Business Analyst & Data Annotator (ML) - Remote

Overview

As a Business Analyst & Data Annotator, you will play a crucial role in gathering and analyzing business requirements, acting as a bridge between stakeholder needs and technical teams. You will also handle the data annotation process, ensuring the production of high-quality, accurately labeled datasets necessary for training machine learning models.

In Short

• Develop and implement guidelines for data labeling and annotation.
• Review and validate labeled data, providing feedback to improve quality.
• Collaborate with data scientists and ML engineers on dataset creation.
• Manage annotation workflow and prioritize tasks for timely delivery.
• Maintain data privacy, security, and compliance standards.
• Gather and analyze business requirements to improve annotation processes.
• Translate complex technical language into clear instructions.
• Support automation or ML solution design and implementation.
• Enhance efficiency and data quality through continuous improvement.

Requirements

• At least 1 year of experience in a relevant role.
• Excellent English language skills (B2 level or higher).
• Strong analytical skills and understanding of business workflows.
• Attention to detail and ability to create clear instructions.
• Understanding of data privacy and compliance requirements.

Benefits

• Basic knowledge of machine learning and data management principles is a plus.
• Familiarity with ML workflows and MLOps tools is advantageous.
• Experience with cloud platforms like AWS, GCP, or Azure is beneficial.
• Experience in data labeling or annotation is a plus.
• Background in the insurance industry is desirable.