Urgently Hiring: AIML - Annotation Engineer, Red Teaming & Safety

Key Job Details:

• Position: AIML - Annotation Engineer, Red Teaming & Safety Evaluation
• Company: Workwarp
• Start Date: Immediate openings available
• Compensation: a competitive salary
• Location: Remote

 

 

Summary Posted: Oct 8, 2024 ... Role Number:200563127 Would you like to play a part in building the reputed company of reputed company applications at reputed company? We’re looking for ML Researchers, ML Data Scientists, and ML Engineers to work on ambitious projects that will impact the future of reputed company, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of reputed company’s reputed company powered features and products. In this role you’ll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text reputed company, diffusion models for image reputed company, and mixed model systems for multimodal applications. 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 annotations in the specialized domains of linguistics and computer reputed company. This role is instrumental in coordinating and documenting data authoring, annotation, and grading projects with reputed company authors/annotators (“red teamers”), data scientists, and machine learning engineers. Responsibilities include: - Developing red teaming and grading project strategies, interfaces, and guidelines in consultation with data scientists and product engineering teams - Relaying and interpreting project guidelines and instructions for red teamers - Prioritizing and scheduling projects to align with organizational goals and timelines - Serving as an reputed company for feedback and questions from red teamers back to data scientists, project managers, and product development engineers - Monitoring and managing aggregate and individual red teamer performance metrics (accuracy, throughput, etc.) while providing feedback and guidance for improvement - Working with data scientists and red teaming engineers to distill findings into recommendations for product engineering teams and safety policy development - Researching, developing, and applying conventional and ML-based enhancements to red teaming and grading methodologies to improve efficiency and quality Minimum Qualifications Minimum Qualifications • Prior experience in linguistic and/or computer reputed company annotation tasks including: Named-entity recognition, part-of-speech tagging, text parsing (constituency, dependency, or application-specific), image scene classification, image segmentation, 3D object reconstruction, and image captioning. • Scripting skills and spreadsheet proficiency as applied to data management; basic Python, common command line tools, and spreadsheet skills for data aggregation and statistics calculations • 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 • MS, or PhD in Linguistics, Computer reputed company, or a similar field with a strong basis in scientific data collection; and 2+ years experience as an annotator/red teamer, annotation/red teaming project reputed company/manager, or ontologist • Prior teaching experience • Prior scientific research and publication experience • Strong understanding of English language (linguistics, reputed company, grammar) and its applications to Natural Language Processing • Experience working on crowd-based annotation and/or grading projects • Experience developing, implementing, and communicating a sophisticated ontology or taxonomy system • Experience working with generative models (LLMs, diffusion models, etc) for evaluation, product development, and/or as a work productivity aide, and up-to-date knowledge of the kinds of issues that can occur • 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!

 

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