Data Annotation Manager

" : "

Technical Analytical Skills:

Strong proficiency in Advanced Excel / Google Sheets.

Experience with dashboards, MIS, forecasting, productivity and performance tracking.

Strong analytical and problem-solving skills.

Exposure to automation tools such as Google Apps Script, VBA, or Python is preferred.

Familiarity with AI/ML data workflows, data annotation platforms, QC systems, and workforce management tools.

Strong understanding of productivity metrics, cost-per-task models, SLA management, TAT, and quality metrics.

Experience Eligibility:

Experience: 5-9 years

Experience in Operations / Data Operations / BPO / KPO / Managed Services / Content Moderation / Data Annotation.

Minimum 2-3 years of experience managing large teams.

Proven experience managing high-volume, process-driven operations.

Experience handling multiple projects, workflows, or client programs.

Exposure to US/international clients is preferred.

Strong experience in client communication and stakeholder management.

Strong people-management and problem-solving skills.

Excellent written and verbal communication skills.

Bachelor s degree required; MBA preferred.

Preferred Background

Candidates from the following environments will be preferred:

AI Data Operations / Data Annotation

Content Moderation

BPO / KPO / Managed Services

Data Labelling / Data Collection

AI/ML Operations

Workforce Management / Gig Operations

Large-scale process operations

" , "

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.