Description

You will label machine learning data to refine AI models through high-volume textual annotation.

This role is on-site.

Responsibilities

• Label large volumes of textual data following predefined guidelines to improve model accuracy.
• Collaborate with team members to identify and implement improvements to labeling interfaces and processes.
• Deliver completed assignments within established deadlines and team goals.
• Integrate continuous feedback into your workflow to maintain high data quality standards.
• Manage ambiguity, uncertainty, and changing priorities independently.

Required Skills

• 5+ years of experience in data quality or related roles.
• Strong reading comprehension and writing skills for interpreting complex and diverse texts.
• Proficiency in Natural Language Processing (NLP) and Deep Learning concepts.
• Excellent verbal and written communication skills for multi-disciplinary collaboration.
• Bachelor’s degree in English, Literature, Creative Writing, Journalism, or equivalent work experience.

Key Skills

Education

Any Graduate