01Overview
JOB DESCRIPTION
Shape how high-quality data powers next-generation analytics and artificial intelligence in financial services. Join a team where your leadership and domain expertise directly improve model performance and business decision-making. Build a long-term career with access to mobility, learning, and the scale of diverse, high-impact use cases.
As a Data Annotation Lead at JPMorgan Chase, you will lead a data annotation team that produces reliable labeled datasets used to train and evaluate machine learning and generative artificial intelligence solutions. You will own delivery, quality controls, and stakeholder alignment across multiple annotation engagements. You will translate business objectives into annotation guidelines, taxonomies, and validation methods that create dependable ground truth.
In this role, you will partner closely with data science, analytics, engineering, and product stakeholders to define what positive looks like for labeled data and ensure teams can use it confidently in production workflows. You will guide annotation strategy across multiple data types such as text, chat, email, documents, and audio. You will balance speed and rigor by using clear standards, measurable quality metrics, and continuous improvement practices. You will also help the team adopt workflow automation and human-in-the-loop approaches that improve throughput while protecting data quality.
Job Responsibilities
- Own end-to-end delivery of multiple data annotation engagements, including scope, timeline, staffing, and final acceptance of outputs.
- Lead and coach a team of domain expert annotators; set expectations, review work quality, and provide ongoing performance feedback while contributing hands-on when needed.
- Define annotation guidelines, labeling instructions, and gold-standard examples that enable consistent decisions across annotators and projects.
- Develop and maintain label taxonomies, sub-labels, and hierarchical structures aligned to busine .
