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: kenneth.joseph@globalpacificsupport.com Subject line: “Data Encoder – [Your Name]”