Video Annotators (ONSITE)

Innodata Knowledge Services, Inc.; Mandaue; On-site; PHP 335,000 - 469,000; Part time

Job summary

Innodata Knowledge Services, Inc. is seeking detail-oriented individuals for an on-site pilot involving ergonomic video data collection and annotation.

The role focuses on segmentation, labeling, and precise description writing for an AI/LLM data project, with a 1-month duration and on-site work requirements. Responsibilities include reviewing footage, applying project-specific segmentation rules, labeling actions and objects, and producing clear segment descriptions.

Qualifications

• Senior High School graduate or two years of college in a relevant field.
• Experience in video annotation, image annotation, data labeling, transcription, content tagging, or other structured data annotation work.
• Strong written English skills, including grammar, sentence construction, clarity, and the ability to describe visual events accurately.
• Excellent attention to detail and sustained concentration when reviewing video footage.
• Willingness to work on-site during the pilot and participate in supervised training, calibration, and performance evaluation.

Responsibilities

• Review video footage and identify meaningful segments based on project-specific instructions and defined segmentation criteria.
• Annotate video segments with labels based on observable actions, objects, interactions, and events.
• Write concise, clear, grammatically correct, and objective descriptions of video segments.
• Conduct self-reviews to identify segmentation errors, incorrect labels, incomplete descriptions, and inconsistencies.

Skills

Strong written English

Attention to detail

Observation skills

Structured documentation

Education

Senior High School graduate

Two years of college in a relevant field

Job description

We are looking for detail-oriented and analytical individuals to participate in an on-site pilot involving video segmentation, annotation, and descriptive writing for an AI/LLM data development project.

• Project: Ergonomic Video Data Collection and Annotation Pilot
• Work Setup: On-site
• Engagement: Pilot phase, with potential for succeeding production work
• Project Duration: 1 month

Key Responsibilities

• Review video footage and identify meaningful segments based on project-specific instructions and defined segmentation criteria.

2. Video Annotation and Labeling

• Assign appropriate labels to video segments based on observable actions, objects, interactions, and events.

3. Description Writing

• Write concise, clear, grammatically correct, and objective descriptions of video segments.
• Describe actions and events in a logical sequence, using specific and unambiguous language.

4. Quality Assurance and Guideline Compliance

• Conduct self-reviews to identify segmentation errors, incorrect labels, incomplete descriptions, and inconsistencies.
• Follow annotation guidelines, naming conventions, metadata requirements, and submission procedures.

Qualifications

• Senior High School graduate or at least two years of college education in a relevant field.
• Backgrounds in communication, English, linguistics, multimedia, information technology, psychology, or other fields requiring careful observation and structured documentation are advantageous, but not mandatory.
• Experience in video annotation, image annotation, data labeling, transcription, content tagging, or other structured data annotation work.
• Strong written English skills, including grammar, sentence construction, clarity, and the ability to describe visual events accurately.
• Excellent attention to detail and sustained concentration when reviewing video footage.
• Ability to observe actions, distinguish meaningful changes, and accurately describe sequences of events.
• Strong reading comprehension and the ability to follow detailed, rule-based instructions.
• Willingness to work on-site during the pilot and participate in supervised training, calibration, and performance evaluation.
• Experience in video annotation, image annotation, data labeling, transcription, content tagging, or other structured data annotation work.