LLM Intern - Remote at Springer Capital · Remote only · 0 - 1 years · ₹5000 - ₹5500 / mo · Profitable · Remote only · Posted 12 Jun 2026

Springer Capital is a real estate investment firm based in Chicago, Shanghai, and Hong Kong. Springer engages in Capital Advisory for APAC Private Equity and Asset Management making financial investments in real estate and other sectors in US markets.
Springer seeks an Remote LLM Intern to join the Technology side of the company. The internship can be onsite in Shanghai or conducted remotely. The start date of the internship is flexible.
Job Highlights
As an intern for the LLM team, you will be focusing on researching and developing AI tools that automate some parts of our business automation. As business automation is important throughout the firm, you will have the opportunity to collaborate with teams across Springer.
What you will do as an intern:
Answer various business challenges using data generated through AI software.
Designing, monitoring, and implementing solutions to extract data using existing AI tools.
Report your findings in AI data to your manager.
Our commitment to your development:
Overarching and detailed training materials before interns hit the desk
Interns will have group calls with the director and supervisors regularly for up-to-date and constructive feedback
Greater leadership and responsibilities will be given to interns based on work quality
Who we are looking for:
Strong experience using Excel.
Passionate about analyzing data.
Experience (preferred) with data analysis.
Research and problem-solving abilities.
About Springer:
Springer Capital focuses on raising capital and solving capital issues in the real estate private equity market. We have experience raising capital for clients across the entire capital spectrum. Client relationships are a top priority for Springer. We establish long-term relationships with investors and lenders as well as have active dialogues with private equities, family offices, pension funds, infrastructure funds, and independent sponsors across Asia. With Springer’s expertise in the housing market, we ensure all parties are aligned in land acquisitions, development, improvements, sales, and lease-up.
Technical and legal Information
The internship enrollment period is flexible. The expected hours are 20 per week for ~3 months. Upon completion, you will receive an internship confirmation letter, or you can apply to your school for internship credit.
Some educational institutions require prior approval before the start of an internship. It is the responsibility of the student to check with their institution to be sure they meet any requirements before they accept a position.

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About the Role
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- Evaluate model outputs and improve accuracy, efficiency, and reliability.
- Collaborate with developers, data scientists, and product managers to implement AI-driven features.
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- Strong interest in Artificial Intelligence, NLP, and Machine Learning.
- Familiarity with Python and ML libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
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- Knowledge of APIs (OpenAI, Anthropic, Hugging Face, etc.) is a plus.
- Good analytical and problem-solving skills.
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What You’ll Gain
- Practical exposure to state-of-the-art AI tools and LLMs.
- Mentorship from AI and software professionals.
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- Letter of Recommendation based on performance.
- Experience to showcase in research projects, academic work, or future AI roles.
Internship Details
- Duration: 3 months
- Location: Remote (Work from Home)
- Stipend: Unpaid
- Perks: Completion Certificate + Letter of Recommendation
Job Description:
Join us at Springer Capital, a corporate inclusion training company dedicated to promoting diversity and equity within the workplace.
Our mission is to transform organizational cultures and achieve justice by creating environments where every individual is valued and feels a sense of belonging. Through providing training for workplace inclusion, understanding microaggressions, mitigating bias, and cultural literacy, Springer Capital seeks to eliminate bias and establish a just, fair working environment.
As a Data Automation Intern, you will be focusing on researching and developing tools and workflow that automate some parts and processes of our business automation. Since business automation is important throughout the firm, you will have the opportunity to collaborate with various teams across Springer Capital.
Key Responsibilities:
- Collect data from various sources, including databases, APIs, and web scraping tools.
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- Analyze data to extract insights using computational tools, such as Excel, SQL, and Python.
- Communicate insights in a clear and concise manner with the manager alongside your progress.
- Implement solutions based on insights you discovered to improve Springer Capital business’ processes or solve problems for client.
Qualifications:
- Passion for Inclusion: A strong commitment to fighting inequality and promoting inclusion in the workplace.
- Educational Background: Currently enrolled in or recently graduated from a degree program related to social sciences, human resources, business, statistics.
- Communication Skills: Excellent written and verbal communication skills. Ability to create clear and engaging content.
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Compensation and Expectations:
- This internship is remote and unpaid. Interns are expected to work 15-20 hours a week.
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- B.Tech, M.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
- Students pursuing Computer Science, Artificial Intelligence, Data Science, Information Technology, Mathematics, or related fields.
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What You Will Learn
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✅ Data Preprocessing & Model Training
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Benefits
✅ Internship Completion Certificate
✅ Letter of Recommendation (Performance-Based)
✅ Hands-on AI & ML Project Experience
✅ Professional Mentorship & Guidance
✅ Resume & LinkedIn Profile Enhancement
✅ Portfolio Development Support
✅ Exposure to Real-World AI Applications
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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- Letter of Recommendation based on performance.
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- B.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
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