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Jobs→FastLabel株式会社→Data Scientist (AI-Ready / Tacit Knowledge Analysis)

Data Scientist (AI-Ready / Tacit Knowledge Analysis)English summary from Japanese

FastLabel株式会社

✓ Detailed
Salary
■給与 年収 600万円〜1,500万円 月給 500,000円~1,250,000円 ・基本給(363,634円~909,085円) ・固定残業手当45時間(125,234円~313,085円)+固定深夜手当20時間(11,132円~27,830円)を含みます ・超過分別途支給
Location
東京本社、ロボットトレーニングセンター(平和島)、並びに客先(首都圏)のいずれか 事業の拡大に伴い新たに拠点が設置された場合は異動の可能性があります。 ■R&Dセンター 東京都大田区平和島6-1-1 東京流通センター センタービル内 ■東京本社 東京都新宿区西新宿2-6-1新宿住友ビル24階 変更の範囲:基本的には予定していません。事業の拡大に伴い新たに拠点が設置された場合は異動の可能性があります。
Job Type
Full-time
Work Style
■勤務制度 フレックスタイム制(5:00-22:00) ※コアタイムあり(10:00-14:00)
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Role summaryEnglish summary from Japanese

English summary for screening — check the original posting before applying.

FastLabel is seeking a Data Scientist to lead AI data projects focused on analyzing and digitizing tacit knowledge from manufacturing sites. This role involves designing data collection, analyzing multimodal data (interviews, video, keypoints, eye-tracking), and developing AI models to structure and automate the extraction of skilled workers' knowledge for AI inheritance. You will contribute to a national project and help build foundational technologies for future robotics AI.

Must-haves

  • Practical Python development experience
  • Linux environment development experience
  • Team development experience using Git/GitHub
  • Development and operation experience with cloud platforms (AWS, GCP, Azure, etc.)
  • Experience analyzing image, video, point cloud, and other data using AI models
  • Knowledge and experience in machine learning/deep learning
  • Experience building training, inference, and evaluation pipelines for models (PyTorch, TensorFlow, JAX, etc.)
  • Theoretical knowledge of general statistics, machine learning, and computer vision
  • Strong interest in people and activities generating data
  • Communication skills for aligning technical requirements
  • Problem-solving ability for uncharted technical challenges

Nice-to-haves

  • Experience in research related to tacit knowledge and embodied knowledge
  • Experience digitizing human movements and analyzing them with linguistic information
  • Experience implementing, training, and evaluating VLA, VLM, and LLM models
  • Knowledge of efficient training and inference methods for large-scale models
  • Experience using libraries like Transformers, PEFT (LoRA/QLoRA), Unsloth, vLLM
  • Experience operating experiment management tools (MLflow, WandB)
  • Experience using workflow engines (Hydra)
  • Experience handling robot datasets (Open X-Embodiment)

Tech stack

PythonLinuxGitGitHubAWSGCPAzurePyTorchTensorFlowJAXVLMsLLMsVLATransformersPEFTLoRAQLoRAUnslothvLLMMLflowWandBHydraOpen X-Embodiment

Work style

Flextime system (5:00 - 22:00, core time 10:00-14:00) with work locations at Tokyo Headquarters, Robot Training Center (Heiwajima), or client sites (Tokyo metropolitan area).

Other notes

Annual salary: 6,000,000 - 15,000,000 JPY. Includes fixed overtime and late-night allowances. Salary is determined based on current income, role, expected mission, and performance level.

About the Company

FastLabel株式会社

Headquarters
東京都新宿区西新宿2-6-1 新宿住友ビル24F
Founded
2020-01
Visit Website
Posted6/29/2026
Sourceherp