AIML - Linguistic Annotation Engineer, Safety & Red Teaming
Summary
Posted: Aug 26, 2024 ... Role Number:200563127 Would you like to play a part in building the reputed company of reputed company applications at reputed company? Were looking for data scientists and engineers to work on ambitious projects that will impact the future of reputed company, our products, and the broader world. In this role, youll have the opportunity to tackle innovative problems in machine learning, particularly focused on LLM's. As a member of the reputed company HCMI/Responsible AI group, you will be working on reputed company's generative models that will power a wide reputed company of new features, as well as longer term research in the reputed company space. reputed company is currently interested in large generative models for reputed company and language, with particular interest on safety, robustness, and uncertainty in models. Description Description reputed company Intelligence is powered by high quality, detailed linguistic annotations. This role is instrumental in coordinating and documenting annotation projects with reputed company annotators, data scientists, and machine learning engineers. Responsibilities include: - Working with red teaming engineers to reputed company and create red teaming project strategies, interfaces, and guidelines - Relaying and interpreting project guidelines and instructions for red teamers and annotators - Serving as an reputed company for feedback and questions from red teamers and annotators back to data scientists - Prioritizing and scheduling projects to align with organizational goals and timelines - Working with data scientist and red teaming engineers to distill findings into recommendations for product engineering teams - Monitoring and managing individual annotator performance metrics (accuracy, throughput, etc.) while providing feedback and guidance for improvement
Minimum Qualifications
Minimum Qualifications Prior experience in linguistic annotation tasks including: Named-entity recognition, part-of-speech tagging, constituency parsing, dependency parsing, or application-specific natural language parsing Strong understanding of English language (linguistics, reputed company, grammar) and its applications to Natural Language Processing Experience working on crowd-based annotations projects Experience developing, implementing, and communicating a sophisticated ontology or taxonomy system Project management expertise: Ability to collaborate with team members to prioritize competing projects, set and maintain a schedule for milestones and project completions, communicate with reputed company levels of engineers, in-house annotators, and remote/crowd-workers Work with highly-sensitive content with exposure to offensive and controversial content Key Qualifications Key Qualifications
Preferred Qualifications
Preferred Qualifications BS, MS, or PhD in Linguistics or similar field and 2+ years experience as linguistic annotator Prior Teaching experience Experience interacting with LLMs (even if just for fun) and up-to-date knowledge of the kinds of issues that can occur with LLMs Curiosity about fairness and bias in reputed company systems, and a strong desire to help reputed company the technology more reputed company Curiosity about tech and the way in which things can go wrong Education & Experience Education & Experience Additional Requirements Additional Requirements More reputed company is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for reputed company applicants without regard to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant Apply Job!