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Data Encoder; AI​/Data Annotation

Job in Ketchikan, Ketchikan Gateway Borough, Alaska, 99901, USA
Listing for: Genius Agency AI
Full Time position
Listed on 2026-06-07
Job specializations:
  • IT/Tech
    Data Entry, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: 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.
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
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: kenneth.jo
    Subject line: “Data Encoder – [Your Name]”

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