack surface that can be manipulated, misused, and exploited in ways traditional software cannot. In Microsoft Security, we protect AI from these attacks. We are looking for a Principal-level security researcher who combines a real security background with a deep, hands-on understanding of how modern AI works and how it breaks. You will help execute and conduct AI attacks through purple team simulations, using what you find to make AI safer and to inform our security products so they protect customers better.
This role is for someone who wants to shape how AI attacks are simulated and defended at scale. You will set methodology, build tooling, influence product direction, and drive innovation in attacking and defending AI systems (Security for AI).
Responsibilities
As a Principal Security Researcher, you will:
  • Lead the design and execution of purple team simulations aimed at making AI safer, conducting realistic AI attacks whose findings inform our security products and help them protect customers more effectively.

  • Develop and execute hands-on attacks against AI systems, including:

  • Direct prompt injection and jailbreaks that bypass system prompts, safety instructions, and alignment.

  • Indirect (cross-domain) prompt injection (XPIA), where malicious instructions are hidden in untrusted content the model consumes: documents, web pages, emails, tickets, code, and RAG sources.

  • Multi-turn, crescendo, and social-engineering style attacks that steer a model toward unsafe behavior over a conversation.

  • Multimodal injection through images, audio, and files that carry hidden instructions.

  • Guardrail, content filter, and safety-system bypass, including encoding, obfuscation, and adversarial phrasing.

  • Sensitive data exfiltration and leakage, including system prompt and grounding-data disclosure and cross-tenant or cross-session leakage.

  • Agentic and tool-use abuse: excessive agency, confused-deputy attacks, unsafe autonomous actions, and manipulation of tools, plugins, and connected systems.

  • Data and model attacks: training-data and RAG poisoning, model extraction, model inversion, membership inference, and adversarial examples / evasion.

  • Build scalable AI red teaming tooling and automation (custom attack harnesses and evaluation frameworks) to generate attack variations, run large evaluations, and continuously test AI systems as they change.

  • Partner with product, engineering, Responsible AI, and detection teams to translate findings into mitigations: better system prompts, input and output filters, grounding controls, agent guardrails, and detections.

  • Evaluate the effectiveness of AI defenses (detections, safety classifiers, filters, and monitoring) and provide strategic recommendations to close gaps.

  • Conduct deep research into emerging AI attacker techniques and map them to frameworks such as MITRE ATLAS and the OWASP Top 10 for LLM Applications.

  • Deliver executive-level briefings, technical reports, and prioritized, actionable recommendations.

  • Act as a technical leader: shape AI simulation methodology, mentor team members, and drive long-term innovation in Security for AI.

Qualifications
Minimum Qualifications:
  • Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
    • OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 4+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
    • OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 6+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
    • OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check:
  • This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:
  • Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 5+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
    • OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 8+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
    • OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 12+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
    • OR equivalent experience.
  • A security background: experience finding and exploiting real vulnerabilities (for example penetration testing, red teaming, vulnerability research, or application security), with an adversarial mindset.
  • Solid, practical understanding of how modern AI works: LLMs, prompting, retrieval-augmented generation (RAG), fine-tuning, and agentic / tool-using systems.
  • Hands-on experience and familiarity with agentic AI systems, red teaming harnesses, and AI tooling: building or working with agents, tool-using LLMs, orchestration and evaluation frameworks, LLM APIs, and attack harnesses.
  • Demonstrated hands-on experience attacking AI systems: prompt injection (direct and indirect), jailbreaks, guardrail bypass, data exfiltration, or agent abuse, in research or professional settings.
  • Python skills for building attack automation, evaluation harnesses, and research tooling.
  • Familiarity with AI security and safety frameworks such as MITRE ATLAS, OWASP Top 10 for LLMs and Responsible AI principles.
  • Ability to translate offensive findings into practical defenses and to communicate clearly with both engineers and executives.
  • Contributions to AI security research, publications, CTFs, or open-source AI red teaming tooling.

#MSsecurity
Security Research IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Microsoft logo

About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media