Content Risk Analyst, ASCI

As a Sr. Prod Compliance Associate in the ASCI team you will execute AI model improvement red teaming customer feedback triage and incident monitoring tasks across Alexa experiences. You will apply judgment within established SOPs and use AI tools to support your work across non-sensitive workstreams. You will work alongside AI automation (LLM judges AI agents) as a human-in-the-loop to ensure quality and safety standards are met. Associates are expected to use AI-powered tools (e.g. LLM assistants summarizers pattern analysis tools) as a default in all workstreams except when handling customer-sensitive data which must follow security protocols in the restricted environment.

Key job responsibilities
1. AI Data Annotation Quality Auditing & Model Improvement

- Perform multi-domain data annotation and golden dataset curation for AI model improvement following established SOPs and quality benchmarks
- Validate and audit LLM judge outputs through human-in-the-loop review; use AI tools to flag patterns and anomalies
- Maintain annotation accuracy and audit throughput targets; use AI-assisted error analysis to identify systematic failures and escalate to Process Experts
- Participate in calibration exercises to ensure reviewer consistency and draft audit reports for program leads

2. Red Teaming Execution
- Execute adversarial testing across multiple Alexa experiences (Alexa Ring Automotive Kids) using AI to generate diverse attack vectors and edge cases
- Identify document and categorize policy violations safety gaps and vulnerabilities by severity and impact
- Draft red teaming documentation and vulnerability summaries ensuring findings are clearly categorized for program leads

3. Customer Feedback Triage & Analysis

- Classify and triage daily customer feedback records per SOPs using AI to pre-sort and surface emerging patterns
- Identify recurring issues escalation-worthy trends and edge cases in customer interaction data
- Handle complex cases requiring human judgment alongside AI-automated pre-filtering and routing
- Generate trend summaries and insight reports for program leads

4. Incident Monitoring & Escalation Support

- Monitor for policy violations and emerging issues per established protocols using AI to track incident patterns across workstreams
- Draft escalation tickets incident summaries and root-cause hypotheses to support cross-functional response
- Coordinate with Operations Engineering and Science teams to drive timely resolution; escalate complex cases.
- Contribute observations and incident learnings to refine SOPs tools and response playbooks

5. Process Improvement & Team Support

- Identify and propose process improvements to enhance operational efficiency using AI to prototype automation and workflow optimizations
- Draft and maintain SOPs training materials and onboarding guides using AI-assisted documentation tools
- Mentor junior associates and peers; share learnings and conduct training sessions
- Contribute to UAT for new tools (LLM judge workflows AI agent pipelines) and recommend adoption to program leads

A day in the life
You check incident alerts and prioritize escalations then move into your core work block validating LLM judge outputs curating datasets or reviewing flagged discrepancies for accuracy. You also handle customer feedback triage managing the ambiguous cases and edge cases that AI pre-sorting cant confidently classify from the days records. Other responsibilities rotate between red teaming drafting incident summaries calibration sessions or process improvements like updating SOPs and mentoring junior associates. You wrap up by logging throughput and flagging open items for the next shift.

About the team
The ASCI (AI Safety Compliance & Improvement) Programs & Operations team works at the intersection of AI quality and customer safety across Alexa experiences. Our Model Improvement & RAI CX Ops group is responsible for ensuring AI systems meet safety accuracy and policy standards through human-in-the-loop review red teaming and feedback analysis. We operate across Alexa Ring Automotive and Kids experiences combining human judgment with AI-powered tools to keep pace with rapidly evolving models and customer needs.

- Bachelors degree
- 2 years of experience in content moderation data annotation AI/ML operations or compliance operations

- Experience with AI annotation tools LLM outputs or model evaluation frameworks
- Familiarity with red teaming content safety or responsible AI operations
- Exposure to incident management or escalation handling workflows

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