Video Data Annotator

What you would do

• Watch robotics video clips and identify, label specific actions, objects, and events per detailed annotation guidelines
• Score each clip for data quality, relevance, and usability based on a predefined rubric
• Perform quality assurance spot-checks to ensure your annotations follow project standards
• Document labeling decisions and report guideline ambiguities back to the team

Who they want

• Mid-level experience with video data annotation on various platforms or past projects
• Strong attention to detail and demonstrated commitment to accurate, consistent annotations
• Good written and verbal communication, especially for documenting findings and remote collaboration
• Prior robotics footage or robotics-related annotation experience strongly preferred; self-directed work style

Main skills

What the interview asks about

1. 1.Applying complex annotation guidelines

   Guidelines often contain edge cases and overlapping categories; your ability to apply them consistently rather than making ad hoc judgments keeps the training data reliable.

   For example: “Your guideline: Label gripper as OPEN, CLOSED, or TRANSITIONING - use only for visible motion. You review 10 gripper clips: 6 clear motion, 2 ambiguous blur, 2 static. How many TRANSITIONING labels would you assign?”

2. 2.Quality assessment and scoring

   Not all footage is usable; your judgment about whether a clip meets baseline quality keeps poor-quality images from polluting the training set.

   For example: “You receive 50 robot assembly videos: 15 with poor lighting, 8 at extreme angles, 3 with motion blur. How would you score these and what threshold for rejecting versus flagging?”

3. 3.Recognizing ambiguity and escalation

   Edge cases that you can't resolve cleanly will recur; escalating ambiguities helps the team refine guidelines so future annotators don't face the same confusion.

   For example: “You're labeling elbow flexion 0-180 degrees. Frame 47 shows ambiguity between 78 or 82 due to camera angle and occlusion. Should you guess, leave blank, or escalate? Explain your reasoning.”

4. 4.Consistency under volume and deadline

   When you're annotating hundreds of clips against a schedule, consistency slips; the interviewer checks whether you have discipline to maintain standards under pressure.

   For example: “You're on track for 200 clips, but by clip 140 your categorization drifts. What system would you put in place to catch drift early and how would you report it?”

5. 5.Documentation and feedback loop

   Your written explanations of edge cases and guideline suggestions directly inform how the guidelines evolve and train the next batch of annotators.

   For example: “You notice 'manipulation' is vague - moving, reorienting, or aligning objects all fit. Draft three sub-categories with examples and explain why the distinction matters for AI training.”

A task you may get

Annotate 5-10 sample robotics video clips (or still frames) provided by the project using a supplied annotation rubric. Score each for quality and document any ambiguities or guideline clarifications you'd request.

How to prepare

• Think of a past annotation task where you encountered ambiguity or edge cases and be ready to describe how you resolved it and what feedback you gave.
• Review one robotics task (assembly or bin picking) and explain what makes accurate annotation challenging and what categories you'd propose.
• Consider a scenario where you had to maintain quality under time pressure and explain the systems or habits you developed to avoid cutting corners.

The facts

Pay

$7/hr

Open to

Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia

Field

Other

Role type

Robotics

Posted

8/2/2026

Places left

20

We wrote this page from the public micro1 listing. It may be out of date, so read the full posting before you apply.