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Indian English - AI Voice Data Collection Project

Company
Company Surelyremote
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs. 500/Hr | Max Rs. 1000 for 2 hours of recording
Location
Location Remote
Posted Date
Posted Date Today
English fluency clear pronunciation conversational ability microphone handling basic computer skills audio recording attention to detail ability to follow guidelines
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Aptitude Practice Questions Open Resource ↗
Helps you sharpen logical reasoning and quantitative skills useful for any screening test.
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Company Interview Preparation Guide Open Resource ↗
Provides insights into common interview formats and questions that can be adapted for remote project selections.
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Comprehensive Interview Prep Resources Open Resource ↗
Offers curated notes, mock tests, and tips to boost confidence before any selection round.
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Problem‑Solving Practice Set Open Resource ↗
Contains coding and algorithm challenges to keep analytical thinking sharp, useful for technical screening stages.

• Fluent English proficiency (native or near‑native). • Ability to speak naturally, clearly, and confidently without reading a script. • Access to a quiet home environment and a good‑quality microphone or headset. • Stable and reliable internet connection. • Basic computer literacy to handle audio recording and file uploads. • No specific degree required, but candidates with prior voice‑over, speech data collection, or related experience are preferred. • Must be able to commit to 2 hours of recording spread over short sessions. • Willingness to sign an NDA before final recordings.

1
Round 1: Audition – Submit a 2‑minute voice recording in a quiet environment.
2
Round 2: Screening – Review of language fluency, pronunciation, voice quality and conversational ability.
3
Round 3: Shortlisting & NDA – Selected candidates receive an NDA and invitation for the final recording sessions.
Arctic Engines, a subsidiary of the Apna Group, is an enterprise‑grade AI human data operations company that powers the training pipelines of frontier AI models. Backed by marquee investors such as Lightspeed, Tiger Global, Insight Partners and Peak XV, the firm leverages Apna’s massive 60M+ workforce to deliver high‑quality training data at unmatched scale and speed. The company’s core focus areas include high‑quality data annotation, reinforcement learning from human feedback (RLHF), and continuous human‑in‑the‑loop feedback loops that help AI systems become more reliable, safe, and conversationally adept. The role is a remote, one‑time voice‑recording assignment designed to enrich AI speech and conversational models. Candidates will engage in natural, unscripted dialogues with an AI‑powered conversational bot across a wide range of topics such as travel, finance, retail, healthcare, telecom, and education. Unlike scripted read‑aloud tasks, this project demands spontaneous, detailed, and confident speaking, mirroring real‑world human‑AI interactions. Successful participants will complete roughly two hours of recording, broken into short 10‑minute sessions, and will be compensated at Rs. 500 per hour, with a maximum payout of Rs. 1000. **Key Responsibilities** 1. Record a 2‑minute audition sample in a quiet environment to demonstrate fluency and voice quality. 2. Upon selection, complete two hours of conversational voice recording from home. 3. Interact naturally with an AI bot, allowing the bot to guide the conversation while you speak for about 70% of the time. 4. Provide detailed, spontaneous responses that are clear, well‑pronounced, and contextually relevant. 5. Follow strict guidelines on natural speaking style, pronunciation, conversational flow, and response length. 6. Re‑record any sections flagged for quality or technical issues. 7. Sign a Non‑Disclosure Agreement (NDA) before the final recording session. 8. Ensure a stable internet connection and use a good‑quality microphone or headset. 9. Maintain a quiet, controlled recording environment throughout the project. 10. Submit recordings within the stipulated timelines and adhere to all project instructions. **Tech Stack & Tools**: The project utilizes a proprietary AI conversational platform, standard audio recording software (e.g., Audacity or built‑in OS recorders), and secure cloud storage for data upload. Participants need only a reliable computer, internet, and a quality microphone. **Growth Path & Why Join**: While this is a short‑term gig, it offers a unique entry point into the rapidly expanding AI data ecosystem. Participants gain hands‑on experience with cutting‑edge conversational AI, enhance their voice‑over portfolio, and can leverage this experience for future roles in AI data collection, speech technology, or remote content creation. Working with Arctic Engines also provides exposure to a high‑growth unicorn environment, networking opportunities with AI professionals, and the flexibility to earn from home. Joining this project means contributing directly to the next generation of AI assistants, improving how machines understand and respond to human speech, and earning while working from the comfort of your own space.

Surelyremote — AI & Machine Learning Interview Guide

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

APTITUDE & LOGIC 📖
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 ↗
COMPANY GUIDE 🎯
Surelyremote Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Surelyremote and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

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

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

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

Open Resource ↗
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 (English fluency, clear pronunciation, conversational ability, microphone handling, basic computer skills, audio recording, attention to detail, 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
Surelyremote 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 ▼
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 ▼
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 ▼
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 ▼
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 Surelyremote as a Indian English - AI Voice Data Collection Project?
Preparation Tip: Highlight Surelyremote's market reputation, recent tech innovations, and how your skills in English 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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