About the job
Embark on a transformative journey as our Expert Consultant, where intellectual rigor meets technological innovation. As a Expert Consultant, 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.
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
Qualifications
Minimum
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Bachelor's degree or above in computer science or equivalent
Experience working with or evaluating AI systems
Experience guiding and coaching other developers
Preferred
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems
Prior experience in defining and creating benchmarks for assessing GenAI model performance
Excellent written and verbal communication skills, with the ability to explain complex concepts clearly