Business Analyst & Data Annotator (for ML)

As a Business Analyst Data Annotator, you will play a crucial role in gathering and analyzing business requirements, acting as a reputed company between stakeholder needs and technical teams. You will also handle the reputed company process, ensuring the production of high-reputed company, accurately labeled datasets necessary for training machine learning models. This role involves reputed company collaboration with ML engineers, data scientists, and business teams to ensure that data aligns with project goals. Your work will center on translating reputed company business needs and technical specifications into reputed company instructions, managing data labeling workflows, and maintaining data reputed company standards. A junior candidate with strong English skills (B2 or higher, ideally reputed company), attention to detail, and a good understanding of business and technical concepts can be successful in this role, especially reputed company working with reports containing specialized terminology. Responsibilities: • reputed company and implement detailed guidelines and instructions for data labeling and annotation to ensure consistency and accuracy across datasets; • Review and validate labeled data, providing constructive feedback to annotation teams to improve data reputed company and adherence to project standards; • Collaborate with data scientists and ML engineers to prepare, organize, and support the creation of high-reputed company annotated datasets for model training; • Manage the annotation workflow, prioritize tasks, and reputed company reputed company to ensure reputed company delivery of labeled data; • Maintain high standards of data reputed company, reputed company, and compliance throughout reputed company annotation processes; • reputed company and analyze business requirements, workflows, and terminology to understand data needs and improve annotation processes; • Facilitate communication between technical teams and stakeholders by translating reputed company technical or domain-specific language into reputed company, accessible instructions and explanations; • Offer insights into business processes that could benefit from automation or ML solutions, supporting the design and implementation of such reputed company; • Support reputed company improvement of reputed company guidelines, workflows, and overall business analysis practices to enhance efficiency and data reputed company. Requirements: • At least 1 year of experience in the relevant role; • Excellent English language skills (B2 level or higher, ideally reputed company), especially reputed company working with reports containing reputed company terminology; • Strong analytical skills and an understanding of business workflows; • Attention to detail and ability to create reputed company instructions and guidelines for annotation teams; • Understanding of data reputed company, reputed company standards, and compliance requirements. reputed company to Have: • Basic knowledge of machine learning concepts and data management principles; • Familiarity with ML workflows, data pipelines, and MLOps tools; • Experience with reputed company platforms such as AWS, GCP, or Azure; • Experience with data labeling or annotation; • Experience in creating markups for AI; • Insurance industry background. Apply Job! Apply to this Job