Basic Information

Ref Number

Req_00079502

Primary Location

Bengaluru- Indiqube

Country

India

Job Type

Digital Solutions

Description and Requirements

Telus International AI Data Solutions or TI AI for short, has been a global leader in data services since 2005. Listed on Feb 21 on the NYSE, TI now has a market cap of $10Million+. With Playment’s acquisition on July 21, we now have a combined strength in the video, images, and audio text labelling, serving the world’s top ML teams. We’ve built a truly industry agnostic platform to support the growing needs of our customers. Eg of our customer use cases - Automotive companies build self-driving capabilities, Agriculture companies for identifying weeds & fruit picking, Insurance companies for claim processing & damage detection, Retail companies for shelf tracking, Drone/Satellite imagery for terrain analysis, E-commerce for cataloguing & visual object understanding etc. Why is it important? High-quality training data is quintessential to improving the precision of ML algorithms. Forbes lists ‘Autonomous Cars’ as one of the technology trends for the next decade and also estimates ML engineers spent 70% of their time in pre/post-processing & data management steps. Companies need to build sophisticated tooling (supporting all forms of sensor data), and hire and manage hundreds of skilled people to ensure high-quality labelled data. Our autonomous driving customers estimate 1 hour of video data needs 800 man-hours of manual human work. Today, in the wake of the autonomous car industry only a few million km of data has been labelled, and 10x more will be collected before the world sees them on the road. Just as DevOps is critical to tech implementation, AI Ops will be a big challenge as AI development commercialises in the next 5-10 years. We aim to become an AI data platform, a critical part of the AI infrastructure stack. Job description: A quality Analyst (QA) is responsible for assessing the quality of labelled datasets. The QA will monitor, check and qualify all labelled outputs.

We are looking for someone who is an expert at -
  • Image Labelling – Bounding Boxes, Lines, Polygons, Landmarks etc for objects, features, and other elements
  • Video Labelling – Experience in annotating 2D and 3D frames in sequence
  • Image Labelling for Instance/Semantic Segmentation
  • LiDAR & Multi-sensor labeling with 3D sensor + 2D sensors

Responsibilities

  • Perform Quality checks on the labelled dataset
  • Work on annotation tools for user qualification and quality evaluation
  • Identify users with high error rates and provide analysis to Team leads for action
  • Work as Subject Matter Experts to work on in-house projects

Requirements
  • 0-3 years of proven experience in Data annotations. Prior Quality Check experience is a plus
  • You should be a fluent speaker of English
  • You should be diligent and hardworking
  • Bachelor’s degree in Engineering
  • The successful employee at TI AI is motivated, dedicated, and constantly working to deliver a great experience for our customers.

Benefits

  • Competitive Pay
  • Health Insurance for family
  • Free breakfast & Lunch
  • Online learning & courses for career development

Additional Job Description

  • The QA will monitor, check and qualify all labelled outputs.
  • Perform Quality checks on the labelled dataset
  • Work as Subject Matter Experts to work on in-house projects

Required Language(s)
English