Project Cursa - Robot Manipulation Video Annotator

Welo Global; United States; Remote; USD 4,100 - 5,500; Full time

Benefits offered by this job

Fully remote work

Global contributor community

Flexible project-based opportunities

Job summary

Welo Data is hiring remote annotators to label robotic manipulation videos for AI training. You will craft precise, segment-based descriptions across three synchronized camera angles, applying multi-level labels per segment.

Strong written English and sharp attention to detail are essential to capture both successful actions and failures with exactness. You’ll follow a detailed style guide, ensure every moment is labeled, and participate in calibration sessions to align with client references.

Qualifications

• Excellent written English with varied phrasing for dozens of sentences per video.
• Sharp attention to detail to distinguish grasp vs. fumble and specific contact points.
• Ability to follow a structured, detailed labeling style guide consistently, even in edge cases.
• Comfort describing spatial relationships (left/right, above/below) and object parts.
• Reliable, self-directed work habits with periodic check-ins as needed.

Responsibilities

• Watch robot manipulation videos from three synchronized camera angles.
• Break videos into time segments and write clear, natural-language descriptions.
• Apply two+ level labels for each segment to ensure full coverage, including idle moments.
• Describe exactly what happens, including failures or misgrabs, with precision.
• Cross-reference all camera views to confirm object identity and contact details.

Skills

Strong written English

Attention to detail

Follow style guide

Spatial description

Self-directed work

Tools

Label Studio

Job description

About the Role

We are looking for detail-oriented annotators to help label robot manipulation videos for AI training purposes.You’llwatch short videos of robots performing manipulation tasks (filmed from three synchronized camera angles) and produce precise, structured, natural-language descriptions of the actions taking place. This work directly supports the development of robotics AI models and requires strong written English, sharp observational skills, and the discipline to follow a detailed style guide consistently.

What You’ll Do

• Watch short robot manipulation videos, each filmed from three synchronized camera views (an overhead view and views from each of the robot’s two wrist-mounted cameras).
• 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:
• Ensure every moment of video is covered by a label at two or more of these levels — no gaps, including idle or pause moments.
• Accurately describeexactly what happens, including when somethingdoesn’tgo as planned (a dropped object, a failed grasp, a slipped grip). Precision matters more than making the robot look successful.
• Cross-referenceall three camera angles: use the overhead view to understand the overall scene and object identity, and the close-up wrist views to confirm exact contact and grasp details.
• Follow a detailed style guide covering vocabulary for actions, spatial relationships, object descriptions, and manner of movement, applying it consistently across many episodes.
• Participate in periodic calibration sessions to align your labeling with the team and the client’s reference examples.

What We’re Looking For

Required

• Strong written English —you’llwrite dozens of short, precise descriptive sentences per video and need to vary your language rather than repeating the same phrases.
• Sharp attention to detail — able to distinguishsmall differences(a successful grasp vs. a fumble, a push vs. a drag, which specific object part is being touched).
• Comfort following a detailed, structured style guide and applying it consistently, even in ambiguous or edge-case scenarios.
• Basic comfort with spatial/mechanical description (left/right, above/below, naming object parts like handles, lids, or edges).
• Reliable, self-directed workhabits — this isoften heads-down work with periodic check-ins rather than close supervision.

Nice to Have

• Prior experience with video annotation, data labeling, transcription, or QA work.
• Familiarity with robotics terminology (grippers, end-effectors, manipulation) — helpful but not necessary, as the style guide is self-contained.
• Experience with annotation tools such as Label Studio.

$3.50 - $3.50 an hour

Why Join Welo Data?

Limitless Flexibility

Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.

Limitless Growth

Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.

Limitless Support

Be part of a global contributor community with responsive guidance and support.

Real Impact

Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.

About Welo Data

Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.

At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.