Data Encoder (AI/Data Annotation)

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:

• Your most updated

resume

, and

• 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]”

• 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.