Senior Domain Expert Lead- STEM (Contract), AGI - Data Services

Description **This is an experimental role to support a business pilot and can potentially span up to 12 months** Embark on a transformative journey as our Sr. Domain Expert Lead, where intellectual rigor meets technological innovation. As a Sr. Domain Expert Lead, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team. Key job responsibilities - Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support - Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization - Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops - Foster team excellence through mentorship and motivation of peers and junior team members - Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs - Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. - Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge. - Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency - Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output Basic Qualifications - Master's degree in science, technology, engineering, or mathematics (STEM) - Experience in creating or contributing to mathematical textbooks, research papers, or educational content - 1+ years of experience guiding and coaching a group of researchers - 1+ years of experience working with or evaluating AI systems Preferred Qualifications - PhD in science, technology, engineering, or mathematics (STEM) - Understanding of machine learning concepts, particularly as they apply to reasoning and problem-solving - 1+ years of experience in defining and creating benchmarks for assessing GenAI model performance - 1+ years of experience in working on multi-team, cross-disciplinary projects - Strong analytical and decision-making skills, with the ability to make complex judgments in abstract and theoretical contexts - Excellent written and verbal communication skills, with the ability to explain complex concepts clearly Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $60.34/hr in our lowest geographic market up to $102.31/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.