Python Trainer & Developer (Night Shift) – Work From Home
Wonksknow Technologies India
About the role
Wonksknow Technologies India Private Limited is a fast‑growing subsidiary of Wonksknow LLC, USA, focused on delivering cutting‑edge educational technology solutions. With a portfolio that includes the YoungWonks, ProWonks, EdOptim and RaiseHand suites, the company aims to democratise quality coding education for learners aged 7 to 30+. Operating from its Bengaluru headquarters, Wonksknow blends a Silicon Valley mindset with Indian talent, fostering an environment where innovation, mentorship and continuous learning are core values.
The firm has earned a 4.1 rating on AmbitionBox and boasts a strong employee‑first culture, emphasizing flexibility, skill‑upgradation and a collaborative spirit.
The role of Python Trainer & Developer is a hybrid position that combines classroom‑style teaching with hands‑on software development. As a night‑shift instructor, you will deliver live coding sessions, design curriculum modules for both YoungWonks (7‑18 years) and ProWonks (18+ years), and mentor students through real‑world projects. Simultaneously, you will contribute to the development and enhancement of Wonksknow’s educational platforms, ensuring that the software remains robust, scalable and engaging.
This is a full‑time work‑from‑home opportunity, requiring a reliable high‑speed internet connection and a professional home‑office setup.
Key Responsibilities
- Conduct live online programming classes for students across age groups, focusing on Python and related technologies.
- Design, develop, and test educational software features within the YoungWonks and ProWonks product lines.
- Create and update curriculum content, coding exercises, and assessment materials.
- Participate in group and individual coding challenges to model problem‑solving techniques.
- Host and coordinate webinars, tech‑talks, and student‑led events to boost community engagement.
- Collaborate with product, design and QA teams to roll out new platform updates.
- Provide timely feedback and mentorship to learners, tracking their progress and addressing doubts.
- Represent Wonksknow at external tech events, hackathons and webinars.
- Continuously self‑learn emerging technologies and incorporate them into teaching modules.
- Ensure compliance with night‑shift schedules and maintain a professional virtual classroom environment.
Tech Stack & Tools: Python, Django/Flask, JavaScript (React/Node), Git, Docker, AWS basics, Jupyter Notebooks, Zoom/Google Meet for live sessions, LMS platforms, and standard data‑structures & algorithms.
Growth Path: Starting as a Trainer‑Developer, high performers can advance to Senior Instructor, Curriculum Lead, Product Manager – Education, or Technical Lead for the EdTech suite. The company encourages cross‑functional moves, certifications and participation in global webinars, ensuring a clear trajectory toward leadership.
Why Join Wonksknow? You will be part of a mission‑driven team that shapes the next generation of programmers, enjoy a competitive salary with work‑from‑home flexibility, receive rigorous training, and gain exposure to both teaching and product development. The role offers a unique blend of pedagogy and engineering, perfect for fresh graduates eager to build a versatile career in EdTech.
Eligibility & process
Who can apply
B.Tech / B.E. or Masters in Computer Science or related discipline (any specialization). Minimum 0‑2 years of experience. Academic record with at least 60% aggregate (or CGPA 6.0/10). No active backlogs at the time of joining. Candidates from the 2023‑2026 batches are eligible. Strong command over English (both written and verbal) is mandatory.
Skills & stack
Selection process
- Round 1: Online coding test (Python/DSA)
- Round 2: Technical interview (teaching methodology, product development, problem solving)
- Round 3: HR interview (cultural fit, availability for night shifts, communication skills)
Prep kit
19 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 4
What is the bias-variance tradeoff and how do you prevent overfitting? Answer
Explain the difference between Precision, Recall, and F1-Score. Answer
How does Gradient Descent work and what is the role of Learning Rate? Answer
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer
Behavioural & HR questions 3
Highlight Wonksknow Technologies India's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.