Job Details

About Brain Co.

Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. We are building AI applications for the world's most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries. Our progress so far:

Automated construction permitting for a sovereign government ? 80% faster, unlocking $375M+ in value

Optimized supply chains for a leading global energy company ? 30% lower cost, 99% reliability, preventing $100M+ in losses

Streamlined hospital patient care across national health systems ? 40% better outcomes, 80% less admin work

Company momentum:

Raised a $55M Series A from leading investors

Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks

At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate.

We are looking for leaders who want to help bring new technology into institutions that impact millions of people.

About the Role

Brain Co. is looking for a TPM to own the end-to-end labeling process across our AI/ML initiatives. This person will serve as the single point of ownership for labeling operations, partnering closely with ML engineers, labelers, vendors, and subject matter experts to ensure high-quality labeled data is delivered efficiently, on time, and at scale.

This is a highly cross-functional role for someone who combines strong operational ownership with technical fluency. You will design and improve labeling workflows, manage the people and processes behind them, and continuously raise the bar on quality, speed, and scalability.

What You'll Do

Own labeling operations end-to-end across multiple AI/ML projects

Source, interview, onboard, and manage labelers, agencies, and subject matter experts

Write, refine, and maintain clear labeling instructions, examples, and task definitions

Partner with engineers to determine the right labeling approach, including inputs, outputs, workflows, and quality requirements

Identify and organize the right data and example sets for labeling

Keep labeling work on track against project milestones and proactively communicate risks, blockers, and tradeoffs

Monitor quality, accuracy, and efficiency, and drive corrective actions when gaps appear

Recommend the right tools for data collection and labeling, and help shape lightweight in-house tooling or automation where needed

Facilitate collaboration between engineering and labeling teams to ensure alignment on scope, quality, and timelines

Own dataset curation workflows end-to-end, including working with production data, public data sources, and external SMEs

Build and improve long-term labeling processes with a focus on efficiency, latency, accuracy, and scalability

Qualifications

2+ years of experience in dataset curation, data labeling operations, data annotation, or a similar role

Strong ownership mindset and comfort serving as the point person for a complex workflow

Excellent written communication skills, with the ability to create precise and usable instructions

Strong organizational and project management skills, with the ability to plan around timelines and dependencies

Proactive communicator who raises issues early and helps unblock progress

Sufficient technical knowledge to work effectively with ML and engineering teams

Experience interviewing, managing, or coordinating labelers, vendors, or subject matter experts across different domains

Comfort with lightweight scripting, prototyping, or automation to streamline workflows

Preferred Qualifications

Experience working with ML, data, or human-in-the-loop workflows

Familiarity with labeling platforms, annotation tooling, and QA processes

Experience in complex or regulated domains such as health, insurance, or permitting