26 Oct
|
Quality Thought Infosystems (India) Private
|
Secunderabad
26 Oct
Quality Thought Infosystems (India) Private
Secunderabad
Job Title: Part-Time Technical Trainer
Engagement Type: Part-Time / Freelance / Contract
Training Mode: Online on Weekdays | Offline on Weekends
Compensation: Hourly Basis (Negotiable Based on Experience and Expertise)
Technology: Open to All Technologies
Target Candidates: Working Professionals from Product-Based Companies such as Deloitte, Microsoft, Amazon, L&T; and many more
About the Prospect
We are looking for experienced and passionate Technical Trainers who are currently working or have previously worked with reputed product-based companies, MNCs, and leading organizations such as Amazon, Microsoft, L&T;, Deloitte, and other industry-leading companies.
This opportunity is ideal for industry professionals who want to share their technical expertise, mentor aspiring professionals, and contribute to the development of industry-ready talent alongside their regular employment.
We welcome trainers from diverse technical backgrounds, irrespective of their technology or domain specialization.
Roles and Responsibilities
Deliver technical training sessions to students, working professionals, and corporate learners.
Conduct online training sessions on weekdays and offline classroom training sessions on weekends, based on mutual availability.
Develop and deliver structured training content aligned with current industry requirements.
Provide hands-on demonstrations, practical exercises, real-time use cases, and project-based learning.
Share industry best practices, implementation strategies, and insights from professional experience.
Mentor learners on technical concepts, practical applications, and industry expectations.
Conduct assessments, assignments, coding exercises, and practical evaluations, wherever applicable.
Clarify learners doubts and provide constructive feedback to improve their technical skills.
Keep training content updated with emerging technologies, tools, frameworks, and industry trends.
Coordinate with the training team to plan schedules, learning objectives, and session deliverables.
Eligibility Criteria
Currently working or previously employed in reputed product-based companies, MNCs, or established organizations such as Amazon, Microsoft, L&T;, Deloitte, and similar companies.
Strong technical knowledge and practical experience in at least one technology or domain.
Relevant industry experience, preferably 3+ years. However, candidates with exceptional technical expertise and strong training capabilities may also be considered.
Good communication and presentation skills.
Ability to explain complex technical concepts in a simple, structured, and practical manner.
Prior training, mentoring, knowledge-sharing, or teaching experience is preferred but not mandatory.
Willingness to conduct online sessions on weekdays and offline sessions on weekends, subject to availability.
Ability to create or adapt training materials, practical exercises, and project-based assignments.
Technologies and Domains
We welcome trainers from all technologies and technical domains, including but not limited to:
Software Development
Java, Python, C, C++, .NET, JavaScript
Full Stack Development, React, Angular, Node.js
Cloud Computing and DevOps
AWS, Microsoft Azure, Google Cloud Platform
Docker, Kubernetes, Jenkins, CI/CD
Data and Artificial Intelligence
Data Science, Data Analytics, Machine Learning
Generative AI, Agentic AI, Deep Learning
Power BI, Tableau, SQL, Big Data
Enterprise Technologies
SAP, Salesforce, Oracle
ServiceNow,
Microsoft Dynamics 365
Testing and Automation
Manual Testing, Automation Testing
Selenium, API Testing, Performance Testing
Cybersecurity and Infrastructure
Cybersecurity, Ethical Hacking, Networking
Linux Administration, IT Infrastructure
Emerging and Specialized Technologies
Blockchain, Internet of Things (IoT)
Robotics, Embedded Systems, and other specialized technical domains
Professionals from other technologies and specialized domains are also encouraged to apply.
Training Schedule and Engagement Model
Weekdays: Online training sessions, scheduled based on trainer availability.
Weekends: Offline classroom training sessions at the designated training location.
Flexible Engagement: Trainers can choose assignments based on their expertise, availability, and mutual agreement.
Session Duration: Based on the training program and agreed schedule.
Engagement Type: Part-time, freelance, or contract-based assignments.
Compensation and Commercials
Compensation will be offered on an hourly basis, depending on the trainer's experience, technical expertise, domain specialization, and training capabilities.
The hourly rate will be mutually discussed and finalized before the commencement of training.
Commercials may vary depending on the technology, training complexity, audience level, and delivery mode.
Payment terms and schedules will be communicated and agreed upon before the engagement begins.
Why Join Us
Earn additional income alongside your existing professional commitments.
Share your industry knowledge and real-world technical expertise.
Mentor aspiring professionals and contribute to their career development.
Enjoy flexible training schedules based on mutual availability.
Work across diverse technologies, learner groups, and training programs.
Build your professional profile as an industry expert and technical mentor.
📌 Techinical trainer (Secunderabad)
🏢 Quality Thought Infosystems (India) Private
📍 Secunderabad