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REQUIREMENT_ID_222 β€’ 3-DAY_ACTIVE_POLICY

Audio Transcription Specialist (Telugu language)

Company
Company Terry Soot Management Group (TSMG)
Type
Opportunity Type Internship
Salary
Stipend / Salary Not Disclosed
Location
Location Remote
Posted Date
Posted Date Today
Listening Typing English proficiency (B2) Telugu proficiency (B2) Attention to detail Basic computer skills Reliable internet connection Ability to follow guidelines
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Aptitude Practice Questions Open Resource β†—
Helps you sharpen quantitative and logical reasoning skills useful for the initial screening test.
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Company Interview Preparation Guide Open Resource β†—
Provides insights into typical interview formats and common questions asked by tech‑data firms.
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Comprehensive Interview Prep Resources Open Resource β†—
Covers a wide range of interview topics, from behavioral to technical, aiding overall readiness.

Any graduate from any branch; must have a reliable internet connection and a computer; proficiency in English (B2) and Telugu (B2) as per CEFR standards.

1
Round 1: Online aptitude and language proficiency test
2
Round 2: Transcription sample test
3
Round 3: HR interview (discussion of availability, work‑from‑home setup, and cultural fit)
**Role Summary** As an Audio Transcription Specialist for the Telugu language, you will be a key part of a project aimed at building next‑generation speech‑recognition and conversational AI systems. You will listen to recorded Telugu conversations, transcribe them accurately, and ensure that the final text adheres to the project’s formatting and quality guidelines. The role is fully remote, offering flexible hours that can be adjusted to suit your personal schedule, making it ideal for students, recent graduates, or anyone looking for part‑time or full‑time work from home. **Key Responsibilities** 1. Listen to raw audio clips in Telugu and convert spoken words into written text. 2. Follow detailed transcription guidelines covering punctuation, speaker identification, and noise handling. 3. Perform quality checks on your own work and correct any errors before submission. 4. Meet daily/weekly transcription quotas while maintaining high accuracy rates. 5. Maintain confidentiality of all audio files and transcribed content. 6. Report any technical issues or ambiguous audio segments to the project lead. 7. Participate in periodic training sessions to stay updated on evolving guidelines. 8. Provide feedback on workflow tools to help improve the transcription platform. 9. Collaborate with a remote team of reviewers and quality analysts. 10. Keep a reliable internet connection and a functional computer for uninterrupted work. **Tech Stack & Tools** The role primarily uses web‑based transcription interfaces, audio playback software, and basic office productivity tools (e.g., Google Docs, Microsoft Word). Familiarity with AI‑assisted transcription aids (e.g., speech‑to‑text APIs) is a plus but not mandatory. **Growth Path** Successful transcribers can progress to senior annotation specialist, quality‑assurance lead, or even project‑management positions within TSMG’s data‑collection division. The company also offers opportunities to move into AI‑training data design, where you can influence annotation strategies for emerging languages. **Why Join TSMG?** - Flexible remote work that fits your lifestyle. - Direct contribution to cutting‑edge AI products used by global tech giants. - Clear career progression with regular skill‑upgradation workshops. - Competitive performance‑based incentives and the chance to work on diverse multilingual projects. - Supportive project team that provides prompt assistance and feedback. Overall, this role offers a blend of linguistic skill development, exposure to AI data pipelines, and the freedom to work from anywhere in India.

Terry Soot Management Group (TSMG) β€” AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Terry Soot Management Group (TSMG) Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Terry Soot Management Group (TSMG) and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Listening, Typing, English proficiency (B2), Telugu proficiency (B2), Attention to detail, Basic computer skills, Reliable internet connection, Ability to follow guidelines) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Terry Soot Management Group (TSMG) Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer β–Ό
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer β–Ό
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer β–Ό
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Terry Soot Management Group (TSMG) as a Audio Transcription Specialist (Telugu language)?
Preparation Tip: Highlight Terry Soot Management Group (TSMG)'s market reputation, recent tech innovations, and how your skills in Listening directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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