Data Annotator/Labeler

Responsibilities:

• Accurately label and annotate datasets according to detailed project guidelines.
• Classify text, images, audio, or video content for machine learning training.
• Review and correct existing annotations to ensure high data quality.
• Follow quality standards, deadlines, and confidentiality requirements.
• Report inconsistencies, unclear data, or guideline issues to project leads.
• Maintain consistent accuracy across repetitive tasks.
• Flagging unclear, incorrect, or edge case data for review.
• Meeting accuracy and productivity standards while working remotely.
• Communicating with team leads through online collaboration tools.

Requirements:

• A Bachelor’s degree in computer science, linguistics, statistics, psychology, or social sciences.
• 3+ years’ experience in data annotation, data labeling, data analysis, quality assurance, research, and similar detail-oriented roles.
• Strong attention to detail and ability to work with minimal supervision.
• Good written communication and comprehension skills.
• Proficiency with computers and online work tools.
• Experience working on AI, machine learning, or data-driven projects.
• Familiarity with annotation platforms or structured labeling workflows.
• Reliable internet connection and a personal computer.
• Ability to manage time effectively in a remote setting.
• Commitment to confidentiality and responsible data handling.

Renumeration: NGN 500,000 (Non-negotiable)