Research Scientist, Human-AI Interaction
22 hours ago
About the Team
At OpenAI, our Human Data Team is dedicated to creating custom data solutions that drive groundbreaking research. Our work enhances and evaluates our flagship models and products, such as ChatGPT, GPT-4, and Sora, while contributing to safety initiatives through collaboration with our Preparedness and Safety Systems teams.
We work with AI trainers to gather specialized data for training and evaluating our models across various modalities, including video, audio, text, and tool actions. Our goal is to develop scalable methods, tools, and platforms to generate and evaluate high-quality data from both synthetic sources and human experts in diverse fields.
About the Role
In this role, you will work closely with research teams to design and evaluate new methods for collecting high-quality human data. You will use your knowledge of human cognition and data quality to co-design experiments, write instructions, and assess the efficacy of our data collections.
This role involves collaborating with engineering and operations teams to implement changes and iteratively improve how we run human data campaigns. You will also partner with data labelers and vendors to evolve training and feedback mechanisms.
Key Responsibilities:
- Collaborate with researchers to understand, predict, and design tasks and quality rubrics to collect great human data.
- Engage with data labelers and vendors to evolve training and feedback mechanisms.
- Create hiring assessments and brainstorm acquisition strategies for high-skill data labelers.
- Design and conduct experiments to assess the impact of interventions on human data quality.
- Come up with creative strategies for collecting and assessing high-quality data.
- Generate golden datasets and evaluation techniques.
- Work on multiple projects with tight timelines.
Requirements:
- Background in cognitive science, computational linguistics, human-computer interaction.
- Ability to tackle big questions in an ambiguous and fast-paced environment.
- Experience in the intersection of research and operational execution.
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