Data Operations Specialist (Maternity Leave Replacement)

Prisma-Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage.

Combining pioneering technology in optical fiber sensing with state-of-the-art machine learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly.

We are seeking a detail-oriented and highly technical Data Operations Specialist to join our Data Operations team for a 6- months maternity leave cover. In this role, you will be responsible for annotating various events on 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 critical initiatives. You will help improve our annotation procedures, techniques, and tooling; and work closely with ML and Algo teams as well as Data Engineering.

This is a unique opportunity to gain hands-on experience in data operations within a dynamic environment using cutting edge and novel technology. 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.

What You’ll Do:

• Data Annotation - Accurately annotate datasets using internal tools, adhering to annotation guidelines and maintaining high standards for consistency and quality.
• Tool Maintenance - Help maintain team tools, such as annotation tools and automated processes, using Python and Gen AI.
• Quality Assurance - Review and validate annotated data to ensure accuracy and consistency, identify discrepancies, and suggest solutions to improve processes.
• Continuous Improvement - Participate in the continuous improvement of our tools and data operations processes to achieve more accurate models, and more streamlined data flow between the different teams in the company.
• Data Management - Support the ongoing maintenance of annotated datasets, ensuring data integrity and accessibility, and implementing best-practices to create seamless data flows.

What You Bring:

• A Bachelor of Science degree or equivalent (STEM fields an advantage).
• 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.
• Familiarity with Gen AI tools and their abilities.

Great to have:

• Familiarity with data annotation processes, especially non-structured data (images, video, audio).
• Experience working with seismic data, heat maps, or spectrograms.
• Familiarity with SQL and data visualization tools.
• Experience with coding languages, preferably Python.