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VESSL AI

GPU cloud platform for AI workloads

HR Operations - Junior

HR Operations & Coordination +1Confirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedHybrid

About the Job

Requirements

  • Have 3–5 years of hands-on experience as an HR Generalist at a fast-growing tech startup.
  • Understand work objectives and priorities and complete assigned work independently without detailed guidance.
  • Communicate opinions clearly, collaborate smoothly, respect team direction and decisions, and adapt flexibly.
  • Respond flexibly to a rapidly changing environment and new tasks, and demonstrate strong execution.

Responsibilities

  • Manage HR operations across the employee lifecycle, including onboarding and offboarding, attendance, leave, and benefits.
  • Accurately manage HR data and automate repetitive tasks using AI to build stable and efficient HR operations systems.
  • Participate in planning and operating people programs, including performance evaluation, organizational culture, and employee experience, and continuously improve them using employee feedback and data.
  • Manage candidate communications and interview processes proactively to create a distinctive candidate experience and maximize recruiting operations efficiency.
  • Identify new HR needs in a rapidly growing organization and solve them with the People Team.

Desired Qualifications

  • Experience with labor inspections and a strong understanding of labor relations law.
  • Experience planning, operating, or improving performance evaluation systems or organizational culture programs.
  • Experience independently handling government liaison work such as managing a company-affiliated research institute or a designated military service company.
  • Experience operating and improving HR systems such as HRIS and ATS.
  • Ability to work in English in a global environment.

About the Company

VESSL AI

GPU cloud platform for AI workloads

What VESSL AI does: It runs VESSL Cloud, a GPU cloud platform built for AI workloads. It gives teams on-demand access to high-end GPUs (A100, H100, B200, B300, GB200) to run activities like LLM fine-tuning, large-scale model training, and AI inference. How it works: Users launch GPU instances in VESSL Cloud from VESSL’s own data center infrastructure, paying per minute for usage, and using the platform to accelerate AI development without managing physical hardware. How it stands out: It operates its own data center and offers per-minute billing, delivering up to 80% cost savings versus AWS and GCP, focusing specifically on AI workloads rather than general-purpose cloud services. What the goal is: To help AI teams move quickly from idea to production by removing infrastructure overhead and providing scalable, affordable GPU resources for AI work.

Company size
51-200
Company stage
Series A
Total funding
$16.6M
Headquarters
San Francisco, CA
Founded
2020

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