AI & Data Student at BrandShield

Herzliya, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

13 Jun, 26

Salary

0.0

Posted On

15 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Prompt Engineering, LLM Validation, Cybersecurity Risk Management, Data Generation, Testing, Research, Hypothesis Formulation, Experimentation, Data-Driven Suggestions, Organization, Detail Orientation, Teamwork

Industry

technology;Information and Internet

Description

BrandShield is a brand-oriented digital risk protection company that specializes in monitoring, detection, and removal of digital threats such as phishing attempts, executive impersonation, counterfeit products, trademark infringements, and more. We are seeking a highly analytical and motivated "AI & Data Student" to join our AI team and contribute to our data generation, prompt engineering, and validation processes. This role is essential for identifying and mitigating customer-facing cybersecurity risks while collaborating closely with our R&D departments to drive product innovation. Responsibilities • Data Analysis: Analyze large-scale datasets to identify efficiencies, extract key insights, and spot potential technical problems. • Generation & Prompt Engineering: Design and optimize prompts within our modules to improve data extraction and the overall quality of LLM results. • Validation: Perform manual and automated testing of datasets and features during both the research and production phases. • Cybersecurity Risk Management: Utilize R&D tools to identify, measure, and tackle external cybersecurity risks that impact our customers. • Cross-Team Collaboration: Work alongside various R&D teams to support ongoing research, feature development, and rigorous testing. Requirements • Academic Path: A BA student currently in their second year (with at least 1.5 years remaining). • AI Experience: Hands-on experience working with various Large Language Models (LLMs). • Research Mindset: Proven ability to conduct research, form hypotheses, run experiments, and provide data-driven suggestions. • Analytical Nature: You are genuinely enthusiastic about numbers and data. • Personal Attributes: You are highly organized, detail-oriented, rapid learner, and a consistent team player who brings a positive attitude to the workplace. Advantages • Prior experience in Prompt Engineering. • Experience with "vibe coding" workflows and a solid understanding of LLM token economies and optimization. • Successful completion of an academic-level Statistics course.

Responsibilities

The student will analyze large datasets to find insights and technical issues, and will be responsible for designing and optimizing prompts within modules to enhance data extraction and LLM output quality. They will also perform testing and collaborate with R&D teams to address customer-facing cybersecurity risks.