Operations Manager – AI Data Annotation Projects

We are looking for a high-ownership Operations Manager to lead and scale multilingual AI data annotation projects. The candidate should have strong experience in managing large-scale data/annotation operations, workforce management, client communications (including US/foreign clients), and end-to-end delivery with strong quality controls.

✅ Key Responsibilities

Project & Operations Management

• Take ownership of end-to-end operations for large-scale data annotation/labeling projects across languages.
• Run pilots successfully and transition them into scaled delivery models.
• Handle day-to-day operations: execution, driving daily volumes, tracking progress, flagging risks, and daily client/internal reporting.
• Set clear

  goals, targets, KPIs and KRAs

  for the team and ensure consistent achievement.
• Work closely with the product/tech team to improve workflows, tools, and productivity.
• Proven ability to drive tightly controlled operational metrics with SLA adherence.
• Strong process orientation and business acumen.

Quality & Training

• Build and manage QA processes (Dedicated QA teams / distributed QA model).
• Analyse training needs and conduct training sessions for teams on tools, guidelines & quality expectations.
• Ensure feedback loops are set and corrective actions are implemented promptly.
• Continuously optimize quality, productivity and process efficiency.

People & Stakeholder Management

• Manage and mentor a young team of editors, annotators, reviewers and leads (50–300+ workforce scale).
• Demonstrate strong people engagement, motivation and team-building skills.
• Liaise with foreign clients (primarily US) professionally for updates, alignment and escalations.
• Vendor management for external language support (foreign languages + regional languages).

Process Excellence & Improvement

• Suggest improvements at every level of operations—people, tools, SOPs, QC, training and delivery framework.
• High sense of ownership with a strong bias for action and ability to work in dynamic & unstructured environments.

📊 Technical Skills Required

• Advanced Excel & Google Sheets expertise

  – including formulas, dashboards, pivot tables, reports, data modeling.
• Experience using

  scripts/macros/automations

  for process efficiency (Google Scripts, Basic Python, or Excel VBA advantage).
• Strong analytical skills & comfort with data-driven decision making.
• Familiarity with annotation tools, workforce management systems, QC systems (added advantage).
• Bonus: Experience in AI/ML data ops, content moderation, transcription, or linguistic projects.

🎯 Eligibility & Preferred Background

• 4–7 years in Operations Management, Project Management or Data/Annotation Ops.
• Experience handling multilingual data projects; Tamil mandatory.
• Ability to work across cross-functional teams including Product, QA, HR, and Clients.
• Strong communication skills –

  impeccable English

  (spoken + written). Hindi preferred.
• Bachelor’s or Master’s degree from a reputable institution.