CV Data Labeller

Job Description

Review image and video data andcreate accurate annotations for Computer Vision model development andevaluation.

Scope of Work / Duties andResponsibilities

• Review approved images and videos using the provided tools and instructions.
• Create or correct bounding boxes, classes, attributes, timestamps and event markers.
• Review pre-labelled data and add missing or incorrect annotations.
• Flag unclear cases for review rather than making unsupported assumptions.
• Complete basic self-checks and correct labels based on quality feedback.
• Maintain task and batch records.
• Join short calibration sessions when new tasks or labelling rules are introduced.
• Follow confidentiality, privacy, access and data-handling requirements.

Minimum Required Experienceand Qualifications

• No prior work experience required.
• Basic computer literacy and ability to use web-based tools efficiently.
• Comfortable reviewing images and videos for extended periods.
• Strong attention to detail and consistency.
• Able to follow written instructions and examples closely.
• Basic written communication skills for comments and clarification questions.
• Prior annotation, quality-control or data-entry experience is useful but not required.