About The Company Nexxt, Inc. is a pioneering technology firm dedicated to advancing artificial intelligence and machine learning capabilities. With a commitment to innovation and excellence, Nexxt, Inc. collaborates with global AI research labs and industry leaders to develop cutting-edge solutions that drive the future of intelligent systems. The company specializes in building scalable AI infrastructure, delivering high-quality data solutions, and fostering a culture of continuous learning and technological advancement. Nexxt, Inc. prides itself on its collaborative environment, diverse talent pool, and its mission to push the boundaries of what is possible with AI technology. About The Role We are seeking a highly skilled and detail-oriented Preference Data Engineer to join Nexxt, Inc.'s dynamic team. In this role, you will focus on designing, refining, and implementing evaluation criteria and rubrics for preference data, ensuring high standards of quality and accuracy. The ideal candidate will have hands-on experience with preference data collection, rubric creation, and pipeline development, along with a keen eye for subtle nuances that distinguish good data from exceptional data. Your ability to communicate complex technical concepts clearly and concisely will be essential as you collaborate with researchers and engineers to translate qualitative judgments into scalable, automated workflows. This position offers an exciting opportunity to work remotely on cutting-edge AI projects, contributing directly to the development of next-generation AI models and infrastructure.

Qualifications

The successful candidate should possess proficiency in Python, particularly in building and maintaining data pipelines and infrastructure. Experience with Typescript and familiarity with large codebases such as VSCode will be advantageous. Candidates should have practical experience in preference data collection, rubric creation, and evaluation processes. Strong written and verbal communication skills are essential to effectively distill technical work into clear, actionable insights. A demonstrated high-taste judgment—an ability to articulate why certain data or approaches are superior—is crucial. Candidates should be comfortable working in fast-paced, ambiguous environments and exhibit a proactive attitude towards shipping quality work over prolonged deliberation.

Responsibilities

Design, refine, and iterate on rubrics and evaluation criteria for preference data to ensure clarity and robustness. Review and label data with meticulous attention to detail, identifying subtle issues that could impact model performance. Build, maintain, and optimize pipelines and infrastructure supporting data generation, collection, and evaluation workflows. Synthesize findings from data analysis into comprehensive reports, updates, and strategic recommendations for internal teams. Collaborate closely with research and engineering teams to translate qualitative judgments into scalable, automated processes. Continuously improve data quality standards and evaluation methodologies to meet evolving project needs.

Benefits

Nexxt, Inc. offers a fully remote working environment, providing flexibility and work-life balance. As part of our team, you will have the opportunity to contribute to innovative AI projects alongside leading industry experts and frontier AI labs. We provide a competitive market-rate compensation package, reflective of your skills and experience. This role is ideal for individuals seeking engaging, high-impact work in a collaborative and forward-thinking setting. Additionally, you will gain exposure to the latest advancements in AI infrastructure and data quality management, fostering your professional growth in the rapidly evolving AI landscape. Equal Opportunity Nexxt, Inc. is committed to fostering an inclusive and diverse work environment. We are an equal opportunity employer and welcome applications from individuals of all backgrounds, regardless of race, gender, ethnicity, sexual orientation, age, or disability. We believe that diverse perspectives and experiences drive innovation and excellence, and we strive to create a workplace where everyone feels valued and empowered to contribute to our shared success.