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Knowledge & AI Optimization Intern (AI)
4 480 - 4 800$
Описание вакансии
Текст:
TL;DR
Knowledge & AI Optimization Intern (AI Engineering): Support and improve AI-driven knowledge base systems to enhance user experience and responsible AI practices with an accent on data governance, content accuracy, and AI optimization. Focus on analyzing data, curating AI content, and collaborating cross-functionally to reduce customer queries and improve satisfaction.
Location: Remote within Eastern and Central US time zones
Salary: $28–30/hour depending on education level
Company
Global leader in information and analytics supporting science, research, health education, and clinical practice through innovative technologies.
What you will do
- Maintain and improve the knowledge base content for accuracy and consistency.
- Collaborate with cross-functional teams to align knowledge strategies and KPIs.
- Analyze data and customer feedback to identify improvement opportunities.
- Curate and validate AI-generated content ensuring compliance with data privacy and ethical standards.
- Support AI optimization tasks including data cleaning, tagging, classification, and fact-checking.
- Lead a capstone project focused on driving web strategies to reduce queries and enhance customer satisfaction.
Requirements
- Must be currently pursuing a bachelor’s or master’s degree with graduation by May 2027
- Fluent in English
- Understanding of AI concepts, machine learning, and NLP.
- Proficiency in Python and R programming languages.
- Experience with data processing, analysis, and cloud platforms (AWS, Google Cloud, Azure).
- Effective communication and customer-focused problem-solving skills.
Culture & Benefits
- Remote work within US Eastern and Central time zones.
- Opportunity to gain hands-on experience in AI and data analytics.
- Part of the Rising TIDE internship program fostering inclusion and career development.
- Collaborative and innovative team environment valuing trust, respect, and quality.
- Competitive hourly pay based on education level.