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Design & develop prompting techniques for emotional and intellectual use cases Establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care Create evaluations to measure both technical/practical performance and non-deterministic performance like EQ Teach others prompting techniques and ways-of-working to elevate the prompting skill throughout the team Research & implement novel prompting techniques Embody our culture and values. 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Evangelize learnings to drive impact: You will share Data Science and Product Analytics Insights in Weekly Product Reviews and facilitate collaborative, thought-provoking sessions with cross-functional teams. Build Taxonomies: You will create structured classifications and categorizations for language data. Build Curricula and Instructions for Taskers to Label Data: You will design comprehensive training materials and guidelines for taskers responsible for labeling data. Prompt Engineering: You will craft and refine the prompts used to train and evaluate our AI models. Orient the overall Copilot product strategy: You will use metrics and insights to influence the broader Copilot product roadmap. Bachelor's Degree AND 2+ years experience in linguistics, computer science, writing, editing, education, or library science. OR equivalent experience or research. Bachelor's Degree AND 5+ years experience in product/service/project/program management. 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Experience applying, evaluating, and/or training large language models (LLMs). 3+ years experience developing and deploying live production systems, as part of a product team. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. 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Perform quality assurance checks on vendor-provided coding, STEM, RLHF, and other data collection types. Collaborate with internal teams and vendors to define quality metrics and resolve discrepancies. Develop and maintain data annotation instructions, guidelines and templates. Provide detailed feedback and coaching to vendors to uphold high-quality standards. Identify systemic quality issues and drive root-cause analysis and resolution plans. Support program management of annotation workflows, timelines, and priorities. Monitor progress and help track key performance indicators (KPIs) related to QA. Participate in designing and improving annotation tooling and platform for QA features. Help ensure the safe, compliant, responsible, and agile use of data to support our research priorities. Embody our Culture and Values. Bachelor's Degree in Computer Science, Mathematics, Engineering, or a related technical field AND at least 6 years' experience in STEM and Code data creation efforts that involve complex QA and program management OR Master's Degree in Computer Science, Mathematics, Engineering, or a related technical field AND at least 4 years' experience in STEM and Code data creation efforts that involve complex QA and program management, or equivalent experience OR equivalent experience 4+ years of experience in leading multi-disciplinary projects, defining requirements, developing project plans and working with technical teams to execute them Excellent attention to detail and critical thinking skills Solid understanding of programming concepts, data structures, and algorithms. Experience in managing and goal tracking data collection or other equivalent programs Experience in coding, or technical program management. 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Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ year(s) experience in business analytics, data science, software development, or data engineering work Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years of business analytics, data science, software development, data modeling or data engineering work experience OR equivalent experience. 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Design and run human evaluations, write evaluation guidelines, and ensure evaluation quality. Design and write LLM-as-judge prompts, build and run machine evaluations. Collaborate with engineers, and product teams to drive eval implementations and share best practices across the board. Partner with data and insights teams to develop scalable pipelines and dashboards to track pre-launch eval performance across all dimensions. Own product requirements and roadmaps for internal tools used to run and analyze evaluations at scale. Translate evaluation insights into actionable product improvements and inform product quality improvement decisions. Monitor trends in product performance, user feedback, and competitive benchmarks to continuously refine evaluation approaches. Own key projects, proactively identifying risks and proposing solutions to ensure timely delivery. Coordinate Cross-Team Collaboration: Work closely with engineering, data science, and product stakeholders to align on goals, track deliverables, and communicate status updates effectively. Embody our Culture and Values. Bachelor's Degree AND 5+ years experience in product/technical program management or software development OR equivalent experience. 3+ years of experience leading multi-disciplinary projects, defining requirements, developing project plans and working with multi-disciplinary teams to execute them. Experience in building and evaluating ML-powered or LLM-powered products. Computer science background, experience in training/ evaluation of LLMs Technical depth in software development, data science and machine learning. While you are not expected to write code on the critical path, you're able to define and execute on zero-to-one prototypes, reason over large amounts of data, and speak the language of the engineers and researchers you work with. 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