AI Recruiting Operations and Analytics

AI Recruiting Ops & Analytics Intern
 

About OCBridge

OCBridge is an AI-powered global recruitment firm supporting the world’s leading tech, eCommerce, manufacturing, and renewable energy companies in hiring talent across the U.S., Europe, and APAC. We develop advanced AI Agent tools to deliver high-impact recruitment solutions with exceptional efficiency.

As we scale, we’re seeking a highly adaptable AI Recruiting Operations and Analytics Intern to contribute to data-driven recruiting initiatives, support AI model improvement, and drive operational excellence across our global workflows. This internship offers hands-on exposure at the intersection of Recruitment AI, business operations, and data analytics, making it ideal for students/new grads who want to build both entrepreneurial skills and cross-functional experience in a fast-paced startup environment.

What You’ll Do

• Learn and support AI-powered talent sourcing workflows for global recruitment needs
• Follow up with candidates sourced by AI models and coordinate candidate scheduling for interviews with account managers
• Analyze the performance of virtual sourcers and propose optimization solutions
• Tag and validate candidate data to improve AI training and talent-matching accuracy
• Contribute to LLM model fine-tuning and iteration cycles to enhance AI performance
• Develop web-scraping scripts to support data enrichment and automation
• Operate and incubate Virtual Sourcer accounts to ensure delivery readiness and quality control
• Complete ad-hoc strategic tasks assigned by the CEO with a proactive, execution-focused mindset
   

Who You Are

• A current undergraduate or graduate student with strong interest in business operations, recruiting technology, business analytics, or business strategy
• Proficient in both English and Chinese, written and spoken, with the ability to work effectively in a bilingual and cross-cultural context
• Comfortable with Python and SQL, with some familiarity in data scraping tools (e.g., Selenium, BeautifulSoup, Scrapy) and GitHub for collaboration.
• Exposure to LLM model training and fine-tuning is welcome, but not required.
• Brings an analytical and curious mindset, able to shift between  operational tasks and business problem-solving in fast-changing situations.
• Strong communication skills to collaborate with both technical and non-technical stakeholders, combined with initiative, accountability, and resilience under pressure.
• Detail-oriented and precise, ensuring accuracy and quality whether validating data, tuning models, or supporting automation workflows.
• A fast learner, skilled at leveraging AI tools to solve problems efficiently and iterate quickly.

What You’ll Gain

• Real-world experience at the intersection of business operations, data analytics, and AI technology
• Hands-on exposure to AI model fine-tuning, performance analytics, and workflow optimization
• Practical application of Python scripting and automation in a global business setting
• Development of key soft skills: adaptability, cross-functional communication, problem-solving, and resilience in a startup environment
• Mentorship and collaboration with leaders across Recruiting, Technology, and CEO
• A high-impact internship with measurable contributions and potential for future return offers