Ubuntu Data Annotator - 4 weeks (LLM Training project) job opportunity at Gramian Consultancy.

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Date2026-02-12T12:49:33.416Z bot
Gramian Consultancy Ubuntu Data Annotator - 4 weeks (LLM Training project)
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About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for hands-on Ubuntu desktop users to help refine multimodal datasets for AI training. This role involves replaying real computer tasks inside an Ubuntu environment, capturing accurate screenshots, and producing PyAutoGUI-style action annotations step-by-step. This is not a coding or engineering role. It requires excellent computer usage skills, patience, and strong attention to detail. Commitments Required: 6-8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks Location: Argentina,Mexico,Pakistan,South Africa,Brazil,India Interview: take home assessment (setting up VM, and doing several tasks to imitate the project responsibilities) Your Daily Responsibilities Navigate and explore operating systems (e.g., Windows or macOS) to complete guided tasks. Follow clear, step-by-step instructions provided by the team. Observe how the system behaves when tasks are performed. Record actions, results, and observations accurately in annotation tools. Flag unexpected behavior or issues using predefined guidelines. Maintain consistency and quality across repetitive tasks. Proficient with Ubuntu Desktop (file management, navigation, system settings, basic file paths). Hands-on experience with Chrome, VLC, LibreOffice (Writer/Calc/Impress), GIMP, Thunderbird, VS Code . Ability to accurately match screenshots to next-step actions and identify UI elements precisely. Comfortable writing simple JSON and clear screen-state descriptions with logical step-by-step reasoning. Detail-oriented, patient, consistent, and able to follow structured guidelines and repetitive GUI workflows.

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