Description:
The Data Tagging team will be the foundation of Kensho’s state-of-the-art ML solutions for a wide range of complex problems, including information extraction from document text and tables, document layout analysis, entity recognition, thematic tagging and more. These solutions power our customers’ data operations (including S&P Global’s), and serve as the foundation for Kensho’s natural language processing products, such as NERD and Classify.
Impact And Responsibilities
- We are currently seeking annotation analysts to help accelerate our model development cycle and continually raise the standards of our data operations.
- Be part of a dedicated team of annotation analysts who drive Kensho’s state-of-the-art machine learning solutions by generating best-in-class labeled data.
- Become a subject matter expert in annotation workflows and annotation guidelines
- Label and evaluate documents and predictions in assigned queues for a variety of NLP-related projects
- Apply creative and independent thinking to identify and solve complex edge cases and eliminate ambiguity
- Collaborate with Kensho’s AI Data team and machine learning engineers to adjust instruction sets, provide feedback and insights, and explore promising strategic initiatives
Required Qualification
What We’re Looking For:
- Graduate Degree in Finance/Technology
- Subject matter expertise in Accounting, Finance, or a related discipline
- Excellent Written and Verbal Communication
- Working knowledge and genuine interest in Python and SQL
- Good understanding and interest of Financial Markets, Corporate Actions & Financial Products (Mergers & Acquisitions and Capital Markets)
- Client centric mindset
- Analytical mindset and strong in logical reasoning
- Ability to prioritize, multi-task and effective Time Utilization/Project Management skills
- An inquisitive and investigative nature.
- Ability to interact with varying levels of seniority, and handles issues in a mature and professional manner