QC Reviewer-Video Annotation(Philippines)

Welo Data; Quezon City; On-site; PHP 335,000 - 614,000; Full time

Job summary

Welo Data is seeking a meticulous QC specialist to review and improve the quality of robot manipulation video annotations. You will verify language accuracy, labeling detail, and consistency across multiple views, ensuring alignment with the project’s style guide.

In this role you will focus on identifying gaps, incorrect object references, and missed failure events, providing precise, actionable feedback and maintaining a QC log for audit trails.

Qualifications

• Excellent written English and strong reading comprehension.
• Exceptional attention to detail to catch subtle mismatches.

Responsibilities

• Review completed annotations of robot manipulation videos across three labeling levels.
• Cross-check annotator descriptions against video views to verify accuracy.
• Verify full coverage of each video and identify gaps or idle moments.
• Check descriptions reflect actual events, including failures or slips.
• Adhere to style guide with consistent terminology and language variation.
• Identify recurring errors and report to team lead for calibration.
• Provide actionable feedback referencing the style guide.
• Participate in calibration sessions with team and client.
• Maintain a QC log documenting review outcomes and trends.

Skills

Excellent written English

Attention to detail

Reading comprehension

Editing & proofreading

QA experience

Tools

Label Studio

Job description

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 the team lead for 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 and client to align QC standards with evolving guidelines or order-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'll be 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.