Data Scientist I AIsight, Seoul, Korea

About AIsightAIsight is a global technology company that leverages AI-based eye-tracking and computervision technology to analyze human attention and visual data in innovative ways. We’reredefining how people and technology interact, partnering with global leaders to develop next-generation AI products and solutions.

This role sits at the heart of AIsight’s AI/ML team, contributing to both cloud-based modeldevelopment and infrastructure and on-device (edge) model optimization to bring AI into real-world products.

About the Role

As a Data Scientist (Vision & Multimodal Data), you’ll shape the data foundation that powers AIsight’s AI systems. You’ll collect, clean, and curate datasets captured from our proprietary smart glasses and sensors — ensuring that every model we train reflects the complexity and nuance of real-world conditions.

What You’ll DoCollect & Manage Data: -Coordinate large-scale data collection from camera and sensor-based hardware. -Manage ingestion pipelines for video, image, and multimodal (IMU, depth) data.

Clean & Annotate: -Develop automated cleaning and validation pipelines. -Oversee labeling workflows and ensure data quality across annotation teams.

Curate & Analyze Datasets: -Define dataset structure and coverage; identify data gaps. -Conduct exploratory analysis and develop metrics for dataset quality.

Collaborate with ML Teams: -Partner with engineers to align datasets with training goals. -Maintain documentation for datasets, governance, and version control.

What We’re Looking ForM.S. or Ph.D. in Data Science, Computer Vision, or related field.5+ years of experience in data management and analysis for ML or computer vision.

Expertise in Python (Pandas, NumPy, PyTorch/TensorFlow data APIs).

Experience with labeling tools (CVAT, Label Studio) and dataset versioning (DVC).

Familiarity with cloud-based storage and distributed workflows.

Excellent communication and organization skills.

Bonus Points ForExperience with multimodal datasets (vision + IMU, depth).

Knowledge of ML experimentation, active learning, or data-centric AI.Background in synthetic or privacy-preserving data generation.

Experience collaborating in hardware–software R&D environments.

Why Join AIsightBuild real AI solutions across both Cloud and Edge environments.

Collaborate with global teams and experience the full AI development lifecycle.

Grow your expertise in cutting-edge vision, LLM, and embedded technologies.

Work in a flat, agile, and globally connected startup culture.