Data Annotator

Job Title: Data Annotator

Job Type: Full-time

Location: Remote

About Us:

Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.

Job Summary

Join our customer's team as a detail-oriented Data Annotator, playing a vital role in transforming data into actionable insights for cutting-edge projects. As a key contributor, you will work remotely to ensure data quality and accuracy, supporting the development of advanced AI and machine learning solutions. This is an excellent opportunity for individuals who excel at understanding context and thrive in a fast-paced, collaborative environment.

Key Responsibilities

• Carefully label and annotate large volumes of data according to project guidelines and standards.
• Interpret complex data with high accuracy and attention to context-specific nuances.
• Collaborate with cross-functional teams to resolve annotation ambiguities and improve data processes.
• Maintain consistency and quality across all data annotation tasks.
• Provide feedback to enhance annotation tools and workflow efficiency.
• Stay up to date with evolving project requirements and annotation best practices.
• Document annotation processes and participate in team meetings as needed.

Required Skills and Qualifications

• Proven experience in data annotation, labeling, or similar data-centric roles.
• Exceptional attention to detail and ability to maintain high accuracy.
• Strong contextual understanding and critical thinking skills.
• Excellent written and verbal communication abilities—a core value for this role.
• Comfortable working independently in a remote environment.
• Familiarity with annotation platforms or data labeling tools.
• Ability to manage time effectively and meet deadlines on part-time schedules.

Preferred Qualifications

• Background in fields such as linguistics, information science, or machine learning.
• Previous experience working on diverse annotation projects or multilingual datasets.
• Ability to quickly adapt to new tools and project requirements.