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Insurance Learning Development Jobs in Seattle, WA

McGranahanPBK employees areoffered medical, dental, and vision insurance, an employee assistance program, a learning & development program, and an employee referral bonus program. A Health Savings ...

McGranahanPBK employees areoffered medical, dental, and vision insurance, an employee assistance program, a learning & development program, and an employee referral bonus program. A Health Savings ...

Intake Representative

Redmond, WA · On-site

$24 - $30/hr

Company Paid Life Insurance & short-term disability * Employee Assistance programs to help with mental health / wellness * Learning & Development Programs * Perks... includes discounts on travel ...

Insurance Coverage Attorney

Seattle, WA · On-site

$130K - $220K/yr

The Firm recognises the value of investing in our people's development and believes our culture and ... With a culture of on-the-job and experiential learning, peer to peer learning, mentoring, resources ...

Company paid life insurance and short-term disability * Employee Assistance programs to help with mental health / wellness * Learning & Development Programs * Perks... includes discounts on travel ...

Medication Aide MC

Seattle, WA · On-site

$22.50 - $25/hr

Our leadership team will support you in multiple ways such as: learning & development, mentorship ... Voluntary Pet Insurance Plan Apply today and come be part of our community! #LI-AS1 #LI-ONSITE ...

McGranahanPBK employees are offered medical, dental, and vision insurance, an employee assistance program, a learning & development program, and an employee referral bonus program. A Health Savings ...

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Insurance Learning Development information

See Seattle, WA salary details

$15

$46

$95

How much do insurance learning development jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for insurance learning development in Seattle, WA is $46.53, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $79.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Insurance Learning Development, and why are they important?

To excel in Insurance Learning Development, you need a solid understanding of insurance products, adult learning principles, and instructional design, typically backed by a degree in education, business, or a related field. Familiarity with learning management systems (LMS), e-learning authoring tools, and certifications such as CPLP or L&D-focused credentials are commonly required. Excellent communication, creativity, and the ability to adapt training methods to diverse audiences will help you stand out. These skills ensure effective training delivery that enhances employee performance and supports organizational compliance and growth.

What is the difference between Insurance Learning Development vs Insurance Training Coordinator?

AspectInsurance Learning DevelopmentInsurance Training Coordinator
CertificationsTypically requires industry certifications and instructional design credentialsMay require basic insurance or training certifications
Work EnvironmentDesigns and develops training programs, often in corporate or educational settingsCoordinates and delivers training sessions, often within insurance companies or agencies
Employer & Industry UsageUsed by insurance companies, corporate training firms, and educational institutionsCommonly employed by insurance firms, brokerages, and training providers

Insurance Learning Development focuses on creating and implementing comprehensive training programs, often involving instructional design and curriculum development. In contrast, an Insurance Training Coordinator primarily manages the delivery and coordination of training sessions. Both roles support employee education but differ in scope and responsibilities.

What are the main challenges faced by professionals in Insurance Learning Development, and how can they be addressed?

Professionals in Insurance Learning Development often face the challenge of keeping training materials current with evolving regulations and complex insurance products. Additionally, engaging a diverse workforce with varying levels of experience requires innovative instructional strategies and adaptive delivery methods. Building strong collaboration with subject matter experts and regularly seeking feedback from learners can help ensure training programs are both accurate and effective. Staying updated with industry trends and leveraging technology for e-learning also supports continuous improvement in this role.

What is Insurance Learning Development?

Insurance Learning Development refers to the processes and strategies used to train, educate, and develop skills for employees within the insurance industry. This includes creating training programs, managing e-learning platforms, and ensuring staff stay current with regulations and industry best practices. Professionals in this field work closely with subject matter experts to design courses on topics like underwriting, claims management, compliance, and customer service. The goal is to enhance employee performance, maintain compliance, and improve overall organizational effectiveness.
What are popular job titles related to Insurance Learning Development jobs in Seattle, WA? For Insurance Learning Development jobs in Seattle, WA, the most frequently searched job titles are:
Machine Learning Scientist Intern (Global E-Commerce Content Recommendation) - 2026 Summer (PhD)

Machine Learning Scientist Intern (Global E-Commerce Content Recommendation) - 2026 Summer (PhD)

TikTok

Seattle, WA • On-site

$57/hr

Temporary, Internship

Medical, Life

Re-posted 13 days ago


TikTok rating

7.6

Company rating: 7.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

125th of 205 rated software companies


Job description

Responsibilities
Team Introduction Global E-Commerce Content Recommendation team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven. We are looking for talented individuals to join us for an internship in 2026. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. PhD internships at Our Company provides students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). In this role, you'll have the opportunity to: - Build industry-leading recommendation system, improving user experience, content ecosystem and platform security; - Explore generative recommendation techniques, including Diffusion Models, prompt learning, and multimodal content generation, to unlock new capabilities in content discovery. - Build multi-model and cross-scenario systems enabling unified recommendation across livestreams, short videos, and search. - Deliver end-to-end machine learning solution to address critical product challenges; - Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance. - Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.
Qualifications
Minimum Qualifications: - Currently pursuing a PhD with a background in computer science, machine learning, or similar fields; - Good knowledge of theoretical and empirical research in addressing research problems; - Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch,TensorFlow) and familiarity with deep neural network architectures. Preferred Qualifications: - Research experience in one or more of the following fields: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product; - Strong first-author publications record in top AI conferences or journals(e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.); - Proficient in C/C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design; - Internship experience in an AI research organization. Privacy Statement By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
Job Information
[For Pay Transparency]Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $57- $57.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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