Data Structure Onsite Trainer
3 months ago
**Qualifications and Requirements**:
- **Educational Background**:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, or a related field.
- **Experience**:
- Proven experience in teaching or training DSA, preferably in an academic setting such as colleges or universities.
- Demonstrated ability to explain complex concepts in an understandable and engaging manner.
- **Technical Skills**:
- Strong command of data structures (arrays, linked lists, trees, graphs, hash tables, etc.) and algorithms (sorting, searching, dynamic programming, etc.).
- Proficiency in one or more programming languages commonly used in DSA, such as Java, C++, Python, or similar.
- **Certifications (Preferred but Not Mandatory)**:
- Certifications in computer science education, DSA, or related areas can be advantageous.
- **Soft Skills**:
- Excellent verbal and written communication skills.
- Strong interpersonal skills with the ability to engage and motivate students.
- Patience, adaptability, and a passion for teaching and mentoring.
- **Additional Requirements**:
- Availability to conduct onsite training sessions as per the college’s schedule.
- Ability to work independently and manage time effectively in a freelance capacity.
- Professionalism, reliability, and a commitment to maintaining a positive learning environment.
**Expected Outcomes**:
- Enhanced understanding of data structures and algorithms among students.
- Improved problem-solving and coding skills applicable to academic projects and industry practices.
- Increased student engagement and interest in computer science disciplines.
- Positive feedback from students and faculty, reflecting the effectiveness of the training program.
**Job Types**: Part-time, Freelance
Contract length: 2 months
Expected hours: 20 per week
**Benefits**:
- Commuter assistance
- Food provided
Schedule:
- Monday to Friday
- Weekend only
**Education**:
- Master's (required)
**Experience**:
- Teaching: 5 years (required)
- total work: 5 years (required)
**Language**:
- English (preferred)
Willingness to travel:
- 25% (preferred)
Work Location: In person
Application Deadline: 07/09/2024
Expected Start Date: 12/09/2024
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