Human Data Project Lead

The Human Data team produces the human judgments that make AI training data trustworthy, including annotating data, verifying model output, and human review of healthcare data. The role involves owning human data projects from start to finish, such as scoping projects with requesting teams, designing and testing tasks, staffing projects, keeping them on schedule and budget, catching quality problems, and delivering results customers can trust. The role is designed for someone early in their career who wants to own outcomes quickly.

Responsibilities

Own human data projects end to end: scope them with the requesting team, set timelines and budgets, and deliver on them; Design tasks and instructions with the requesting team, and pilot them on a small batch before anything scales; Staff projects across in-house annotators and partner vendors, and manage those vendor relationships day to day; Run calibration before production, including known-answer tests for every annotator with feedback and retries; Track throughput, cost and quality by annotator and vendor, and report progress to leadership every week; Catch problems early (annotator drift, vendor slippage, ineffective instructions) and fix them before they reach the customer; Handle sensitive data, including protected health information, under strict security procedures; Travel on short notice when a project needs someone on site; Make every project easier to run than the last one

Requirements

One to three years in consulting, finance, a startup, or another operationally intense environment where you owned complex projects with real stakes; Strong new grads with that kind of experience are welcome; Strong analytical skills, with instincts for statistics; Comfort and experience with agentic coding/work tools, willingness to learn new ones; Comfort working directly with demanding stakeholders, including researchers and outside partners; The judgment to notice when something is off and the instinct to raise it early rather than guess; Clear, fast written communication; Authorization to work in the U.S. as a W2 employee (required for access to protected health information)

Nice to have

Experience running data annotation, labeling or AI training data projects; Healthcare, clinical research or HIPAA-regulated work; Experience managing contractors, vendors or freelancers; Python or SQL