×
Register Here to Apply for Jobs or Post Jobs. X

QC Reviewer-Video Annotation; Philippines

Job in Phoenix, Maricopa County, Arizona, 85001, USA
Listing for: Welo Data
Full Time position
Listed on 2026-10-28
Job specializations:
  • Quality Assurance - QA/QC
    Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 55000 - 75000 USD Yearly USD 55000.00 75000.00 YEAR
Job Description & How to Apply Below
Position: QC Reviewer-Video Annotation(Philippines)
What You'll Do
  • Review completed annotations of robot manipulation videos across three levels of labeling detail (atomic motion, skill/subtask, task/goal).
  • Cross-check annotator descriptions against all three camera views (overhead and both wrist-mounted cameras) to verify accuracy of described actions, object identification, and contact/grasp details.
  • Verify full coverage of each video — confirm there are no gaps in labeling, including idle or pause moments.
  • Check that descriptions accurately reflect what actually happened in the video, including failures, drops, or slipped grips — flagging any instances where outcomes were inaccurately described or "smoothed over".
  • Evaluate annotations for adherence to the style guide: correct vocabulary usage, spatial/directional accuracy, consistent terminology for objects and actions, and appropriate language variation (avoiding repetitive phrasing).
  • Identify recurring errors or patterns of confusion among annotators and report them to theteamleadfor calibration purposes.
  • Provide specific, actionable feedback on rejected or revised annotations, referencing the style guide and reference examples.
  • Participate in periodic calibration sessions with the team andclientto align QC standards with evolving guidelines oredge-case resolutions.
  • Maintain a QC log or tracking sheet documenting review outcomes, common error types, and annotator performance trends (as required by the project).
What We're Looking For

Required:
  • Excellent written English and strong reading comprehension —you'llbe evaluating precise, nuanced language choices, not just checking for typos.
  • Exceptional attention to detail — able to catch subtle mismatches between video content and written description (e.g., a mislabeled grasp type, an incorrect object part, a missed failure event).
Nice to Have:
  • Prior experience in a QC, editing, proofreading, or annotation review role.
  • Experience with video annotation, data labeling, or transcription QA specifically.
  • Familiarity with robotics terminology (grippers, end-effectors, manipulation).
  • Experience with annotation tools such as Label Studio, including review/approval workflows.
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary