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Global Pacific Support

Data Encoder (AI/Data Annotation)

LocationPhilippines
Work moderemote
Typecontract
Company size51+ people
First seen1w ago
Last seen1d ago
About the company
Global Pacific Support is partnering with a client to scale a short-term data operation. We’re hiring Data Encoders with AI/data-annotation chops to help structure, label, and QA content for training and analytics. This is project-based for 2 weeks with a strong possibility of extension based on performance and project needs.
What you’ll do
•
Encode and label text/image data according to clear guidelines and taxonomies.
•
Use AI tools to accelerate annotation while maintaining human-level accuracy.
•
Proofread and normalize entries (grammar, style, metadata).
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Hit daily throughput targets without sacrificing quality (we measure both).
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Flag edge cases, suggest clarifications, and help improve labeling rubrics.
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Keep meticulous records of work done (batches, versions, timestamps).
What you’ll bring
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Proven experience in data encoding/annotation or adjacent ops roles.
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Strong English and keen eye for detail; comfortable with style guides.
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AI-proficient (e.g., ChatGPT and similar) and savvy with prompts/workflows.
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Spreadsheet fluency (Google Sheets/Excel); comfort with ticketing tools.
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Process-driven mindset: you follow the playbook, then help improve it.
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Reliability under tight timelines; you know how to ship accurately, fast.
Requirements
Nice to have
•
Experience with content moderation/metadata, labeling tools, or QA checklists.
•
Familiarity with basic regex or lightweight scripting for bulk ops.
•
Background in social, marketing, or content pipelines.
Engagement details
•
Type: Project-based contractor
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Duration: 2 weeks (extendable)
•
Start: ASAP
•
Location: Remote
•
Hours: Coordinated with project lead; must meet daily volume & QA targets
Benefits
How to apply
Send us the following:
1.
Your most updated resume, and
2.
A 1-minute introduction video describing your experience managing social media—highlight how you keep content, campaigns, and workflow organized and running smoothly.
Submit to: [email protected]
Subject line: “Data Encoder – [Your Name]”
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