Non-Technical AI Trainer / Applied AI Trainer

Non-Technical AI Trainer / Applied AI Trainer

Location:

Hyderabad / Secunderabad

Employment Type:

Full-Time / Contractual

Work Mode:

Primarily On-site

Experience:

3–6 years

Qualification:

Bachelor’s degree or equivalent; MBA / business-related qualification is an advantage

About the Role

We are looking for a Non-Technical AI Trainer / Applied AI Trainer

who can help working professionals and learners understand how to use Generative AI effectively in real-world professional environments.

This is not a coding, AI/ML engineering, or data science role

.

The ideal candidate will be a strong AI practitioner who understands how Generative AI can be applied across business functions such as Marketing, Sales, Human Resources, Finance, Operations, Administration and other professional workflows

.

The role combines AI expertise, business understanding, training/facilitation and professional judgment

. The trainer should be able to move beyond simply demonstrating AI tools and teach learners how to use AI responsibly, critically evaluate outputs, improve their workflows and apply AI to practical workplace situations.

Key Responsibilities 1. Deliver Practical Generative AI Training

• Conduct instructor-led training sessions on Generative AI and its practical applications.
• Explain AI concepts, capabilities, limitations and appropriate use cases in a simple, non-technical manner.
• Demonstrate practical applications of leading AI tools such as ChatGPT, Claude, Gemini, Microsoft Copilot and other relevant platforms.
• Teach participants how to select the appropriate AI tool based on the task, context and desired outcome.
• Keep training practical, business-oriented and relevant to real workplace scenarios.

2. Prompting & AI Interaction

• Teach practical prompting methodologies and frameworks.
• Help learners structure effective instructions, provide context, establish constraints and improve AI responses.
• Demonstrate iterative prompting and refinement techniques.
• Teach learners how to move from basic AI queries to structured professional workflows.
• Develop practical exercises that require learners to apply AI rather than simply observe demonstrations.

3. AI Output Evaluation & Quality Control

• Teach learners how to critically evaluate AI-generated content.
• Establish practical methods for checking accuracy, relevance, completeness, consistency and potential bias.
• Demonstrate fact-checking and verification techniques.
• Help learners identify hallucinations, unsupported claims and unreliable AI outputs.
• Review learner assignments and provide constructive, actionable feedback.
• Evaluate whether learners have used AI appropriately rather than merely producing an acceptable final answer.

The ability to critically assess another person’s professional work is an important part of this role.

4. Business & Functional AI Applications

• Facilitate practical sessions demonstrating how AI can be incorporated into everyday professional workflows.
• Help learners identify suitable AI use cases within functions such as:
• Marketing
• Sales
• Human Resources
• Finance
• Operations
• Administration
• Customer-facing functions
• Conduct workflow-mapping exercises to identify opportunities for AI-assisted work.
• Help learners distinguish between tasks that should be automated, AI-assisted or handled entirely by humans.
• Develop practical business cases and examples based on real workplace scenarios.

5. No-Code AI & Workflow Automation

• Introduce learners to practical no-code AI workflows and automation.
• Demonstrate tools such as Zapier, Make and comparable AI-enabled automation platforms.
• Demonstrate AI-assisted workflows involving multiple tools and applications.
• Help learners understand basic AI chaining and workflow automation without requiring programming knowledge.
• Demonstrate the practical use of custom GPTs, AI assistants, Gems or comparable no-code AI solutions.

Programming or software development expertise is not required for this position.

6. Assignments, Projects & Capstone Evaluation

• Design and conduct practical assignments and workplace-based exercises.
• Evaluate individual learner submissions using defined assessment rubrics.
• Provide specific feedback on quality, reasoning, application and professional relevance.
• Facilitate practical projects and capstone activities.
• Assess whether learne…