Computer Vision QA Specialist
Computer Vision QA Specialist is a remote contract SME Careers opportunity focused on review annotation quality: Review image and video annotations for accuracy, completeness, consistency, and adherence to project guidelines.
- Pay
- Advertised ceiling: Up to $2.5/hour
- Location
- Remote — Bangladesh, India
- Eligibility
- Remote; check the India location wording
- Qualification difficulty
- Moderate
How current is this information?
The public role and application path were checked. Details can still change; this is not an endorsement or guarantee.
- Platform
- SME Careers
- Fit category
- General professional
- Listing/source checked
- Sep 24, 2026
- Apply link checked
- Sep 24, 2026
Application
Continue to the current SME Careers listing
Apply on SME CareersOpens the current SME Careers page in a new tab. This may be a referral link, and Specialist AI Work may be paid if the platform credits it. That does not change the role's advertised pay or how roles are ordered here.
What this role involves
Computer Vision QA Specialist is a remote contract SME Careers opportunity focused on review annotation quality: Review image and video annotations for accuracy, completeness, consistency, and adherence to project guidelines. The public role asks for previous experience with computer vision annotation, image annotation, video annotation, or annotation QA is preferred. Public responsibilities include review annotation quality: Review image and video annotations for accuracy, completeness, consistency, and adherence to project guidelines.
Before you apply
Review the main fit signals and unresolved details before opening the platform.
Why it may fit
- People with credible general professional expertise
- Applicants comfortable with role-specific screening for Computer Vision QA Specialist
Check before applying
Reasons to pause
- You need guaranteed placement, hours, or continuous project work
- You cannot meet the current country or identity-verification requirements
Still to verify
- Review the current SME Careers public job details before applying. Country eligibility, AI interview steps, Deel or identity onboarding, pay, and project availability can vary by role and can change.
What to prepare
- Previous experience with computer vision annotation, image annotation, video annotation, or annotation QA is preferred.
- Experience reviewing or creating annotations such as bounding boxes, polygons, segmentation masks, keypoints, object classes, attributes, image classification, or video object tracking.
Role tools
Where these choices are saved
Save, Not for me, Compare, and application tracking remain in this browser.
Requirements
- Strong attention to detail and ability to identify missing, incorrect, inconsistent, overlapping, mislabeled, or poorly placed annotations.
- Comfortable working with detailed annotation guidelines, edge-case rules, quality standards, and project-specific instructions.
- Ability to review image and video data consistently across large batches while maintaining accuracy and speed.
Application tips
- Expect role-specific screening; SME Careers documentation says AI may support the interview assessment while people make final decisions.
- Confirm current country eligibility, applicant pay, Deel or identity onboarding, and project availability before accepting work.