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Training Specialist II, OPTIMA

Amazon is hiring a Training Specialist II, OPTIMA in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include training delivery, instructional design and program management.
  • Level classifies it as a mid-level role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Design and execute training programs for data annotation and LLM lifecycle operations within a global team.

training-deliveryinstructional-designprogram-managementdata-analysis
OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages.

The Training Specialist II is a high-ownership individual contributor within Optima’s Training & Development organization, responsible for designing, executing, and continuously improving training programs that drive measurable business outcomes across 2 assigned programs. This role operates at the intersection of operational excellence and data-driven decision making β€” requiring the ability to independently translate business challenges into structured training solutions that deliver measurable impact within assigned programs.

The ideal candidate is a confident and credible partner to senior stakeholders, a detail-oriented operator who builds for quality and consistency, and a performance-focused professional who holds themselves and their programs to high standards. They are comfortable presenting at Global WBRs and MBRs, navigating cross-functional complexity, and driving alignment across Ops, Quality, MOSAIC, SWOT, and Account Management teams

Key job responsibilities
- Design and implement end-to-end training programs for 2 processes β€” including new hire onboarding, cross-training, upskilling, and refresher programs β€” that target measurable improvements in quality, throughput, and DA readiness
- Own the full training lifecycle for assigned programs: SOP review, training plan creation, session delivery, OJT, CCS, and production sign-off
- Lead UATs and pilot annotation requests independently, partnering with Account Managers to ensure training readiness ahead of program launches
- Proactively identify and clear training blockers β€” escalating risks to leadership with clear recommendations rather than problems alone
- Define and document launch readiness criteria, ensuring all dependencies are cleared before training begins
- Partner with PMs, Account Managers and Ops leaders to define ramp plans, success metrics, and go/no-go checkpoints
- Own the tracking, standardization, and reporting of all training metrics β€” including learner satisfaction, post-training quality, ramp-to-production timelines, and assessment performance
- Deep dive into training process data to identify root causes of quality shortfalls and design targeted interventions; track improvement outcomes against baseline
- Own all status communications for assigned programs, including flashes, fortnightly stakeholder updates, and leadership emails β€” ensuring timely, accurate, and audience-appropriate messaging
- Present training outcomes, risks, and recommendations at WBRs and MBRs with confidence and data-backed narratives
- Identify opportunities to automate, scale, or innovate training delivery

Basic qualifications

- Experience focused on Adult Learning Theory, including 1) virtual training facilitation and dealing with remote teams, and 2) delivering Soft Skills, Technology Skills and/or Technical or other Systems training
- Bachelor's degree or equivalent, or 2+ years of equivalent experience

Preferred qualifications

- Experience in project management

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.

How we rate this

Training Specialist II, OPTIMA at Amazon rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Training DeliveryInstructional DesignProgram ManagementData Analysis

Questions you could be asked

  1. Tell me about a project where training delivery was part of your work. What did you do?
  2. Tell me about a project where instructional design was part of your work. What did you do?
  3. Tell me about a project where program management was part of your work. What did you do?
  4. Tell me about a project where data analysis was part of your work. What did you do?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: Training Delivery, Instructional Design, Program Management, and Data Analysis. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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