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# 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, Python (Programming Language), DataOps, SQL Databases, Evaluation Pipelines, Model Validation, DeepMind
- **Published:** October 4, 2026
- **Apply:** https://dejobs.org/x/x/01513F81557541B4841ED8F2E2426421/job/

## 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

Technical Program Manager, Data Collection and Model Evaluation (Fixed-Term Contract), DeepMind

Share Technical Program Manager, Data Collection and Model Evaluation (Fixed-Term Contract), DeepMind

corporate_fare DeepMind place Mountain View, CA, USA

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.