About the Role We are looking for detail-oriented
annotators to help label robot manipulation videos for AI training
purposes. You'll watch 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. Project Details: Job Title:
Project Cursa - Robot Manipulation Video Annotator Location: Remote
in India/Philippines Employment type: Freelance Pay Rate:
US$3.5/hour What You'll Do 1. 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). 2. Break each video into time segments and write transparent,
natural-language descriptions for each segment. 3. Apply labels at
three levels of detail for each applicable segment: - Atomic motion
(a few seconds) — a single small movement (e.g., "close fingers
around the red handle") - Skill / subtask (several seconds to ~20
seconds) — a complete, meaningful action (e.g., "pick up the red
block by its edge") - Task / goal (up to ~1 minute) — the overall
purpose of a sequence of skills (e.g., "place all blocks in the
container") 4. Ensure every moment of video is covered by a label
at two or more of these levels — no gaps, including idle or pause
moments. 5. Accurately describe exactly what happens, including
when something doesn't go as planned (a dropped object, a failed
grasp,



a slipped grip). Precision matters more than making the
robot look successful. 6. Cross-reference all 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. 7. Follow a detailed style guide covering vocabulary
for actions, spatial relationships, object descriptions, and manner
of movement, applying it consistently across many episodes. 8.
Participate in periodic calibration sessions to align your labeling
with the team and the client's reference examples. What We're
Looking For Required: 1. Strong written English — you'll write
dozens of short, precise descriptive sentences per video and need
to vary your language rather than repeating the same phrases. 2.
Sharp attention to detail — able to distinguish small differences
(a successful grasp vs. a fumble, a push vs. a drag, which specific
object part is being touched). 3. Comfort following a detailed,
structured style guide and applying it consistently, even in
ambiguous or edge-case scenarios. 4. Basic comfort with
spatial/mechanical description (left/right, above/below, naming
object parts like handles, lids, or edges). 5. Reliable,
self-directed work habits — this is often heads-down work with
periodic check-ins rather than close supervision. Nice to Have: 1.
Prior experience with video annotation, data labeling,
transcription, or QA work. 2. Familiarity with robotics terminology
(grippers, end-effectors, manipulation) — helpful but not
necessary, as the style guide is self-contained. 3. Experience with
annotation tools such as Label Studio.

📌 AI Video Annotator (New Delhi)
🏢 Welocalize
📍 New Delhi