Data Annotator

Description:

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, grid monitoring, etc.). The company offers an award-winning disruptive solution – a “sensor free” approach to smart infrastructure. The company is VC backed and is 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 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.

Key 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.
Continuous improvement – Participate in the continuous improvement of our tools and data operation 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
Requirements:
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.
Availability to work full time when needed.

Nice-to-haves:

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 MATLAB and Python.