채용
Benefits & Perks
•Team events and activities
•Comprehensive health, dental, and vision insurance
•Competitive salary and equity package
•Flexible work arrangements
•401(k) matching
•Parental leave
•Healthcare
•Equity
•Flexible Hours
•Parental Leave
Required Skills
TypeScript
JavaScript
PostgreSQL
The shift for this role is Mon-Fri 17:30-21:30
AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.
We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now. Do you want to be a part of it? Then read on!
The Senior Training Specialist provides an exceptional learning experience, facilitating blended learning for the AGI-DS org. The role requires the ability to support planning, scheduling, coordination and execution of end-to-end training. The Senior Training Specialist will work closely with the Training Manager to track and drive completion of training reporting and task completion through the Learning Management System (LMS), and support Training Specialists to do the same. Senior Training Specialists also work to identify areas of improvement at a site level and to drive innovation within training approaches, with the goal to scale these innovations to the wider, global network.
- Key job responsibilities
- Facilitate classroom training following the approved curriculum.
- Actively work to maintain theoretical proficiency in assigned trainings. Maintain expertise in their current role by staying current on tools, process, procedures, and training techniques.
- Manage the classroom to ensure an organized and productive learning environment for all trainees.
- Evaluate trainee performance on a daily basis to identify opportunity areas and help improve performance accordingly.
- Ensure trainee success by providing coaching & feedback during training and providing feedback to Training Manager on trainee engagement and performance.
- Share batch-related observations with the respective Training Manager so that they can take corrective action.
- Manage relevant tasks within the Learning Management System (LMS), such as enrolment and scheduling of learners & trainings, and troubleshoot any implementation issues.
- Publish training reports as per the agreed standard/template.
- Collect the feedback on the effectiveness of the training programs/modules/content through training surveys, ongoing observations or while taking the course(s) and shares it with the relevant stakeholders.
- Communicate with the relevant stakeholders on the progress and needs of ongoing trainings.
- Develop, maintain and document new processes to continuously improve training across the network.
- Support the Training Manager with delegated tasks to drive training delivery across the team.
Basic Qualifications
- Bachelor’s degree or significant experience in education or related field
- Proficiency in English verbal and written skills
- Proficiency in German verbal and written skills
- Learning/training experience and/or certification
- Skilled in and can demonstrate experience with planning, creating, implementing, delivering and assessing various types of training
- Communication skills for the purpose of knowledge transfer and skill development, including explaining technical topics to novices and collaborating with subject matter experts and managers
- Excellent collaboration, coordination and organisation skills
- Experience with one-to-many and one-to-one communication skills in both classroom and tutorial settings
- Knowledge of adult learning and training practices
- Experience working with remote teams
- Competent user of Microsoft Office tools (Word, Excel and PowerPoint)
- Experience leading and coordinating within a group of peers
- Continuous improvement skills
Preferred Qualifications
- Demonstrated working knowledge of e Learning development tools such as Captivate, Articulate Studio/Storyline, Camtasia, Adobe Photoshop/Illustrator, or Flash
- Ability to use multiple learning methods and link appropriate methods with subject matter
- Experience working with a globally-distributed management organization
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
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Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
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Compensation
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Culture
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Management
2.1
35%
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Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
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Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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