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Trust & Safety Transformation Lead - AI & Content

Job in 400001, Mumbai, Maharashtra, India
Listing for: Latinum HR Solutions
Full Time position
Listed on 2026-08-31
Job specializations:
  • IT/Tech
    Change Management, AI Business & Operations, Business Systems & Technology Analysis
  • Business
    Change Management, AI Business & Operations, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 2500000 INR Yearly INR 2500000.00 YEAR
Job Description & How to Apply Below
About Latinum    Latinum is hiring for a leading global technology consulting and business process services organization, supporting global clients through   digital transformation, AI-led innovation, operational excellence, and business process and managed services   . The organization is seeking an experienced   Transformation Lead – Trust & Safety   to drive transformation across   Trust & Safety, Content Moderation, Data Annotation, Localization, and AI Training Data operations   .

About the Role
The   Transformation Lead – Trust & Safety   will lead end-to-end transformation initiatives across Trust & Safety operations, helping transition manual and reactive workflows into   scalable, AI-led, automated, compliant, and Human-in-the-Loop (HITL) operating models   .
The role will partner with   Operations, QA, Technology, and Business stakeholders   to identify opportunities, improve operational performance, develop transformation roadmaps, and support   solutioning, RFPs/RFIs, and client engagements   .

Experience:

8–14 Years

Location:

Kolkata / Mumbai, India

Employment Type:

Full-time
CTC:
Up to ₹25 LPA (based on experience and relevant expertise)

Key Responsibilities
Lead   AI-led transformation   across Trust & Safety, Content Moderation, Data Annotation, Localization, and AI Training Data workflows.
Identify process inefficiencies and improve   quality, accuracy, SLA adherence, productivity, and operational efficiency   .
Design and implement   automation and Human-in-the-Loop (HITL)  models.
Translate Trust & Safety policies into   operational workflows, moderation processes, and annotation guidelines   .
Identify abuse patterns, harmful-content trends, emerging risks, and operational gaps.
Collaborate with Technology/AI teams on   tools, platforms, automation, and model performance   .
Generate data-driven insights to improve   AI model performance and operational outcomes   .
Develop   transformation roadmaps, solution approaches, and implementation plans   .
Support   RFP/RFI responses, solutioning, client workshops, and presentations   .
Partner with Operations, QA, Technology, and Business teams to deliver transformation outcomes.
Present recommendations and transformation outcomes to   internal leadership and external stakeholders   .

Required Experience & Skills
8–14 years   of overall experience in BPO/BPM, operations, transformation, program management, or related business process environments.
Relevant experience in   Trust & Safety, Content Moderation, Data Annotation, AI Training Data, Localization, Content Operations, or Data Operations   .
Experience in   AI-led transformation, automation, process improvement, or operational transformation   .
Understanding of the   AI training data lifecycle   and content moderation workflows.
Exposure to   Human-in-the-Loop (HITL), annotation tools, moderation platforms, and AI/ML ecosystems   .
Strong process improvement mindset;
Lean/Six Sigma   exposure is preferred.

Experience with   Excel, BI dashboards, analytics, and operational metrics   .
Exposure to   RFP/RFI, solutioning, transformation roadmaps, or client-facing engagements   is preferred.
Strong understanding of   quality, SLA, productivity, compliance, and operational performance metrics   .

Leadership Competencies
Strong   stakeholder management, communication, and presentation   skills.
Ability to translate operational challenges into   practical AI-led solutions   .
Strong analytical, problem-solving, and transformation leadership capabilities.
Ability to work effectively across   Operations, QA, Technology, and Business teams   .
Ability to work responsibly within   sensitive content and Trust & Safety environments   .
Education
Bachelor’s degree in any discipline;
Analytics, Technology, Business, or related fields preferred   .

Interested candidates can share their resume at  &
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