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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager, Training Data - **Company:** Brain Corporation - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Operational Databases, Machine Learning Operations - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c7e380541e8b5f5b ## About the Role * 4+ 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, * 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 ## Description 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 ## Related Videos - [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai) - [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation) - [Databases on Kubernetes: Why you should care](https://www.wearedevelopers.com/videos/74-databases-on-kubernetes-why-you-should-care) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [Exploring 5 Key Applications of AI Abundance with Blockchain Assurance](https://www.wearedevelopers.com/videos/971-exploring-5-key-applications-of-ai-abundance-with-blockchain-assurance) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)