Data Operations Student

Prisma Photonics, a fast-growing startup, transforms infrastructure monitoring with optical fibers. We eliminate the need for extra sensors by offering sensor-free solutions to monitor electrical power grids and oil & gas pipelines across thousands of kilometers.

Our fiber-sensing technology, integrated with AI and machine learning, enables our customers to achieve environmental and renewable energy targets, ensuring smooth utility operations on their path to net-zero emissions.

We are rapidly growing, looking for the best minds and spirits to join us in our journey. We know our products are only as great as the individuals building the hardware and software and harnessing data for good causes! Being a great team member means being eager to learn and grow, able to challenge others while accepting being challenged yourself, and working for the team and product with enthusiasm and passion.

We are seeking a detail-oriented Data Operations Student to join our team. In this role, you will be responsible for annotating our distinct fiber sensing data and managing datasets to support various products and projects. You will play a crucial part in ensuring the quality and integrity of our data, contributing to multiple initiatives.

This is a unique opportunity to gain hands-on experience in data operations within a dynamic environment. You will join a talented team dedicated to leveraging data for impactful projects. If you are passionate about data and eager to contribute to exciting challenges, this might be the perfect opportunity for you.

Responsibilities:

• Data Annotation - Accurately annotate datasets using internal tools, adhering to annotation guidelines and maintaining high standards for consistency and quality.
• Quality Assurance - Review and validate annotated data to ensure accuracy and consistency, identify discrepancies, and suggest solutions to improve processes.
• Data Management - Support the ongoing maintenance of annotated datasets, ensuring data integrity and accessibility, and implementing best-practices to create seamless data flows.

Requiremens:

• Currently pursuing a Bachelor of Science degree or equivalent.
• Strong attention to detail and a commitment to maintaining high-quality annotation standards.
• Good written and verbal skills, with the ability to work effectively with a diverse group of individuals.
• Availability to work 2-3 days a week.

Advantages:

• Familiarity with data annotation processes.
• Experience working with seismic data, heat maps, or spectrograms.
• Familiarity with SQL and data visualization tools.
• Experience with coding languages, preferably MATLAB or Python.