Fractal Off Campus Hiring for Project Intern in Gurgaon

About Fractal

Fractal is a leading provider of Artificial Intelligence solutions to Fortune 500® companies. With a vision to empower every human decision within enterprises, Fractal brings AI, engineering, and design to help the world’s most admired companies. Fractal has over 4000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Recognized as a ‘Great Workplace’ and among ‘India’s Best Workplaces for Women,’ Fractal has also been featured as a leader in various analytics and AI services by Forrester Research Inc. and Everest Group, and as an ‘Honorable Vendor’ in Gartner Inc.’s 2022 Magic Quadrant for data & analytics.

Job Description

Fractal is seeking diligent and detail-oriented Data Annotators for the Project Intern role. The primary responsibility of this role is to accurately label and annotate data, ensuring high-quality training datasets for machine learning models.

Position Details

  • Job Title: Project Intern
  • Job Type: Full Time
  • Location: Gurgaon
  • Experience: Fresher

Roles and Responsibilities

  • Review and annotate large volumes of data, including text, images, audio, and video, according to predefined guidelines.
  • Ensure the quality and accuracy of annotations by following established standards and protocols.
  • Collaborate with data scientists and engineers to understand project requirements and provide feedback on annotation guidelines.
  • Maintain documentation of annotation processes and contribute to the improvement of annotation tools and workflows.
  • Perform quality assurance checks on annotated data to identify and correct errors or inconsistencies.
  • Meet project deadlines and deliver high-quality annotated datasets within specified timeframes.

Education and Skills Required

  • High school diploma or equivalent; a degree in a related field is a plus.
  • Proven experience in data annotation, data processing, or a similar role.
  • Strong attention to detail and accuracy.
  • Excellent organizational and time-management skills.
  • Ability to work independently and as part of a team.
  • Familiarity with data annotation tools and software.
  • Basic understanding of machine learning concepts and data labeling techniques is preferred.
  • Strong communication skills and the ability to follow written and verbal instructions.

How to Apply

Interested and eligible candidates can apply through the provided link before the application expires.

Apply Link: [Click Here]