Data Annotator

This role supports machine-learning development by reviewing and producing high-quality annotated datasets across multiple data types (text, images, video, audio, and other digital data). Working within defined annotation guidelines and quality-control processes, the role ensures accuracy, consistency, and timely completion of assignments while escalating ambiguous or sensitive cases and maintaining strict compliance with privacy and security requirements.

Responsibilities

• Review assigned data for machine-learning training, validation, and evaluation.
• Apply annotation guidelines to text, images, video, audio, or other digital data.
• Label, classify, categorize, transcribe, segment, or otherwise annotate data.
• Review existing annotations and correct errors or inconsistencies.
• Escalate ambiguous, sensitive, incomplete, or conflicting data.
• Apply detailed instructions accurately and consistently.
• Use annotation tools, spreadsheets, and collaboration platforms effectively.
• Communicate questions clearly and participate in calibration activities.
  
  

Required Qualifications

• Senior high school diploma, vocational qualification, or bachelor's degree in a relevant field.
• Strong reading comprehension, written communication, reliability, and ability to meet deadlines.
• Commitment to confidentiality, privacy, security, and responsible data handling.
  
  

Preferred Qualifications

• Experience in data annotation, data labeling, content review, quality assurance, transcription, or research assistance.
• Experience reviewing text, images, video, audio, or other multimodal datasets.
• Familiarity with artificial intelligence, machine learning, natural language processing, or computer vision.
• Strong Filipino and English proficiency, including grammar, context, tone, idiomatic expressions, and culturally specific references, when required.