Job Title:
AGI Data Engineer / Knowledge Labeling Architect
Location:
Remote or based in Japan (with occasional overseas travel)
Target Regions:
EU, India, USA, Southeast Asia, Middle East
Industry:
Scientific Data / Analytical Equipment
About MetaSensing
MetaSensing is a Japan-based deep-tech company pioneering AI-driven materials science, sensing, and autonomous manufacturing.
We are developing AGI systems that learn directly from real-world experiments
— integrating data from Raman, IR, LIBS, and robotics into an intelligent, self-evolving scientific network.
Our mission:
“From Data Analysis to Autonomous Discovery.”
We are building
the world’s first AI Scientist
— a system that can reason, experiment, and discover autonomously.
Role Overview — AGI Data Engineer / Knowledge Labeling Architect
You will play a core role in shaping the intelligence of MetaSensing’s AGI models by curating, structuring, and labeling multimodal scientific data
.
This is not routine annotation — it is
knowledge design for artificial scientists
.
You will help AGI understand the real physical world: spectra, images, experiments, and materials behavior.
Key Responsibilities
- Curate and structure multimodal datasets (spectra, images, text, lab logs, parameters, etc.)
- Design and apply labeling schemas for
scientific concepts, experimental variables, and causal relations
- Build structured datasets linking Structure–Process–Property (SPP)
relationships
- Collaborate with AI engineers to integrate labeled data into LLM / Vision / Robotics pipelines
- Develop data validation protocols and quality metrics for AI learning
- Support dataset versioning and automated labeling pipelines (Python / n8n / custom scripts)
Preferred Skills & Experience
- Experience in data curation, labeling, or dataset design for AI/ML projects
- Background in materials science, chemistry, physics, or related domains is highly valued
- Familiarity with Python, Pandas, JSON, or SQL for data preprocessing
- Understanding of multimodal data (text + image + spectrum + time series)
- Curiosity for scientific reasoning and how AI learns from data
- Strong sense of detail, data quality, and reproducibility
Ideal Candidate
- You are passionate about teaching AI to “understand” real-world science.
- You think in terms of
relationships, not just labels
— what connects cause and effect.
- You want to be part of a team creating
AGI for scientific discovery
.
- You value precision, curiosity, and elegant data design.
Why Join MetaSensing
- Work on the
frontier of AGI, robotics, and materials science
- Contribute to the creation of the world’s first AI-native laboratory OS
- Join an agile, visionary deep-tech startup with global reach (Japan, EU, Singapore, India, UAE)
- Career growth in AI research & data architecture
📩
How to Apply:
Send your portfolio, GitHub, or sample dataset projects to
