AI & Robotics Data Preprocessing Engineer

Persona AI, Inc.; Pensacola, Northern (FL, KY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Bonus

Medical benefits

Equity

PTO

Winter break

Job summary

Persona AI, Inc. is seeking an AI Engineer for robotics data preprocessing to architect systems that turn raw multimodal data into high-fidelity training assets for humanoid robots. You will design data pipelines, validate cross-modal signals, and ensure data quality for scalable model training.

The role emphasizes deep learning with Python/PyTorch, video processing, and 3D robotics data. You will collaborate with cross-functional teams to advance teleoperation and data curation.

Qualifications

• MS or PhD in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field.
• Proficiency in Python and PyTorch with multimodal dataloaders.
• Experience with force-time-series data and sensors.
• Video processing with OpenCV, FFmpeg, Decord.
• Strong knowledge of 3D geometry and robotics data (URDF, transforms).
• Experience implementing data augmentation for CV and time-series data.

Responsibilities

• Design cross-modal validation to verify video, proprioception, force/haptic signals, and language annotations align.
• Orchestrate hand-tracking, depth estimation, 3D reconstruction, and pose-tracking; retarget demonstrations into robot trajectories.
• Implement robust data augmentation to expand expert trajectories and improve model robustness.
• Develop teleoperation synchronization with unified state–action representations across embodiments and sensors.
• Build tooling to query, visualize, and audit datasets (clip viewers, trajectory viewers, annotations).
• Architect end-to-end multimodal data pipelines for ingestion and indexing of training-ready datasets.

Skills

Python

PyTorch

Multimodal data

Video processing

OpenCV

3D geometry

Data augmentation

Tools

Decord

URDF

OpenX-Embodiment

Job description

Persona AI, Inc. is seeking an AI Engineer for robotics data preprocessing to architect systems that turn raw multimodal data into high-fidelity training assets for humanoid robots. You will design data pipelines, validate cross-modal signals, and ensure data quality for scalable model training.

The role emphasizes deep learning with Python/PyTorch, video processing, and 3D robotics data. You will collaborate with cross-functional teams to advance teleoperation and data curation.