Amazon Walk-In Interview Hyderabad 2025 | Customer Support Jobs for Freshers

Amazon Walk-In Interview Hyderabad 2025 | Customer Support Jobs for Freshers

Amazon Walk-In Interview in Hyderabad — Hiring Customer Support (29 Sep – 1 Oct 2025)

Amazon Hyderabad is conducting walk-in interviews for Customer Support roles. If you're curious about AI, machine-learning evaluation tasks, or want an entry point into a top tech company — this drive could be your fast track.

Key Snapshot:
  • Company: Amazon Development Centre (India) Pvt. Ltd.
  • Role: Customer Support (AI data evaluation focus)
  • Location: Kokapet, Hyderabad
  • Dates: 29 Sep – 1 Oct 2025 | 9:00 AM – 12:00 PM
  • Experience: 0 – 5 years (Freshers welcome)
  • Employment type: 12-month contract | Onsite 100% | Rotational shifts

Why this role matters — and why you should care

Not all customer support jobs are created equal. This Amazon role sits at the intersection of customer service and real-world AI evaluation. You’ll be reviewing dialogues across speech, text, audio, and images to help machine-learning models understand how humans communicate. For freshers, it’s a practical way to learn how AI products are improved; for candidates with 0–5 years’ experience, it’s a chance to pivot into data-centric roles within a scaled tech ecosystem.

Company Overview — A quick read

Amazon’s Development Centres in India power a wide range of products and services. Hyderabad’s centre supports global operations ranging from product engineering to evaluation and support — and often hires contract and full-time staff for program-specific projects. Working here gives exposure to strict SLAs, large data volumes, and a culture that values iterative improvement and customer obsession.

Job Role & Responsibilities

  • Assess and annotate dialogues in speech, text, audio, and images to measure AI model performance.
  • Perform in-depth evaluation and quality checks across diverse topics and languages.
  • Follow evolving evaluation guidelines and adapt quickly to directional shifts.
  • Work with tight turnaround times and maintain consistent accuracy under pressure.
  • Attend mandatory onsite shifts (100% onsite during contract period).

Eligibility Criteria & Required Documents

CriterionDetails
Minimum qualification10+2 (12th pass). Graduates & postgraduates eligible
Experience0–5 years (freshers welcome; BPO experience is an advantage)
LanguageExcellent English communication required
ShiftNight shifts and rotational shifts; candidates must be flexible
Documents to carryUpdated resume, original ID proof (Aadhaar/PAN/Passport), educational certificates, 1 passport photo

Walk-In Schedule & Venue

Dates: 29 September – 1 October 2025 | Time: 9:00 AM – 12:00 PM

Venue: Amazon Development Centre (India) Pvt. Ltd., Floor 6, Tower 1, Laxmi Infobahn Pvt. Ltd. SEZ, Survey No. 107(P), Kokapet Village, Gandipet Mandal, Ranga Reddy District, Hyderabad, Telangana - 500075.

Salary, Perks & Contract Details

This is a 12-month contractual position with Amazon. Compensation is competitive for entry-level contract roles and includes performance-based increments. Amazon typically provides access to on-site facilities and may offer medical support as per contract terms. Note: specifics like exact pay band and benefits will be shared during the interview/offer stage.

How to Prepare — Step-by-Step Guide

  1. Update your resume: focus on communication skills, any BPO or evaluation experience, and your ability to adapt quickly.
  2. Carry originals and photocopies of ID & education certificates; keep digital copies handy.
  3. Brush up on English comprehension — you will be evaluated for clarity and accuracy.
  4. Practice sample annotation tasks: listen to short audio clips, summarize, and check for intent and sentiment.
  5. Dress smart-casual and reach the venue early — the time window is strictly 9:00 AM–12:00 PM.
  6. Prepare answers for basic HR questions: availability for night shifts, reasons for applying, and past teamwork examples.

Resume & Interview Tips (Quick Wins)

  • Headline: Add a one-line headline like Customer Support | Data Evaluation | English Proficiency.
  • Bullet-proof achievements: Replace generic duties with results — e.g., "Improved QA accuracy by 12%".
  • Mock test: Do a 15–20 minute mock annotation exercise to get comfortable with evaluation tasks.
  • Be transparent: If you’ve done gig or contract work, list it — Amazon values contractual experience.

FAQs

Q1: Can freshers apply?

Yes — freshers are explicitly welcome. BPO experience helps but is not mandatory.

Q2: Is this role remote or onsite?

This specific drive mandates 100% onsite attendance for the 12-month contract.

Q3: What is the interview process?

Typically: document verification → written/online evaluation (annotation) → HR screening → offer.

Q4: Are the shifts flexible?

Shifts include night shifts and rotational schedules. Candidates must be open to these timings.

Q5: What should I carry for the walk-in?

Resume (multiple copies), original ID, educational certificates, passport-size photo, and references if any.

Q6: Will this role lead to full-time employment?

Contract-to-hire conversions happen depending on project needs and performance, but are not guaranteed.

Quick Summary Table

ItemDetails
CompanyAmazon Development Centre (India) Pvt. Ltd.
RoleCustomer Support (AI evaluation)
LocationHyderabad (Kokapet)
Dates29 Sep – 1 Oct 2025 | 9:00 AM – 12:00 PM
Eligibility12th pass / Graduates | 0–5 years
Employment12-month contract | Onsite 100%

Conclusion & Call-to-Action

If you’re aiming to build domain experience in customer-facing AI evaluation or want an entry-level role with strong learning potential, don’t skip this walk-in. Pack your documents, refresh your English skills, and show up prepared between 29 Sep – 1 Oct 2025 at the Kokapet venue. Good performance here can open doors to data, QA, and operations roles inside Amazon’s ecosystem.

Prepare Your Resume & Walk-In — Good luck!

Keywords: Amazon walk-in drive Hyderabad, customer support jobs 2025, walk-in interview Hyderabad, freshers hiring 2025, AI data evaluation jobs.

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