As an AI Tutor - Data Science specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. The role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. Your ability to interpret and execute tasks based on evolving instructions is crucial. This position demands a dynamic approach to learning and adapting in a fast-paced environment.
The Lead Data Partner (with their team) is the proactive force turning data into decisive action: anticipating insight needs, surfacing growth opportunities, influencing and enabling our teams to think sharper, move faster, and deliver greater impact. At Voyage Privé, data is at the heart of the digital transformation we are embarking on in 2025. With hundreds of thousands of daily active users and a few thousand new products available each week, data plays a pivotal role in shaping our future.
Extend is seeking a Staff Architect to join our Architecture team and drive our AI Native strategy forward. You'll shape our long-term technical strategy, foster innovation, and educate our organization on effective AI technologies. Your work will directly impact our platform's evolution, making it more intelligent, intuitive, and powerful.
Lead the execution of data labeling and evaluation projects that power AI development. Coordinate across teams to ensure high-quality output is delivered on time and at scale. Set up and manage evaluation workflows on the Labelbox platform. Oversee contributor operations to meet production goals. Drive quality control and assurance processes. Monitor progress, troubleshoot issues, and communicate updates to stakeholders.
In this role, leverage expertise in Adobe Analytics to extract actionable insights and drive strategic decision-making for our clients. Key responsibilities include configuring and maintaining tracking setups, generating reports, analyzing data to identify trends, collaborating with teams, crafting compelling data stories, and monitoring data quality.
Apply your subject matter expertise to a cutting-edge initiative involving state-of-the-art large language models. Your contribution will help create high-quality data by modeling how experts approach, strategize, and execute complex negotiations, thereby informing the future of AI innovation.
Shape the future of AI as a mathematics expert fluent in Spanish (Latin America). You will challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics—documenting every failure mode so we can harden model reasoning. You will converse with the model on classroom problems and theoretical mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
As an ML scientist at E11 Bio, you will develop innovative and scalable methods to realize the potential of optical barcode connectomics. This role is ideal if you value exciting and important work in an environment with high camaraderie, trust, and autonomy. You will develop machine learning models to automate the processing of large microscopy volumes and deploy developed models in large cluster or cloud environments.
You will play a vital role in advancing AI by reviewing expert-annotated physics data using proprietary software. Your in-depth understanding of physics will be key in enhancing AI model accuracy, ensuring precise and reliable content. This role demands analytical thinking, adaptability, and a passion for blending physics expertise with AI technology.
Eager to shape the future of AI? You’ll challenge advanced language models on topics like energy transformation, atomic structure, planetary motion, ecological systems, the water cycle, and scientific inquiry—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on real-world scenarios and theoretical science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.