Data Annotator

Role Overview

We are seeking a Data Annotator to produce accurately labeled datasets essential for advancing machine learning and AI projects. The position involves applying precise annotations to various data types including text, images, audio, and video, while adhering to project-specific guidelines. The role requires active collaboration with reviewers and project supervisors to maintain dataset quality and resolve annotation challenges.

Key Duties

• Study project instructions and annotation protocols thoroughly before undertaking any task, seeking clarification if needed.
• Annotate, classify, transcribe, or categorize assigned datasets using designated tools and standards.
• Consistently apply labels across diverse data formats in line with project requirements.
• Review finished annotations to ensure completeness, accuracy, and proper label application.
• Identify and flag ambiguous, incomplete, or sensitive data rather than making assumptions.
• Integrate feedback from reviewers and update annotations accordingly.
• Adhere to timelines while complying with quality and data management procedures.
• Protect all confidential project data by using it solely for authorized purposes.
• Record and communicate recurring queries or guideline gaps to project leads to enhance processes.

Required Skills and Experience

• Minimum completion of high school or an equivalent qualification; higher education is beneficial.
• Excellent attention to detail and the ability to follow written instructions strictly.
• Strong reading comprehension in the languages pertinent to the project.
• Familiarity with basic computing, web tools, spreadsheets, and annotation platforms.
• Capability to maintain concentration and accuracy during repetitive tasks.
• Clear written communication skills and receptiveness to constructive feedback.
• Prior experience in data annotation, content reviewing, transcription, or quality assurance is a plus.
• Responsible handling of confidential data in line with data protection policies.