Artificial Intelligence has moved beyond being a niche field and has now become a core component of modern technology-driven industries. From intelligent chatbots and automated content generation to predictive analytics and enterprise automation, AI systems are shaping the future of work. At the center of these advancements are Large Language Models (LLMs), which rely heavily on structured, high-quality data and well-defined training methodologies.
Understanding this growing demand, Green Rider Technology LLP, in collaboration with the AICTE Internship Portal, has announced a Highest Stipend ₹30,000 LLM Training AI Internship. This opportunity is specifically designed for engineering students who want real-world exposure to AI workflows, data curation, and LLM training in a professional, in-office environment.
Unlike many short-term internships that focus only on observation, this program emphasizes hands-on execution, guided mentorship, and industry-aligned learning outcomes. As a result, students gain practical experience that directly enhances their employability in AI and data-driven roles.
LLM Training AI Internship Listed on AICTE Internship Portal
The AICTE Internship Portal serves as a trusted platform for students across India to access verified and quality internship opportunities. The listing of this internship on the AICTE portal adds credibility and assures students that the program follows structured guidelines aligned with industry and academic expectations.
Moreover, internships available on the AICTE Internship Portal are designed to help students bridge the gap between classroom learning and professional requirements. This LLM Training AI Internship by Green Rider Technology LLP is a strong example of that vision, offering both learning value and financial support.
Overview of the LLM Training AI Internship Program
The LLM Training AI Internship is a full-time, paid, in-office program that focuses on the practical aspects of training Large Language Models. Although the internship duration is limited to one month, the exposure and skill development achieved during this period are substantial.
Key Internship Details
- Internship Type: Full-Time, In-Office
- Duration: 1 Month (30 Days)
- Start Date: Immediately
- Stipend: ₹30,000 per month (Highest stipend for this category)
- Location: Udyog Vihar Phase 1, Sector 20, Gurugram, Haryana
- Apply By: 30 January 2026
- Number of Openings: 500
- Laptop Requirement: Candidates must bring their own laptop
Since this internship is conducted entirely in-office, interns gain first-hand exposure to professional work culture, collaborative environments, and real-time problem-solving scenarios.
About Green Rider Technology LLP
Green Rider Technology LLP is a technology-focused organization working actively in the Artificial Intelligence domain. The company specializes in building scalable AI solutions that rely on well-trained Large Language Models and high-quality datasets.
Through its internship initiative listed on the AICTE Internship Portal, Green Rider Technology LLP aims to nurture future AI professionals by providing structured training, real project exposure, and continuous mentorship. Interns are encouraged to participate actively, ask questions, and contribute meaningfully to ongoing AI development projects.
Objective and Vision of the Internship
The primary objective of this internship is to introduce students to the real-world process of LLM training. Instead of limiting learning to theory, the program focuses on execution, data quality, and workflow understanding.
More importantly, the internship helps students learn:
- How real-world datasets are collected and refined
- Why data quality directly impacts LLM performance
- How AI workflows are implemented in industry settings
- What standards organizations follow while training LLMs
Through this structured approach, interns develop clarity about how advanced AI systems are built and maintained.
Internship Structure and Learning Framework
The internship follows a step-by-step learning model designed to ensure steady progress throughout the 30-day period. Each phase introduces new responsibilities while reinforcing previously learned concepts.
Roles and Responsibilities of Interns
During the internship, participants will be involved in:
- Data curation for Large Language Model training
- Cleaning, organizing, and structuring datasets
- Understanding annotation and labeling standards
- Verifying dataset accuracy and consistency
- Collaborating with AI engineers and technical mentors
As the program progresses, interns gradually take ownership of tasks, which enhances confidence and practical competence.
Key Learning Outcomes of the LLM Training AI Internship
Despite its short duration, the internship delivers significant learning outcomes that align with industry expectations.
Hands-on Exposure to AI and LLM Workflows
Interns gain practical exposure to workflows used in training Large Language Models. This includes understanding data pipelines, preprocessing techniques, and validation methods. Consequently, students develop a realistic understanding of AI system development.
Practical Experience in Dataset Creation
Since datasets are the foundation of LLM training, interns learn how to build structured, high-quality datasets. This experience is particularly beneficial for students planning careers in AI research, data science, or machine learning engineering.
Guidance from Industry Professionals
Throughout the internship, experienced mentors provide continuous guidance. As a result, interns not only improve technical skills but also strengthen analytical thinking and problem-solving abilities.
Focused and Time-Efficient Learning
Because the program lasts only 30 days, the learning process remains focused and outcome-driven. Each task contributes directly to skill enhancement, ensuring efficient use of time.
Eligibility Criteria for the Internship
To maintain the relevance and quality of the program, the eligibility criteria are clearly defined.
Educational Qualification
Applicants must be pursuing or have completed:
- B.Tech / B.E. or equivalent degree
Eligible Specializations
Candidates must belong to one of the following streams:
- Artificial Intelligence and Machine Learning
- Artificial Intelligence and Data Science
- Computer Engineering and Applications
- Computer Science and Engineering
- Computer Science and Information Technology
- Computer Science and Technology
Additional Requirements
Applicants should also:
- Be available for the full 1-month duration
- Possess relevant skills and a genuine interest in AI
- Be comfortable with an in-office working environment
Selection Process Through AICTE Internship Portal
The selection process is designed to identify candidates with strong analytical abilities and a clear understanding of AI fundamentals.
Stage 1: Aptitude Assessment
This stage evaluates:
- Analytical thinking
- Logical reasoning
- Basic technical knowledge
It ensures that candidates are prepared to handle AI-related tasks effectively.
Stage 2: Personal Interview
Shortlisted candidates appear for a personal interview, during which evaluators assess:
- Clarity of thought
- Technical fundamentals
- Problem-solving approach
- Communication skills
Only candidates who demonstrate strong potential and motivation are selected.
Internship Terms and Conditions
Before applying through the AICTE Internship Portal, candidates should be aware of the engagement terms:
- The internship is strictly in-office
- Location: Gurugram, Haryana
- Duration: 30 days
- Interns must bring their own laptops
Professional discipline and adherence to organizational guidelines are expected throughout the internship period.
Certification and Professional Recognition
Upon successful completion, interns receive an Internship Completion Certificate from Green Rider Technology LLP.
Why This Certificate Matters
- Validates hands-on experience in LLM training
- Enhances resumes and LinkedIn profiles
- Improves employability in AI and data-related roles
Although academic credits are not awarded, the industry exposure and certification significantly strengthen a student’s professional profile.
Career Benefits and Future Scope
This internship acts as a strong foundation for students aiming to build long-term careers in Artificial Intelligence and Machine Learning.
Long-Term Advantages
- Better understanding of AI development lifecycles
- Improved readiness for advanced internships and job roles
- Increased confidence in handling real-world AI projects
Moreover, practical exposure often provides a competitive edge during interviews and technical evaluations.
How to Apply for the Internship
Interested candidates must apply through the AICTE Internship Portal before 30 January 2026. Since there are 500 openings, early application is strongly recommended.
Applicants should ensure they meet all eligibility criteria and prepare for the aptitude assessment and interview process.
Conclusion
The Highest Stipend ₹30,000 LLM Training AI Internship on the AICTE Internship Portal offered by Green Rider Technology LLP is an excellent opportunity for engineering students seeking practical exposure to Large Language Model training. With structured mentorship, real-world project involvement, and a competitive stipend, this internship delivers both learning and financial value.
For students serious about building a future in Artificial Intelligence, this program provides a strong stepping stone from academic theory to industry-ready skills.
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