About Company:
Our client is a Palo Altobased AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the Intelligent Talent Cloud,enabled companies to spin up their engineering dream team in the cloud by sourcing and managing vetted global talent.
In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deploymentpowered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.
Job Description:
Job Title: Data Annotators(Non - Coding)
Location: Pan India
Experience: 2+ yrs.
Employment Type: Contract to hire
Work Mode: Remote
Notice Period: - Immediate joiners
About the Role:
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.
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.
Requirements:
1. Reconstruct GUI Task Trajectories:
- For each provided task:
- Interpret the task instruction and text-only trajectory (Observation / Thought / Action).
- Recreate the workflow inside an Ubuntu desktop environment.
- At each step capture a clear screenshot of the current screen state.
- Write the exact PyAutoGUI action JSON for the action taken next.
- Update the thought and observation, likewise to your provided screenshot
2. Create New Tasks:
- Perform the task based on the given existing prompts and annotate it with screenshots + action JSON in realistic Ubuntu desktop tasks (e.g., using VLC, LibreOffice, GIMP, browser tasks).
3. Maintain Annotation Quality:
- Ensure screenshots match the correct UI state for each step.
- Avoid impossible/inaccurate actions (wrong coordinates, inactive buttons, incorrect app state).
- Follow consistent file naming and directory structure.
Must Have:
- Linux / Ubuntu Usage (Mandatory)
- You must be comfortable using Ubuntu Desktop as your primary or secondary OS, including:
- File Manager
- Desktop navigation, window switching, and settings
- Understanding of basic file paths and user directories
- Open-source Application Experience (Required)
- You should know how to perform common tasks in:
- Chrome
- VLC Media Player
- LibreOffice Writer / Calc / Impress
- GIMP
- Thunderbird
- VS Code
- Annotation Accuracy.
- Able to match screenshots with the correct next-step actions.
- Able to identify UI elements and click at the correct coordinates.
- Comfortable writing simple JSON.
- Must be comfortable writing accurate screen-state descriptions (observations) and generating model-style thought processes that logically lead to the next action.
- Patient, detail-oriented, consistent.
- Able to follow structured guidelines.
- Not easily bored by step-by-step GUI work.
What This Role Is Not:
- Not a programming job.
- Not a research job.
- Not a creative engineering role.
- Not suitable for people who want only coding or high-level design work.
- Not suitable for beginners who use only smartphones or Windows casually.
- This is a precision-driven, GUI-based desktop annotation job.
