LLM Engineering Trainer

GROWAI Edtech; Pune District; Remote; INR 300,000 - 600,000; Part time

Benefits offered by this job

Part-time role

Remote work

Flexible schedule

Job summary

GROWAI Edtech in India invites applications for a part-time remote LLM Engineering Trainer to design and deliver advanced AI training. You will build curriculum, develop hands-on projects, demos, and live online sessions for learners.

The role covers prompt engineering, model evaluation and fine-tuning, and integrating LLMs into applications, while adapting teaching methods for diverse learners and updating content with new tools and research.

Qualifications

• Bachelor’s degree or higher in CS, Data Science, AI/ML, or related field.
• Strong knowledge of LLMs, prompt engineering, evaluation, fine-tuning, and AI safety/ethics.
• Experience creating curricula, tutorials, and project-based learning resources.
• Proven teaching or mentoring ability with clear communication.
• Experience with remote teaching tools and online platforms.
• Prior industry experience in AI, software engineering, or data science involving LLMs/NLP is beneficial.
• Commitment to inclusive, non-discriminatory teaching practices.

Responsibilities

• Design and deliver training on large language models and applied AI engineering.
• Develop curriculum, hands-on projects, demos, and exercises.
• Conduct live online sessions, workshops, or small-group mentoring.
• Assess learner progress and update content with new tools.
• Collaborate with the team to improve program quality and learner outcomes.

Skills

Prompt engineering

LLMs / AI

Model evaluation

Fine-tuning

AI safety & ethics

Curriculum design

Teaching / mentoring

Remote teaching tools

Education

Bachelor’s degree or higher in CS/AI/ML or related field

Tools

PyTorch

TensorFlow

LLM APIs

Job description

Company Description

GrowAI Edtech is an AI-focused education and consulting organization dedicated to training individuals in artificial intelligence and related technologies. The company offers structured, comprehensive programs that help professionals build strong technical foundations and transition into successful AI careers. With expert guidance, mentorship, and practical learning paths, GrowAI Edtech supports learners in developing real-world skills. Team members contribute directly to empowering professionals to thrive in the fast-evolving AI landscape and to making advanced AI knowledge more accessible.

Role Description

The LLM Engineering Trainer is a part-time remote role responsible for designing and delivering training on large language models and applied AI engineering. Day-to-day tasks include developing curriculum and learning materials, preparing hands-on projects, demos, and exercises, and conducting live online sessions, workshops, or small-group mentoring. The trainer will explain core concepts such as prompt engineering, model fine-tuning, evaluation, and integration of LLMs into applications, while adapting teaching methods to different learner levels. Responsibilities also include assessing learner progress, providing feedback, updating content to reflect new tools and research, and collaborating with the team to improve program quality and learner outcomes.

Qualifications

• Strong knowledge of large language models and applied AI (e.g., prompt engineering, model evaluation, fine-tuning, and safety/ethics in AI).
• Proficiency in core technical skills such as Python programming, use of AI/ML frameworks (e.g., PyTorch, TensorFlow, or similar), and working with popular LLM APIs or open-source models.
• Experience creating educational content, including curricula, tutorials, exercises, and project-based learning resources for technical topics.
• Demonstrated teaching, training, or mentoring ability, with clear communication skills and the capacity to explain complex concepts to diverse audiences.
• Comfort with remote work tools and online teaching platforms, and the ability to manage sessions, discussions, and feedback in virtual settings.
• Bachelor’s degree or higher in Computer Science, Data Science, AI/ML, or a related field, or equivalent practical experience.
• Prior industry experience in AI, software engineering, or data science, particularly involving LLMs or NLP, is highly beneficial.
• Commitment to inclusive, non-discriminatory teaching practices and supporting learners from varied backgrounds.