Website:
acceleratorx.org
Job details:
Company Description AcceleratorX is dedicated to advancing professional growth through expert-led learning programs and holistic career support. The organization helps individuals discover new opportunities, sharpen in-demand skills, and accelerate their progress toward career goals. AcceleratorX focuses on practical, industry-relevant training that prepares learners for real-world challenges and evolving technologies. Team members contribute to impactful learning experiences that support diverse professionals on their certification and career journeys.
Role Description The Freelance Technical Trainer – AI will deliver instructor-led training sessions on artificial intelligence topics to learners at AcceleratorX’s Bengaluru location. This full-time, on-site role involves planning and conducting technical workshops, designing curriculum and training materials, and adapting content to different skill levels. The trainer will provide hands-on guidance using AI tools and frameworks, facilitate discussions, and assess learner progress through assignments, labs, and evaluations. Day-to-day responsibilities include updating content to reflect current AI trends, collaborating with internal teams to align training with program goals, and offering constructive feedback and mentoring to participants.
Qualifications
- Technical training expertise: experience as a Technical Trainer with a focus on AI, including Technical Training and Training & Development responsibilities.
- Instructional and facilitation skills: strong Training skills, including designing sessions, delivering workshops, and supporting varied learner profiles.
- Communication abilities: excellent Communication skills for explaining complex AI concepts clearly and engagingly in both group and one-on-one settings.
- AI and technical background: practical experience with AI/ML concepts, tools, or platforms (e.g., Python, ML frameworks, data science workflows) and the ability to create hands-on labs.
- Educational credentials: bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field; relevant AI or ML certifications are a strong advantage.
- Training design and evaluation: familiarity with curriculum development, learning outcomes, assessments, and continuous improvement based on learner feedback.
- Professional attributes: strong organizational skills, reliability in managing full-time on-site training commitments, and an inclusive, learner-centered approach.
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