---
title: 'Data Entry Intern at Weekday'
canonical: 'https://feeny.ai/job/data-entry-intern-weekday-bengaluru-caj6r9gebk2g'
type: 'job'
last_seen: '2026-09-07'
---

# Data Entry Intern at Weekday

- **Company:** Weekday
- **Location:** Bengaluru, India
- **Employment:** internship
- **Work type:** remote
- **Posted:** 2026-07-07
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/weekdayworks/1fc8b30b-8e31-41f0-a449-5c7f25577a3a

## Job description

This is an internal role at Weekday. Not a role by a client.

- Role type: Internship
- Location: Remote
- Duration: 3 months
- Working days: Monday–Saturday
- Stipend: ₹4,000–5,000/month
- PPO if performance is satisfactory

Weekday is an AI-native recruiting platform. We are backed by Y Combinator and Venture Highway (now General Catalyst). We have built the largest white collar talent database in India and have built tools to run outbound recruiting campaigns to them.

Read this before you apply

This is not a glamorous role. It's careful, high-volume, detail-obsessed work — and the models we're building are only as good as the data you produce. You'll spend your day looking at documents and drawing bounding boxes around the right things: marking exactly where a field, a block of text, a table, or a signature sits on the page, over and over, correctly. It's precise, repetitive work, and it's the foundation the whole annotation project stands on. One sloppy box teaches the model the wrong thing.

If you get satisfaction from doing something exactly right, at pace, without cutting corners — you'll do well here. If you need constant variety and get bored by repetition, this isn't for you.

## What you'll actually do

On any given day you might be:

- Looking at documents and drawing accurate bounding boxes around the regions that matter — fields, text blocks, tables, stamps, signatures, whatever the project calls for
- Labelling and classifying each box correctly according to the annotation guidelines
- Keeping your boxes tight and consistent — same standard on document one and document one thousand
- Flagging edge cases, ambiguous documents, and gaps or contradictions in the guidelines instead of guessing
- Reviewing and correcting your own (and sometimes others') annotations to keep quality high
- Helping refine the labelling process so annotation gets faster and more consistent over time

You'll be measured on accuracy, consistency, and throughput — how much high-quality annotated data you produce, not hours logged.

## What we're looking for

- You're precise and patient — you can draw the same clean box the hundredth time as well as the first
- You sweat the details; a box that's slightly off or a wrong label bothers you
- You take ownership. When a batch is yours, it's done right — no follow-ups needed
- You follow guidelines closely but speak up the moment something doesn't fit them
- You're comfortable with repetitive, screen-heavy work and a Monday–Saturday pace
- You care about the quality of your work even when nobody's checking every box

## What you get

- A front-row look at how a venture-backed startup is built and run profitably
- A real understanding of what goes into the data behind AI models — the part most people never see
- Real ownership of the ground truth the project depends on
- A PPO if you perform
- Hands-on experience with the tools and habits that make you genuinely useful anywhere

## About Weekday

## Company Overview
- **One-liner**: Weekday is an AI-powered recruiting platform that automates outbound sourcing campaigns to help companies hire top technical talent.
- **Entity Type**: Private (Seed stage; $2.2M total funding)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2021
- **Founders**: Amit Singh (CEO & Co-founder), Chetan Dalal (CPO & Co-founder), Anubhav Malik (CTO & Co-founder), Sanjay Sivaraman (COO) [weekday.works](https://www.weekday.works/our-story)

## Core Business
- **Primary Industry**: Human Resources Services / AI-powered recruiting
- **Target Customers**: B2B; seed-stage startups to enterprises hiring for engineering and technical roles
- **Mission / Purpose**: "Make hiring more human" by using AI to handle repetitive tasks, giving recruiters more time for meaningful interactions [weekday.works](https://www.weekday.works/our-story)

## Products & Services
- **AI Recruiter (Outbound Sourcing Campaigns)**: Fully managed service that discovers, reaches out to, and pre-vets passive candidates via email, WhatsApp, and phone. Achieves 30–50% response rates (3–5x industry baseline). [weekday.works](https://www.weekday.works/faq)
- **AI People Search & Database Access**: Subscription model providing direct access to a verified database of 300M+ professionals across the US and India (covers ~80% of Indian white-collar workforce). Includes AI smart filters, AI-drafted outreach, and multi-channel automation. [weekday.works](https://www.weekday.works/faq)
- **Free Candidate Tools**: AI auto-apply, resume builder, ATS resume scorer, company salary data, and culture reviews. [weekday.works](https://www.weekday.works/faq)
- **Chrome Extension & 20+ API Integrations**: Fits into existing workflows and data pipelines. [weekday.works](https://www.weekday.works/faq)

## Market Standing
- **Valuation / Market Cap**: Not publicly available (private company)
- **Key Metric**: Total funding of $2.2M (seed rounds); 5M currently active users in their marketplace [weekday.works](https://www.weekday.works/our-story)
- **Notable Investors / Partners**: Y Combinator (W21), Venture Highway (led latest seed round) [linkedin.com](https://www.linkedin.com/company/weekdayworks)
- **Growth Signals**:
  - Headcount: 108 employees (+58.1% YoY) [linkedin.com](https://www.linkedin.com/company/weekdayworks)
  - LinkedIn followers: 576,069 (+84.5% YoY) [linkedin.com](https://www.linkedin.com/company/weekdayworks)
  - Active job postings: 87 (monthly growth +61.1%) [linkedin.com](https://www.linkedin.com/company/weekdayworks)
  - Ranked #1 on Product Hunt [weekday.works](https://www.weekday.works/our-story)

## Competitive Advantages
- **Massive Verified Database**: 300M+ professionals with verified work history and contact data, covering ~80% of the Indian white-collar workforce – a unique asset for passive candidate sourcing. [weekday.works](https://www.weekday.works/faq)
- **Multi-Channel Outreach**: Combines email, WhatsApp, and phone – channels that outperform inbound-only hiring, especially for passive talent (70% of workforce). [weekday.works](https://www.weekday.works/faq)
- **High Response Rates**: Consistently 30–50% (vs. industry baseline <15%), driven by mutual-fit matching and persistent follow-up. [weekday.works](https://www.weekday.works/faq)
- **Pre-Vetted Candidates**: Delivers candidates who have been matched, screened, and confirmed interested before reaching the hiring team. [weekday.works](https://www.weekday.works/faq)

## Strategic Focus
- **Expand Technical Hiring Dominance**: Purpose-built for engineering roles, serving companies like CRED, Enterpret, and Utopia Labs. [weekday.works](https://www.weekday.works/faq)
- **Dual Engagement Models**: Contingency (white-glove, 15% of salary) and Subscription (database + outreach credits) to serve both small teams and in-house recruiting departments. [weekday.works](https://www.weekday.works/faq)
- **Continued AI Investment**: AI-driven candidate discovery, messaging optimization, and resume screening remain core differentiators.

## Why Work Here
- **Fast-Growing YC Startup**: Y Combinator (W21) backing, strong headcount and follower growth, and high demand for technical hiring solutions.
- **Global & Remote-Friendly**: Workforce distributed across 6 countries (India, US, UK, Qatar, Thailand, Spain); offices in San Francisco and Bengaluru. [linkedin.com](https://www.linkedin.com/company/weekdayworks)
- **Engineering & Product Culture**: Founders include CTO Anubhav Malik; technical roles are central to the product (Backend, Data Engineering, QA). [linkedin.com](https://www.linkedin.com/company/weekdayworks)
- **Active Hiring**: 87 open positions across sales, engineering, operations, and more – strong signal of growth and opportunity. [linkedin.com](https://www.linkedin.com/company/weekdayworks)
- **Impactful Mission**: Using AI to eliminate recruiter drudgery and increase human connection in hiring.

## Sources
1. [jobs.lever.co](https://jobs.lever.co/weekdayworks)
2. [weekday.works](https://www.weekday.works/our-story)
3. [linkedin.com](https://www.linkedin.com/company/weekdayworks)
4. [weekday.works](https://www.weekday.works/faq)
5. [ycombinator.com](https://www.ycombinator.com/)

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