General Manager Operations – AI Data Annotation Projects

Awign Enterprises Pvt. Ltd.; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Awign Enterprises Pvt. Ltd. is seeking an experienced Operations Manager to lead multilingual AI data annotation projects in a fast-paced environment. You will own end-to-end delivery, manage large teams, and ensure quality and SLA adherence.

Responsibilities include setting KPIs, optimizing workflows with product/tech, mentoring a 50-300+ workforce, and coordinating with US clients to align expectations and deliverables. Strong Excel/Sheets and automation skills are required.

Qualifications

• 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.
• Bachelor’s or Master’s degree from a reputable institution.

Responsibilities

• Own end-to-end operations for large-scale data annotation projects.
• Run pilots and transition them into scaled delivery models.
• Handle day-to-day operations: execution, volumes, progress tracking and reporting.
• Set goals, targets, KPIs and KRAs for the team and ensure achievement.
• Work with product/tech to improve workflows, tools and productivity.
• Drive controlled metrics with SLA adherence and strong process orientation.
• Mentor editors, annotators, reviewers and leads (50-300+ workforce).

Skills

Advanced Excel & Sheets

Automation scripting

Data-driven decisions

Operations management

Stakeholder management

Team leadership

Education

Bachelor's or Master's degree

Tools

Annotation tools

Workforce管理 systems

QC systems

Job description

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.

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.

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.
• 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.
• Bachelor’s or Master’s degree from a reputable institution.