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Urgent! Operations Manager – AI Data Annotation Projects Job | Awign

Operations Manager – AI Data Annotation Projects



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.



✅ 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.


Required Skill Profession

Computer Occupations



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