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Data Encoder (AI/Data Annotation)

Posted November 10, 2025

Job Overview

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).
  • Hit daily throughput targets without sacrificing quality (we measure both).
  • Flag edge cases, suggest clarifications, and help improve labeling rubrics.
  • Keep meticulous records of work done (batches, versions, timestamps).

What you’ll bring

  • Proven experience in data encoding/annotation or adjacent ops roles.
  • Strong English and keen eye for detail; comfortable with style guides.
  • AI-proficient (e.g., ChatGPT and similar) and savvy with prompts/workflows.
  • Spreadsheet fluency (Google Sheets/Excel); comfort with ticketing tools.
  • Process-driven mindset: you follow the playbook, then help improve it.
  • 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
  • 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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