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.
- Solid 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.
- 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.

📌 General Manager Operations – AI Data Annotation Projects (Bangalore Metropolitan Area)
🏢 Awign
📍 Bangalore Metropolitan Area