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REQUIREMENT_ID_1670 β€’ 3-DAY_ACTIVE_POLICY

Hindi Audio Transcriptionist (AI Training)

Company
Company Alignerr
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 10-35 USD per hour
Location
Location Remote
Posted Date
Posted Date Oct 09, 2026
native Hindi fluency excellent listening skills typing in Devanagari attention to detail handling noisy audio familiarity with transcription software knowledge of style guides basic English proficiency time management independent work
πŸ“–
Aptitude and Reasoning Practice Open Resource β†—
Helps sharpen analytical thinking and problem‑solving skills, useful for handling complex audio scenarios and maintaining accuracy.
πŸ“–
Interview Preparation Guide Open Resource β†—
Provides insights into common interview questions and strategies, aiding candidates in presenting themselves confidently to Alignerr.
πŸ“–
Learning Resources for AI and Data Science Open Resource β†—
Offers foundational knowledge in AI concepts and data handling, beneficial for understanding the broader context of your transcription work.

No specific degree requirement. Freshers from any background who are native Hindi speakers, possess excellent listening and typing skills in Devanagari, and can work independently are eligible. A background in linguistics, language studies, or phonetics is a plus but not mandatory.

1
Round 1: Screening call
2
Round 2: Technical transcription test
3
Round 3: HR interview
Alignerr is a cutting‑edge AI training platform that partners with leading research labs to build datasets that power natural language understanding systems. With a focus on spoken language, the company has carved a niche in creating high‑quality audio annotations that help AI models learn to listen, interpret, and respond to human speech. The organization operates fully remotely, giving its workforce the freedom to work from anywhere while collaborating on projects that shape the future of AI in India and beyond. The Hindi Audio Transcriptionist (AI Training) role is a freelance, hourly contract position that offers 10–40 hours of work per week. As a transcriptionist, you will be the first line of defense in ensuring that AI systems understand spoken Hindi accurately. Your primary responsibility will be to listen to real‑world audio recordingsβ€”often featuring multiple speakers, overlapping dialogue, background noise, and colloquial expressionsβ€”and produce precise, formatted transcripts in Devanagari script. The work directly contributes to the training data that enables AI to process Hindi speech with high fidelity. Key Responsibilities: 1. Listen to diverse Hindi audio recordings and transcribe them accurately. 2. Identify and label multiple speakers consistently throughout each file. 3. Apply detailed formatting, punctuation, and notation conventions as per style guidelines. 4. Handle challenging audio scenarios such as crosstalk, filled pauses, and background noise. 5. Flag unclear or ambiguous segments for review. 6. Maintain high accuracy and consistency across large volumes of content. 7. Work independently and manage your own schedule. 8. Collaborate with project managers to meet quality and deadline targets. 9. Use transcription and annotation tools efficiently. 10. Continuously improve transcription speed without compromising quality. Tech Stack: Audio annotation platforms, transcription software (e.g., Express Scribe, oTranscribe), data labeling tools, cloud storage, and basic AI training pipelines. Growth Path: Starting as a transcriptionist, you can progress to Senior Data Annotator, Lead Annotation Specialist, or even transition into roles such as Data Scientist, Speech‑Recognition Engineer, or AI Product Manager, depending on your interests and skill development. Why Join Alignerr? The company offers flexible remote work, competitive hourly rates, and the chance to contribute to AI that will impact millions of Hindi speakers. You’ll gain specialized skills in audio annotation, learn about AI data pipelines, and have the potential for long‑term contract extensions as new projects launch. The culture is collaborative, supportive, and focused on continuous learning and innovation.

Alignerr β€” Data Analytics & SQL 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 🎯
Alignerr Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Alignerr 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 (native Hindi fluency, excellent listening skills, typing in Devanagari, attention to detail, handling noisy audio, familiarity with transcription software, knowledge of style guides, basic English proficiency, time management, independent work) & 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
Alignerr Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Alignerr as a Hindi Audio Transcriptionist (AI Training)?
Preparation Tip: Highlight Alignerr's market reputation, recent tech innovations, and how your skills in native Hindi fluency 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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