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Job Summary:
Dyna Robotics is a company focused on creating general-purpose robots powered by advanced AI technology. They are seeking an AI Data Strategist to define data requirements that enhance model improvement across their robotics platform, emphasizing strategy over operational execution.
Responsibilities:
• Define Data Collection Priorities
• Identify lifecycle gaps: Maintain a clear, comprehensive view of where the data lifecycle has gaps, from pre-training through post-training.
• Direct collection efforts: Prioritize what the data collection team should focus on next, clearly distinguishing between data that merely adds volume and data that actually drives model performance.
• Design Evaluation & Quality Frameworks
• Set the standard: Define how robot episodes should be labeled and determine what rubrics and taxonomies capture meaningful signal.
• Establish quality benchmarks: Define what "good data" looks like for each task and model stage so the labeling team can execute flawlessly against your standards.
• Extract Signal from Operations
• Translate field realities: Partner closely with the operations team to understand what is happening in the field, including shift handoffs, collection quality, and deployment issues.
• Inform data strategy: Act as a strategic consumer of operations output, translating real-world operational realities into high-impact data strategy decisions without directly managing the operations team.
• Build Data Lifecycle Observability
• Define health metrics: Establish the metrics that measure the health of each phase of the data pipeline, including collection coverage, label quality, evaluation consistency, and model feedback loops.
• Drive visibility: Create a real-time, organization-wide view of data lifecycle health.
Qualifications:
Required:
• 4-8+ years of experience working in AI/ML, robotics, autonomy, or data-centric systems roles.
• Proven experience defining data quality standards, evaluation frameworks, annotation systems, or data strategy for machine learning products.
• Experience working closely with cross-functional teams, including ML researchers, operations, annotation teams, and engineering.
• A deep understanding of how deployment failures, edge cases, and real-world operational data translate into model training and evaluation improvements.
Preferred:
• Experience operating in fast-moving, ambiguous startup or R&D-heavy environments.
• Experience with embodied AI, video, or time-series data.
• Familiarity with evaluation pipelines, active learning, or data-centric AI.
• Exposure to annotation tooling such as Labelbox, Scale, CVAT, Encord, or Voxel51.
Company:
Dyna Robotics develops advanced robotic manipulation models to automate repetitive and stationary tasks. Founded in 2024, the company is headquartered in Redwood City, USA, with a team of 11-50 employees. The company is currently Early Stage.