Video & Image Annotation Specialist - TJ / 1872675
Recruit AI
Date: 9 hours ago
City: Karachi
Salary:
PKR 130,000
per month
Contract type: Full time
Our client Opsbotree is looking for a Video & Image Annotation Specialist in Karachi
Location: Razi Road, PECHS, Block 6, Karachi (on site applications only)
We are building a dedicated Core Annotation Team to support the tagging of marketing assets (images and videos) inside our own annotation platform. This team will replace a previous outsourced annotation workflow, moving the work fully in-house through our proprietary tool.
As a Core Team Annotator, you will be one of the founding members of this function. You will not just tag assets — you will become an expert in the annotation methodology, help train and onboard additional annotators as the team scales, and act as a key point of contact between the annotation workforce and our data team on technical and edge-case issues.
Responsibilities
Location: Razi Road, PECHS, Block 6, Karachi (on site applications only)
We are building a dedicated Core Annotation Team to support the tagging of marketing assets (images and videos) inside our own annotation platform. This team will replace a previous outsourced annotation workflow, moving the work fully in-house through our proprietary tool.
As a Core Team Annotator, you will be one of the founding members of this function. You will not just tag assets — you will become an expert in the annotation methodology, help train and onboard additional annotators as the team scales, and act as a key point of contact between the annotation workforce and our data team on technical and edge-case issues.
Responsibilities
- Annotate marketing assets (static images and videos) by tagging defined Areas of Interest (AOIs), including: headline, brand, copy, call-to-action (CTA), and product placement, using our in-house annotation platform.
- Follow detailed annotation instructions and guidelines provided by the data team, applying them consistently and accurately across large volumes of assets.
- Conduct peer quality assurance (QA), reviewing other core team members' work against the annotation instructions and flagging inconsistencies (as the team scales).
- Identify and escalate edge cases or ambiguous assets that fall outside the current guidelines, documenting them clearly for review and resolution by the data team.
- Help onboard, train, and support members of the scalable (surge) annotation team when volume increases, ensuring they understand tagging standards and platform usage.
- Maintain annotation speed and throughput targets while upholding accuracy standards.
- Provide feedback on annotation instructions, edge cases, and platform usability to help continuously improve the process.
- Act as a liaison between the annotation workforce and the data team on day-to-day technical or process questions.
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