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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager, Data Collection and Model Evaluation (Fixed-Term Contract), DeepMind - **Company:** Google LLC - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $163,000.0 - $236,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Bioinformatics, Python (Programming Language), DataOps, SQL Databases, Evaluation Pipelines, Model Validation, DeepMind - **Published:** October 8, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3425143643&tx=KL8787FFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's degree in a technical, quantitative, or operational field, or equivalent practical experience. * 5 years of experience in technical program management, data operations, or AI/ML program management., * Manage end-to-end human data collection, annotation, and evaluation pipelines (SFT, RLHF) for large-scale foundation models. * Oversee third-party vendors, SOWs, and rater quality, partnering with engineering to design and launch workflows on annotation platforms. * Utilize SQL, Python, or dashboards to monitor pipeline telemetry, analyze rater quality, and diagnose data anomalies. * Navigate ambiguity to build consensus across research, engineering, and legal, managing multimodal and internationalized data workflows. ## Description Share Technical Program Manager, Data Collection and Model Evaluation (Fixed-Term Contract), DeepMind, * Manage complex human data collection and model evaluation programs spanning pre-training, SFT, and benchmark evaluations across multimodal domains from requirement intake through final data handoff. * Partner with research and engineering to translate modeling goals into concrete data specifications, annotation guidelines, and evaluation rubrics, while driving workflow migrations onto internal platforms. * Coordinate technical dependencies for novel data collection environments (e.g., virtualized OS, multimodal capture), resolving tooling bottlenecks and ingestion issues. * Oversee external data service providers and rater pools, managing SOWs, capacity, throughput SLAs, and quality audits to ensure datasets meet research quality bars. * Establish program tracking and operational metrics; clearly communicate progress, risk mitigation plans, and resource status to cross-functional partners and leadership. 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