About the Company
A startup focused on solving the "data preparation challenge" that many companies face in AI development.
The company provides a cloud-based platform for data collection and annotation, enabling efficient preparation of high-quality datasets required for AI model development and operation.
Their services include a centralized AI data platform, pre-built datasets across various domains, and custom AI model development solutions. The company supports global AI utilization through smartphone apps and a multilingual, multi-region data collection network.Role Overview
They are seeking an ML Engineer to join the R&D team, responsible for data preparation and optimization for AI models.
You will lead efforts to improve the performance of products by managing datasets for training, evaluation, and model improvement, collaborating with internal and external teams.
Key ResponsibilitiesDesign, create, and preprocess datasets for AI model training
Improve data quality and annotation accuracy
Prepare data for LLMs, object detection models, and other AI models
Optimize data collection and management workflows with cross-functional teams
Improve model training and evaluation processes
Required Skills & Experience
Experience developing and operating ML models using Python or similar
Experience in data preprocessing, cleaning, and annotation management
Basic statistics and data analysis skills
Preferred Skills
Experience creating training data for LLMs or VLMs
Experience handling multilingual, image, or video datasets
Experience building data pipelines in cloud environment
Ideal Candidate
Passionate about improving AI data quality and preparing high-quality datasets
Eager to adopt new technologies and methodologies
Team-oriented with strong communication and collaboration skills
Able to leverage frontend, backend, and cloud technologies to improve the data platform
Compensation & Benefits
Annual Salary:
¥6,000,000 – ¥12,000,000
Health check-ups and flu vaccinations
Support for books, conferences, and internal study sessions
Company meals and 1-on-1 mentoring
Free drinks, monitor provision, and vending machine access
Work Location
Tokyo, Chiyoda-ku.
Holidays & Leave
Summer break, year-end/New Year
Bereavement, maternity/paternity, childcare, menstrual leave
Paid annual leave
Why Join?
Work directly on dataset preparation and model improvement in cutting-edge AI projects
Gain experience with AI adoption in large enterprises and global projects
Engage in all processes from data collection to annotation, training, and evaluation
Contribute to next-generation AI projects (RAG/LLM/VLM) from an early stage
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