Unlocking knowledge with AI for smarter organizations
ReflectionAI, headquartered in Brooklyn, New York, provides an AI-driven knowledge management platform that leverages natural language processing to transform unstructured information from meetings, documents, and conversations into a searchable knowledge base. With a focus on enhancing productivity...
Employees at ReflectionAI enjoy competitive salaries, equity options, flexible remote work policies, and generous PTO to maintain a healthy work-life ...
ReflectionAI fosters a culture of innovation and collaboration, encouraging employees to contribute ideas and solutions while prioritizing work-life b...
Reflection • SF
Reflection is hiring a Data Quality Engineer to ensure high standards for data used in AI model training and evaluation. You'll work closely with research teams to operationalize quality standards and improve model performance. This role requires a strong engineering background and a deep curiosity about data quality.
You have a solid engineering background and a keen interest in data quality — you understand how data impacts AI model behavior and are eager to ensure that the data used for training and evaluation meets high standards. You possess strong analytical skills and can translate complex requirements into measurable quality signals. Your experience includes working with large datasets and operationalizing quality standards for various use cases. You thrive in collaborative environments, partnering closely with research teams to provide actionable feedback and improve data quality. You are detail-oriented and have a passion for ensuring that data is reliable and impactful. You are also open to learning and adapting as the field of AI evolves, staying updated on best practices in data quality management.
As a Data Quality Engineer at Reflection, you will own the upstream data quality for large language model post-training and evaluation. You will analyze expert-developed datasets and operationalize quality standards that focus on reasoning, alignment, and agentic use cases. You will partner closely with research and post-training teams to translate their requirements into measurable quality signals, ensuring that the data used is of the highest quality. Your role will involve providing actionable feedback to external data providers and continuously improving the data quality processes. You will also contribute to the development of metrics that assess the impact of data on model performance, helping to shape the future of AI innovation at Reflection. You will work in a dynamic team environment, collaborating with world-class researchers and engineers to push the boundaries of what is possible with AI.
At Reflection, we offer a supportive work environment where you can thrive and grow. You will have access to fully paid parental leave for all new parents, including adoptive and surrogate journeys. We provide financial support for family planning and generous paid time off when you need it. Our relocation support ensures that you can join our team seamlessly. We also prioritize team connection, providing lunch and dinner daily, along with regular off-sites and team celebrations. Join us in our mission to build open superintelligence and make it accessible to all.
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