Greek Video Annotation Specialist
Budget: ₹1,250 – ₹2,500 INR
I’m looking for a native-level Greek annotator to work directly in our browser-based platform. Your main task will be video annotation for action-recognition training: watch each clip, mark the exact start-to-end of specified actions, tag key actors or objects, and double-check temporal accuracy before submitting.
From time to time I’ll assign Greek articles or other long-form documents for entity or topic tagging, so comfort with longer texts is also important.
Deliverables
• Precise, guideline-compliant video annotations (IOU ≥ 0.8 on audit samples)
• Clean export files (JSON/CSV) generated inside the platform
• Daily progress updates via the built-in dashboard
Workflow & tools
I’ll provide a login, taxonomy, and small test batch. Once the pilot is accepted we’ll move to larger datasets. We’ll keep in touch through Slack and a weekly check-in call.
Ideal background
• Proven video labeling experience (CVAT, VIA, Labelbox, etc.)
• Excellent command of written Greek
• Ability to hit agreed throughput targets without sacrificing accuracy
If you can start within 48 hours and maintain consistent quality, please share a brief note about your previous annotation projects.
From time to time I’ll assign Greek articles or other long-form documents for entity or topic tagging, so comfort with longer texts is also important.
Deliverables
• Precise, guideline-compliant video annotations (IOU ≥ 0.8 on audit samples)
• Clean export files (JSON/CSV) generated inside the platform
• Daily progress updates via the built-in dashboard
Workflow & tools
I’ll provide a login, taxonomy, and small test batch. Once the pilot is accepted we’ll move to larger datasets. We’ll keep in touch through Slack and a weekly check-in call.
Ideal background
• Proven video labeling experience (CVAT, VIA, Labelbox, etc.)
• Excellent command of written Greek
• Ability to hit agreed throughput targets without sacrificing accuracy
If you can start within 48 hours and maintain consistent quality, please share a brief note about your previous annotation projects.