AI/NLP Operations Specialist for Smart Support

TikTok USDS Joint Venture

San Jose (CA)

On-site

USD 110,000 - 165,000

Full time

6 days ago
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Job summary

TikTok USDS Joint Venture LLC is seeking an AI/NLP Operations Specialist to optimize our AI-driven customer service platform. You will improve model accuracy for feedback recognition and routing, partnering with algorithm teams to drive data-driven improvements across the support workflow.

The role requires a strong business sense, hands-on experience with NLP models, and the ability to translate technical concepts for non-technical stakeholders.

Qualifications

  • Bachelor's degree with 2+ years of relevant experience in operations (AI/NLP operations, product operations, or data analysis) or equivalent practical experience (e.g., 4+ years of relevant experience without a degree).
  • Strong understanding of NLP models (e.g., BERT, GPT) and their practical business applications.
  • Quick to learn and adapt, with the ability to master complex business processes and AI logic.

Responsibilities

  • Model optimization and strategy in collaboration with algorithm teams to refine NLP models and routing.
  • Design and maintain a business label structure to enhance training and classification quality.
  • Data labeling processes with customer service teams and regular quality reviews of model outputs.
  • Cross-team communication translating AI concepts for non-technical stakeholders.

Skills

NLP knowledge
Analytical thinking
Stakeholder communication
Learning agility

Education

Bachelor's degree
4+ years experience without degree

Tools

NLP platforms

Job description

TikTok USDS Joint Venture LLC is seeking an AI/NLP Operations Specialist to optimize our AI-driven customer service platform. You will improve model accuracy for feedback recognition and routing, partnering with algorithm teams to drive data-driven improvements across the support workflow.

The role requires a strong business sense, hands-on experience with NLP models, and the ability to translate technical concepts for non-technical stakeholders.

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