Position: Trainer / Instructor / Faculty Emerging Technologies
Company: The DataTech Labs
Department: Learning & Development / Technology Education
Location: Pune; travel to client and institutional locations as required
Experience: Open to suitably skilled freshers and experienced teaching or industry professionals
Designation: Based on qualifications, experience, and institutional requirements
Role Overview
We are seeking an enthusiastic technology educator who enjoys teaching, experimenting, and continuously learning. The role involves delivering practical training in emerging technologies and taking ownership of the complete learning lifecycle—from understanding learner needs and designing curriculum to conducting assessments, measuring outcomes, and improving programs.
The ideal candidate should be willing to learn new technologies, adapt to different learner groups, and participate in every stage of the training process. Candidates are expected to demonstrate depth in one or more relevant domains and a commitment to developing additional capabilities.
Key Technology Areas
Expertise or practical exposure in one or more of the following:
- Artificial Intelligence, Machine Learning, and Generative AI.
- Agentic AI, AI assistants, and workflow automation.
- Prompt engineering and context engineering.
- Data analytics, visualization, and business intelligence.
- Python, SQL, and relevant programming tools.
- Cloud computing, DevOps, and cybersecurity.
- Blockchain, Internet of Things, and other emerging technologies.
- Responsible AI, data privacy, and safe use of digital tools.
Roles and Responsibilities
1. Understand learning needs
- Conduct learner profiling, baseline assessments, and skill-gap analysis.
- Understand institutional, client, and industry requirements.
- Define measurable learning objectives appropriate to the audience.
- Adapt learning plans for school students, college learners, educators, working professionals, and leadership teams.
2. Design curriculum and learning content
- Develop structured curricula, lesson plans, presentations, facilitator guides, and learner handbooks.
- Create demonstrations, hands‑on exercises, case studies, assignments, quizzes, and capstone projects.
- Translate technical concepts into clear explanations and practical applications.
- Maintain content accuracy, version control, and appropriate source attribution.
- Review AI‑generated learning material before using it in training.
3. Prepare for training delivery
- Set up and test software, accounts, lab environments, datasets, and demonstrations.
- Coordinate schedules, learning resources, learner communication, and classroom requirements with the operations team.
- Prepare alternatives for connectivity issues, tool limitations, and learners with different skill levels.
4. Deliver engaging training
- Conduct classroom, virtual, blended, and recorded learning sessions.
- Use demonstrations, discussions, guided practice, problem‑solving, and project‑based learning.
- Adjust teaching pace and methods based on learner understanding.
- Manage classroom participation, respond to questions, and provide constructive feedback.
- Connect concepts to relevant industry and workplace use cases.
5. Assess, mentor, and support learners
- Design and administer assessments aligned with learning objectives.
- Evaluate assignments and projects using clear rubrics.
- Provide doubt‑clearing sessions, mentoring, and additional support where required.
- Guide learners in creating portfolios, practical solutions, and demonstrable project outcomes.
- Maintain fair assessment practices and encourage independent thinking.
6. Manage training operations and documentation
- Maintain attendance, session plans, assessment records, feedback, and progress reports.
- Upload and organize learning materials on the Learning Management System.
- Track course completion and communicate learner or delivery concerns promptly.
- Coordinate with academic, content, technology, sales, and operations teams.
- Support training demonstrations, academic discussions, and proposal inputs when required.
7. Evaluate outcomes and improve programs
- Analyze learner feedback, assessment results, and practical skill development.
- Identify learning gaps and recommend corrective actions.
- Update curriculum based on delivery experience, industry developments, and stakeholder feedback.
- Document lessons learned and reusable teaching practices.
8. Continuously learn and adapt
- Participate in internal training, train‑the‑trainer programs, certifications, and peer reviews.
- Learn new tools and technologies according to program requirements.
- Practise new concepts through working demonstrations before teaching them.
- Accept feedback and demonstrate continuous improvement in technical and teaching capabilities.
- Contribute to the full training process beyond classroom delivery.
Required Qualifications and Skills
- Bachelor’s or master’s degree in Computer Science, IT, Engineering, Data Science, Education, or a related discipline; equivalent practical expertise may be considered.
- Strong conceptual knowledge and hands‑on capability in at least one relevant technology area.
- Ability to explain complex concepts in simple, structured language.
- Good communication, presentation, facilitation, and interpersonal skills.
- Willingness to learn unfamiliar subjects and work across the complete learning lifecycle.
- Ability to create learning content, practical exercises, and assessments.
- Good planning, documentation, coordination, and time‑management skills.
- Comfort with digital collaboration tools, virtual classrooms, and learning platforms.
Preferred Candidate Profile
- Teaching, corporate training, faculty development, mentoring, or industry implementation experience.
- Evidence of practical projects, technical demonstrations, certifications, or published learning content.
- Familiarity with instructional design, outcome‑based education, and project‑based learning.
- Ability to teach in English; Hindi and Marathi communication skills will be an advantage.
- Flexibility to work with diverse learner groups and travel for scheduled programs.
- A patient, curious, accountable approach with a strong commitment to learner success.
Freshers with strong technical foundations, demonstrable projects, and teaching aptitude are encouraged to apply.
Performance Expectations
Performance will be reviewed against agreed measures, including:
- Achievement of learner objectives and practical skill outcomes.
- Quality, accuracy, and timely preparation of learning materials.
- Training delivery effectiveness and learner engagement.
- Timely assessment, feedback, reporting, and documentation.
- Completion of assigned learning and certification goals.
- Contribution to curriculum improvement and team collaboration.
Compensation and Development
Compensation will be based on qualifications, relevant expertise, teaching capability, and the scope of the role. Any performance-linked incentives, travel reimbursements, or allowances will be specified in the offer and governed by company policy.
The role offers opportunities to develop technical expertise, gain exposure to industry use cases, and progress into responsibilities such as Senior Trainer, Subject Matter Expert, Curriculum Lead, or Program Manager.
We are looking for an educator who is equally committed to learning, teaching, and improving the complete learning experience.