Data Annotator

We are looking for Freshers with some internship experience.

**Location: Indore (On-site Role)**

**This is not Work from Home**

**About Us**
- **VideoVerse** is a video technology company that is building a suite of powerful AI-based video tools for both enterprises and individual content creators.
- **Magnifi**, our broadcaster-facing product, is on a mission to enable seamless, smart broadcasting and content distribution in a multi-channel world. Our flagship offering uses AI/ML technology to help Sports and Entertainment broadcasters create key moment clips from Livestream videos and post them to social media and apps instantly. For our clients, this has meant 4.2x higher engagement, 60% increase in viewership time, and, given that we process millions of videos, 1B+ hours in manpower savings.
- **Styck **and **Illusto**, our consumer products, make it easy for influencers, small businesses, and just about anyone with access to a web browser to easily stream video to multiple platforms, and edit clips online with speed, and ease, and increasingly, the power of AI.
- We are revolutionizing how content is created, distributed, and consumed, helping enterprises and individuals create impact and tell immersive stories across all media genres.

We are a fast-growing, diverse, and vibrant team that works hard and are passionate about our vision. We work with some of the biggest names in broadcasting (3 of the top 5 in India and growing quickly in Europe and the USA) and on some of the biggest sporting events in the world like the Indian Premier League (T20IPL), multiple European football leagues, and much more.

**Videverse** recently raised 46.8 Million in series B funding and is hiring across all positions.

**Why work with us**
- We are passionate about our vision and our product and have a young, diverse, and vibrant team working towards this vision.
- We work with some of the biggest names in broadcasting.
- We work on some of the biggest sporting events in the world (Olympics, UEFA, ICC World Cup, etc)
- We are growing daily
- we have scanned 1650m videos, delivered 4.2x higher engagement and 60% growth in viewership time for our clients, along with 1280 mn hours of manual labor saved

**Role and Responsibilities**
- Performs annotation for image and video files to support ground truth data generation
- Understands and follows the SOP, procedures, and guidelines to execute daily tasks
- Performs repetitive annotation activities and adapts dynamic instructions without compromising on quality
- Uses internal tools and software provided by the team to track daily status completion and queries.
- May participate in data collection activities when scripts and instructions are provided.
- Adheres to compliance and confidentiality requirements.
- Meets daily productivity and quality targets.
- Suggests improvements to tools, processes, and SOPs.
- A graduate in any field of study. Quantitative fields such as science and engineering are preferred but not mandatory
- Excellent English communication and interpersonal skills.
- Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox, etc. are required
- Basic knowledge of ML data labeling process, related tools, and software used for ground-truth generation.
- Flexibility and Interest to do repetitive tasks are required
- Exceptional attention to detail.
- High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential
- Minimum of 6 months of work experience in data labeling on image/video with multiple classes of objects and attributes.

**What we offer**
- Opportunity to work with a dynamic team
- Opportunity to grow along with the brand
- Opportunity to work in the exciting space of content & broadcasting, with the biggest names in this space

Employment Type
Full-time

**Salary**: ₹200,000.00 - ₹300,000.00 per year

**Benefits**:

- Flexible schedule
- Health insurance
- Leave encashment
- Paid sick time
- Paid time off
- Provident Fund

Schedule:

- Day shift
- Morning shift

COVID-19 considerations:
yes

Application Question(s):

- This is not work from home, are you comfortable relocating to Indore, Madhya Pradesh?

**Experience**:

- Data Annotating: 1 year (required)