Data Research Analyst

Cyabra is leading the fight against disinformation.

Our AI shields companies and the public sector by uncovering malicious actors, bot networks, and GenAI content in all social media platforms. Cyabra uncovers the Good, Bad, and Fake Online.

As an NLP Data Analyst in our Research Team, you will play a crucial role in analyzing and interpreting large datasets to extract meaningful insights using Natural Language Processing techniques. Your responsibilities will include data preprocessing, model development, and evaluating the performance of NLP algorithms. Collaborating closely with researchers and data scientists, you will contribute to advancing our understanding of language models and their applications in real-world contexts. This role offers an exciting opportunity to work on cutting-edge projects at the intersection of data science and linguistic research, driving innovation in AI-driven solutions.

What's to love about this role:

- Lead the effort in preparing large datasets for labeling processes.

- Develop and implement robust strategies for cleaning and preprocessing diverse datasets.

- Take ownership of labeling methodologies, ensuring accuracy and consistency in the

labeling process.

- Explore and implement improvements to enhance labeling efficiency.

- Collaborate with the Research Team to analyze and document the performance of different

models.

- Stay up to date on recent developments in the field of NLP and Generative AI in particular

What you bring to the table:

- Bachelor's or higher degree in Computer Science, Statistics, Linguistics, or a related field.

- Proven experience as a Data Analyst, with a focus on leading data preparation efforts and

labeling methodologies.

- Strong analytical skills and the ability to derive actionable insights from complex datasets.

- Deep understanding of textual data and its nuances.

Nice to have:

- Experience in prompt engineering with Large Language Models.

- Familiarity with AWS services and proficiency in PyTorch.

- Background in linguistics is highly desirable.