Operations Manager – AI Data Annotation Projects

Awign; Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A data operations company is seeking an Operations Manager to oversee multilingual AI data annotation projects. The ideal candidate will have 4-7 years of experience in operations or project management, with strong skills in data, team management, and client communications. Responsibilities include managing both process and people, ensuring quality standards, and leveraging tools like Excel for reporting and analytics. This full-time position is located in Greater Bengaluru Area.

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.

Responsibilities

• Lead and scale multilingual AI data annotation projects.
• Manage day-to-day operations, execution, and reporting.
• Build and manage QA processes and train teams.

Skills

Proven ability to drive tightly controlled operational metrics

Advanced Excel & Google Sheets expertise

Strong analytical skills & comfort with data-driven decision making

Experience in process efficiency using scripts/macros/automations

Education

Bachelor's or Master's degree from a reputable institution

Tools

Google Scripts

Excel VBA

Job description

Operations Manager – AI Data Annotation Projects

Direct message the job poster from Awign

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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Project Management and Consulting
• Industries: Technology, Information and Internet, Outsourcing and Offshoring Consulting, and Business Consulting and Services

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