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

D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ... AI training. • An in-depth understanding of machine learning algorithms and modeling (e.g., semi ...

Required : • Bachelor's degree in computer science, machine learning, mathematics, or related ... Lululemon is a technical athletic apparel company for yoga, running, training, and other sweaty ...

SDE, AI Infrastructure, AFT AI

Bellevue, WA · On-site

$195K - $231K/yr

Design and Develop end-to-end training and inference pipelines to accelerate agentic AI model ... Mathematics, or a related field - Experience programming with at least one software programming ...

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 ...

... 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 ...

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 ...

Required : • Bachelor's degree in computer science, mathematics, or related field; Master's or ... Lululemon is a technical athletic apparel company for yoga, running, training, and other sweaty ...

... 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 ...

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How much do ai math trainer jobs pay per hour?

As of Jun 10, 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 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 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 June 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $58,555 per year, or $28.2 per hour.
AI Scientist

Full-time

Posted 4 days ago


GE HealthCare rating

8.5

Company rating: 8.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

59th of 417 rated machine equipment manufacturers


Job description

Job Summary:
GE HealthCare is committed to bringing AI and cloud-based solutions for customers in the healthcare sector. The AI Scientist will work on developing and deploying modern machine learning methods to analyze large healthcare data sets and improve clinical tasks automation.
Responsibilities:
• Developing and implementing novel machine learning algorithms particularly in the area of LLM to provide automation of clinical tasks using one or more of electronic medical records, waveforms, and clinical reports.
• Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation.
• Exploring learning from human feedback and assisting humans evaluating AI.
• Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
• Working with large-scale datasets, designing, and developing generative algorithms.
• Staying current on published state-of-the-art algorithms and competing technologies.
Qualifications:
Required:
• Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 years of relevant research OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 years of relevant research.
• Publications as first author on LLM, Agentic AI or self supervised learning (SSL).
• Demonstrated expertise in building large scale AI such as generative AI models.
• Implementation experience with a variety of high-level languages (e.g. Python, C++)
• Experience with high-dimensional imaging data and waveform/time-series data.
Preferred:
• Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
• Experience with frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc.
• Experience with various MLOps, ModelOps, FMOps (Foundation Model Ops) methods.
• Experience working with large scale AI training.
• An in-depth understanding of machine learning algorithms and modeling (e.g., semi-supervised or weakly supervised learning, generative models, transfer learning, optimization, large language models, etc.)
• Track record in developing machine learning solutions using massive real-world data for solving real world business problems.
• In depth experience with Spark/Hadoop and either PyTorch/Tensorflow
• Experience creating production environment data analytics and applications
Company:
GE Healthcare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric. Founded in 1892, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

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