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.
✅ Key Responsibilities
Project &amp; Operations Management
<ul>
<li>Take ownership of end-to-end operations for large-scale data annotation/labeling projects across languages.</li>
<li>Run pilots successfully and transition them into scaled delivery models.</li>
<li>Handle day-to-day operations: execution, driving daily volumes, tracking progress, flagging risks, and daily client/internal reporting.</li>
<li>Set clear
goals, targets, KPIs and KRAs
for the team and ensure consistent achievement.</li>
<li>Work closely with the product/tech team to improve workflows, tools, and productivity.</li>
<li>Proven ability to drive tightly controlled operational metrics with SLA adherence.</li>
<li>Strong process orientation and business acumen.</li>
</ul>
Quality &amp; Training
<ul>
<li>Build and manage QA processes (Dedicated QA teams / distributed QA model).</li>
<li>Analyse training needs and conduct training sessions for teams on tools, guidelines &amp; quality expectations.</li>
<li>Ensure feedback loops are set and corrective actions are implemented promptly.</li>
<li>Continuously optimize quality, productivity and process efficiency.</li>
</ul>
People &amp; Stakeholder Management
<ul>
<li>Manage and mentor a young team of editors, annotators, reviewers and leads (50–300+ workforce scale).</li>
<li>Demonstrate strong people engagement, motivation and team-building skills.</li>
<li>Liaise with foreign clients (primarily US) professionally for updates, alignment and escalations.</li>
<li>Vendor management for external language support (foreign languages + regional languages).</li>
</ul>
Process Excellence &amp; Improvement
<ul>
<li>Suggest improvements at every level of operations—people, tools, SOPs, QC, training and delivery framework.</li>
<li>High sense of ownership with a strong bias for action and ability to work in dynamic &amp; unstructured environments.</li>
</ul>
📊 Technical Skills Required
<ul>
<li>Advanced Excel &amp; Google Sheets expertise
– including formulas, dashboards, pivot tables, reports, data modeling.</li>
<li>Experience using
scripts/macros/automations
for process efficiency (Google Scripts, Basic Python, or Excel VBA advantage).</li>
<li>Strong analytical skills &amp; comfort with data-driven decision making.</li>
<li>Familiarity with annotation tools, workforce management systems, QC systems (added advantage).</li>
<li>Bonus: Experience in AI/ML data ops, content moderation, transcription, or linguistic projects.</li>
</ul>
🎯 Eligibility &amp; Preferred Background
<ul>
<li>4–7 years in Operations Management, Project Management or Data/Annotation Ops.</li>
<li>Ability to work across cross-functional teams including Product, QA, HR, and Clients.</li>
<li>Strong communication skills –
impeccable English
(spoken + written). Hindi preferred.</li>
<li>Bachelor’s or Master’s degree from a reputable institution.</li>
</ul>

General Manager Operations – AI Data Annotation Projects

General Manager Operations – AI Data Annotation Projects

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