Trainee - GIS Conflation Support - Hyderabad, India - TRC Companies, Inc.

Description

Groundbreaker. Game changer. Pioneer.

TRC has long set the bar for clients who require more than just engineering, combining science with the latest technology to devise innovative solutions that stand the test of time. From pipelines to power plants, roadways to reservoirs, schoolyards to security solutions, clients look to TRC for breakthrough thinking backed by the innovative follow-through of an industry leader.

TRC's professionals work with a broad range of commercial, industrial and government clients and the communities they serve. We deliver breakthrough solutions that address local needs -- so our clients can better succeed in an ever-changing world.

Working at TRC means tackling interesting, meaningful projects. We pride ourselves on our collaborative spirit, entrepreneurial zeal and agile corporate structure. We recognize that the expertise of our staff is our strongest asset, so we generously reward employees for successful performance and invest in their careers through training and the development of new skills and certifications.

We are seeking a Trainee - GIS Conflation Support to join our team. The ideal candidate should have a Diploma or Graduate degree with a basic understanding of the GIS domain and strong English communication skills. This individual should be enthusiastic about learning new tools and supporting the training of AI/ML models. As a Trainee - GIS Conflation Support, you will primarily be responsible for training AI/ML models by identifying label locations, such as pole shadows, in imagery.

Train AI/ML models by accurately identifying label locations, such as pole shadows, in imagery data.

Annotate imagery data with relevant labels to facilitate AI/ML model training and validation.

Ensure the accuracy and quality of labeled data by reviewing and validating annotations.

Learn and become proficient in using GIS tools and AI/ML platforms for data annotation and model training.

Maintain detailed documentation of labeling procedures, guidelines, and best practices.

Collaborate with team members and stakeholders to understand project requirements and objectives.

Stay updated on the latest advancements in GIS technology, AI/ML methodologies, and electrical distribution networks.

Provide feedback to improve labeling processes, tools, and workflows for increased efficiency and accuracy.

Diploma or Graduate degree in a relevant field with upto a year of GIS experience.

Basic understanding of the GIS domain and concepts is a plus.

Strong English communication skills, both verbal and written.

Willingness to learn new tools and technologies related to GIS, AI/ML, and data annotation.

Some knowledge of electrical distribution networks and asset types is preferred.

Attention to detail and accuracy in data annotation and labeling tasks.

Ability to work collaboratively in a team environment.

Strong problem-solving skills and ability to adapt to changing project requirements.

Experience with GIS software or tools is a plus but not required