Accenture is seeking a Trust & Safety New Associate to join their team in Hyderabad. In this role, you will help keep the internet safe and support platform companies by systematically testing, evaluating, and challenging AI systems, platforms, and generative AI content.
Responsibilities
Analyze and review user profiles, audio, videos, and text-based content.
Investigate, escalate, and resolve issues reported by users or flagged by the system.
Review, classify, or remove content according to client guidelines and understand changing client policies.
Develop and execute prompt strategies to interrogate large language models on topics related to responsible AI, including medical and legal advice.
Analyze model responses for appropriateness, inappropriateness, refusals, or disclaimers according to client definitions.
Collaborate with team members to build a comprehensive understanding of responsible AI issues based on model responses.
Required qualifications
Any Graduation.
0 to 1 years of experience.
Strong coping, emotional resilience, and stress-management skills.
Excellent comprehension and communication skills.
Ability to perform duties objectively, devoid of inherent biases or personal beliefs.
Strong attention to detail and critical thinking skills.
Preferred qualifications
Deep familiarity and passion for responsible AI, the internet, internet platforms, and internet culture.
High affinity and cultural awareness of political and social situations regarding the supported market and region.
Benefits
Active participation in Accenture's well-being support program designed specifically for the Trust & Safety community to promote individual and collective well-being.
For full details about this role, click “Apply on company site” to view the employer’s original posting.
Skills for this role
User-Generated Content ModerationContent ModerationResponsible AIPrompt EngineeringLarge Language Models
Your skill match
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A focused preparation guide, built around this job’s responsibilities and requirements.
✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01
Understand the role
What matters most
Content Review and Moderation Compliance
Accurately analyze, review, classify, and remove user profiles, audio, video, and text content strictly adhering to evolving client guidelines and policies.
AI System Interrogation and Prompt Strategy
Develop and execute targeted prompt strategies to test, evaluate, and challenge large language models and generative AI systems on sensitive topics such as medical and legal advice.
Objective Decision-Making and Bias Mitigation
Perform duties with high attention to detail and strong critical thinking, remaining completely objective and devoid of personal biases or inherent beliefs.
Complex Issue Escalation and Resolution
Investigate, resolve, and effectively relay complex content issues and model response evaluations to the broader Trust and Safety team.
Likely challenges to think through
Exposure to Sensitive and Disturbing Content
The role requires direct engagement with potentially graphic, violent, or sensitive material, posing emotional and mental stress risks. Preparation should involve building strong resilience, coping skills, and actively participating in well-being support programs.
Navigating Ambiguous AI Responses and Edge Cases
Evaluating large language model outputs for appropriateness, refusals, or disclaimers can involve nuanced gray areas. Prepare by practicing structured analysis of model behaviors against specific client definitions and guidance.
03
Practice your answers
Technical practice
How would you approach reviewing and classifying complex user-generated content against client guidelines?
What to coverDiscuss the importance of strict adherence to client policy definitions, attention to detail, and systematic evaluation of multi-format streams such as text, audio, and video.
What is the purpose of developing prompt strategies to interrogate large language models on sensitive topics?
What to coverExplain how prompt engineering is used in responsible AI to uncover model vulnerabilities, test boundary conditions in sensitive areas like medical or legal advice, and evaluate adversarial scenarios.
How do you analyze whether a large language model's response is appropriate versus when it should refuse or append a disclaimer?
What to coverAddress how candidates evaluate model outputs against predefined client guidelines, looking for indicators of harmful content, inappropriate advice, and proper disclaimer placement.
Why is objectivity critical when enforcing content moderation and responsible AI policies?
What to coverEmphasize the necessity of performing duties devoid of inherent biases, personal beliefs, or emotional reactions to ensure fair and consistent application of client rules.
How do you handle changing client policies and guidelines in a fast-paced trust and safety environment?
What to coverDescribe methods for staying updated on evolving regulations, governance policies, and industry trends in content moderation and AI safety.
What steps are involved in escalating and resolving complex content issues within a team?
What to coverExplain the process of identifying ambiguous flags, documenting findings clearly, and relaying complex cases to the broader Trust and Safety team for collaborative resolution.
Behavioural practice
Describe a situation where you had to maintain high attention to detail under tight deadlines or high-volume streams.
What to coverProvide an example using the STAR method, detailing the situation, your specific actions to stay organized and objective, and the successful resolution or outcome.
Tell me about a time when you encountered conflicting information or ambiguous guidelines. How did you decide on the correct course of action?
What to coverShare a situation where you used critical thinking and synthesis of multiple streams of information to make an objective decision, outlining the steps you took and the result.
How do you manage stress and maintain emotional resilience when dealing with challenging or sensitive tasks?
What to coverDiscuss your personal coping mechanisms, stress-management techniques, and your approach to utilizing well-being support programs to stay resilient and effective.
02
Sharpen your knowledge
Topics to prepare
Responsible AI Principles and Guidelines
Review fundamental concepts of responsible AI, model governance, and ethical frameworks. Exercise: Study public AI safety guidelines and policy documentation to understand how models handle sensitive domains like medical and legal advice. Relevance: Direct alignment with evaluating large language models and understanding client compliance policies.
Content Moderation Policy Frameworks
Understand standards and methodologies for user-generated content classification. Exercise: Review standard platform policy definitions for handling graphic, violent, or sensitive text and media. Relevance: Prepares you for reviewing, classifying, and removing online content according to strict client guidelines.
Skills to revise
Prompt Strategy Execution for LLMs
Practice crafting targeted prompts to interrogate language models for safety and appropriate boundary-setting. Exercise: Design test prompts to probe a public chatbot for inappropriate responses, refusals, or required disclaimers in sensitive query areas. Relevance: Directly matches the requirement to develop and execute prompt strategies to interrogate large language models.
Objective Content Review and Risk Escalation
Build proficiency in unbiased decision-making and structured issue escalation. Exercise: Practice analyzing mixed media streams (text and user profiles) against predefined rubrics to make objective classification and escalation decisions. Relevance: Fulfills core responsibilities regarding reviewing multi-format streams and relaying complex issues to the broader team.
04
Your preparation checklist
Review Trust and Safety Fundamentals
Completion looks like having a clear grasp of online content moderation principles, responsible AI governance, and the core responsibilities of reviewing, classifying, and escalating user-generated content.
Practice LLM Prompt Interrogation Exercises
Completion looks like drafting and testing sample prompt strategies designed to probe large language models for boundary conditions, disclaimers, and appropriate responses in sensitive domains.
Prepare Evidence of Objectivity and Critical Thinking
Completion looks like organizing structured examples or scenarios demonstrating your ability to evaluate information objectively, set aside personal biases, and follow strict client policies.
Formulate Thoughtful Employer Questions
Completion looks like preparing specific questions about team training for changing client guidelines, well-being support programs, and collaborative workflows within Accenture's Trust and Safety operations.
Availability last checked: 4 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy
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