2 months ago
Responsibilities
- Use AI detection and hallucination detection models to identify compelling examples of AI-generated content and hallucinations.
- Synthesize data into well-written prose, compelling visualizations, and interactive user experiences.
- Build search-engine query generators and targeted web crawlers for document collection.
- Develop automations to monitor social feeds and generate leads.
- Create machine-learning ranking and classification systems using LLMs to detect fabricated documents.
- Build robust data-processing pipelines that operate at scale.
- Improve models based on their performance across new domains and investigations.
- Help produce and publish investigative reports about AI-generated content.
Requirements
- At least 2 years of Python experience developing resilient data pipelines and long-running jobs.
- At least 1 year of SQL experience for data management, ideally with PostgreSQL.
- Experience analyzing data and creating visualizations and plots that communicate findings to stakeholders.
- Experience with web scraping and search at scale, including search, LLM, OCR, and data-crawling tools.
- Experience with basic cloud infrastructure such as AWS.
- Ability to tell creative and compelling stories using data.
- Entrepreneurial ability to develop data-acquisition approaches, engage stakeholders, and identify newsworthy content.
- Preferred experience includes building webpages to display results, applied machine learning for ranking and calibration, infrastructure-as-code, container tooling, OSINT, evidence verification, finding hard-to-access data, and working with media and journalists.
Tech Stack
Categories
Data EngineeringML Engineering
About GPTZero
GPTZero builds AI-generated text detection and content provenance tools for educators, schools, publishers, and enterprises. The company offers web apps and an API to classify likely AI-written content and support authorship verification workflows, sold via subscriptions to individuals and institutions. Headquartered in New York City, it raised a $13.5M Series A in 2024 and serves millions of users across education and media.