# Project Cursa - Robot Manipulation Video Annotator (V2)

**Company**: Welo Data
**Location**: Philippines
**Work arrangement**: remote
**Job type**: contract
**Salary**: USD 3.5-3.5 per-hour-wage
**Category**: Data Science
**Industry**: Technology

**Apply**: https://jobs.lever.co/weloglobal/c5c69abd-d960-42d6-ba72-0cba79615418?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d498d549-706

## Description

We are looking for detail-oriented annotators to help label robot manipulation videos for AI training purposes. You will watch short videos of robots performing manipulation tasks and produce precise, structured, natural-language descriptions of the actions taking place.

Responsibilities:

- Watch short robot manipulation videos, each filmed from three synchronized camera views.

- Break each video into time segments and write clear, natural-language descriptions for each segment.

- Apply labels at three levels of detail for each applicable segment: atomic motion, skill/subtask, and task/goal.

- Ensure every moment of video is covered by a label at two or more of these levels.

- Accurately describe exactly what happens, including when something doesn't go as planned.

- Cross-reference all three camera angles to understand the overall scene and object identity.

- Follow a detailed style guide covering vocabulary for actions, spatial relationships, object descriptions, and manner of movement.

- Participate in periodic calibration sessions to align your labeling with the team and the client's reference examples.

Requirements:

- Strong written English.

- Sharp attention to detail.

- Comfort following a detailed, structured style guide.

- Basic comfort with spatial/mechanical description.

- Reliable, self-directed work habits.

Nice to Have:

- Prior experience with video annotation, data labeling, transcription, or QA work.

- Familiarity with robotics terminology.

- Experience with annotation tools such as Label Studio.

Benefits:

- Limitless flexibility with project-based opportunities.

- Optional access to AI and Large Language Model workshops.

- Part of a global contributor community with responsive guidance and support.

- Real impact by applying your expertise to influence AI systems.

## Skills

### Required
- strong written English
- sharp attention to detail
- comfort following a detailed style guide
- spatial/mechanical description
- reliable self-directed work habits

### Nice to have
- prior experience with video annotation
- familiarity with robotics terminology
- experience with annotation tools such as Label Studio

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/weloglobal/c5c69abd-d960-42d6-ba72-0cba79615418?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)