AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. That is why Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses.
If you love a challenge, have experience leading teams in a fast-paced operational environment, passionate about upskilling and empowering through training, we want you on our team.
We need an individual who thrives in a dynamic, fast-paced environment with the capacity and experience to lead a team of training managers in defining the learning strategy and then follow through to deliver impactful business results through implementation and delivery of the training at each site. In addition, this individual will run training programs to continuously improve the training processes and training efficiency. The ideal candidate will have a strong background in training and development, experience with AI or data-driven environments, ability to lead and motivate a diverse team and run programs independently with global stakeholders.


Key job responsibilities
KEY JOB RESPONSIBILITIES
• Team Leadership:
o Lead, mentor, and manage a team of trainers responsible for human input and data annotation for AI systems.
o Foster a collaborative, inclusive, and high-performance culture within the team.
o Conduct regular performance evaluations and provide constructive feedback.
• Training Curriculum Development:
o Design and implement training programs in collaboration with the Learning Experience Design team to improve the quality and efficiency of human input processes.
o Develop best practices and standard operating procedures (SOPs) for training activities.
o Ensure training programs are aligned with the latest advancements in AI and meet organizational goals and customer needs.
• Quality Assurance:
o Monitor the quality of human input data and annotations to ensure accuracy and consistency of the trained individuals.
o Implement quality control measures to reduce errors and optimize data integrity.
o Collaborate with AI engineers and data scientists to refine training processes based on feedback and model performance.
• Process Improvement:
o Continuously evaluate and improve training methodologies and processes.
o Identify and implement innovative approaches to enhance training effectiveness and efficiency.
o Stay updated on industry trends and emerging technologies related to AI training.
• Stakeholder Collaboration:
o Work closely with Operations, workforce management, quality to understand training needs and align them with project objectives.
o Communicate effectively with stakeholders to gather requirements, provide updates, and address concerns.
o Advocate for the training team’s needs and priorities within the broader organization.