person and vehicle re-identification and search; visual attribute recognition and search in videos and images; vision-language multimodal self-labeling and self-supervised learning; human-in-the-loop hard negative mining for model incremental learning; LLM (Large Language Model) driven image data generation and data distribution augmentation; and uncertainty quantification for label noise minimization. More ❯
+ Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions More ❯
are welcome, or strong expertise in one and keen interest in working with expert colleagues on the others: automatic experimental design, Bayesian inference, human-in-the-loop learning, advanced user modelling, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, simulator-based inference, likelihood-free inference. There will be particularly good opportunities More ❯
independent tasks that can be performed by you and others. About the team Investigation technology Product team in TSE is responsible for thehuman-in-the-loop products and technology used inthe risk investigations at Amazon. The team is also responsible for reducing the cost of performing theMore ❯
involves AI4Science and for health, sequential decision making and experimental design under uncertainty, and collaborative AI. Machine learning keywords include Bayesian inference, distribution shifts, generative modelling, human-in-the-loop learning, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling, and simulation-based inference. The positions come with excellent opportunities for More ❯
teammates that learn from your best people, your content, and your business strategy-ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or More ❯
AI-Driven Automation: Build and evolve automation agents that handle routine, high-volume maintenance work (like stale feature flag cleanup, dead code removal, exception fixing) with human-in-the-loop review. Prioritize, prototype, and iterate on automation that truly saves engineers time. AI-First Developer Experience: Make AI-powered tools (IDEs, agents, automations) the default More ❯
an AI Data Annotator, you will: Transcribe and annotate audio recordings across various dialects and languages. Perform quality assurance and validation of machine-generated transcripts, utilising human-in-the-loop and RLHF processes. Work on training data for developing and current ASR, TTS, sentiment analysis, emotional tone detection, and preference modelling tasks. Collaborate with linguists, engineers More ❯
confidentiality. What You'll Be Doing? Transcribe and annotate audio recordings across various dialects and languages. Perform quality assurance and validation of machine-generated transcripts, utilising human-in-the-loop and RLHF processes. Work on training data for developing and current ASR, TTS, sentiment analysis, emotional tone detection, and preference modelling tasks. Collaborate with linguists, engineers More ❯
end operation Comfortable operating in ambiguous, fast-changing environments shaped by rapidly evolving AI technologies, data strategies, and toolchains Bonus Points: Experience building or scaling human-in-the-loop systems or teleoperations Skilled with analytics tools and dashboard platforms (e.g. Looker, Grafana, Tableau) Background in R&D or applied ML environments with high feedback More ❯
end operation Comfortable operating in ambiguous, fast-changing environments shaped by rapidly evolving AI technologies, data strategies, and toolchains Bonus Points: Experience building or scaling human-in-the-loop systems or teleoperations Skilled with analytics tools and dashboard platforms (e.g. Looker, Grafana, Tableau) Background in R&D or applied ML environments with high feedback More ❯
end operation Comfortable operating in ambiguous, fast-changing environments shaped by rapidly evolving AI technologies, data strategies, and toolchains Bonus Points: Experience building or scaling human-in-the-loop systems or teleoperations Skilled with analytics tools and dashboard platforms (e.g. Looker, Grafana, Tableau) Background in R&D or applied ML environments with high feedback More ❯
end operation Comfortable operating in ambiguous, fast-changing environments shaped by rapidly evolving AI technologies, data strategies, and toolchains Bonus Points: Experience building or scaling human-in-the-loop systems or teleoperations Skilled with analytics tools and dashboard platforms (e.g. Looker, Grafana, Tableau) Background in R&D or applied ML environments with high feedback More ❯
london (city of london), south east england, united kingdom
Humanoid
end operation Comfortable operating in ambiguous, fast-changing environments shaped by rapidly evolving AI technologies, data strategies, and toolchains Bonus Points: Experience building or scaling human-in-the-loop systems or teleoperations Skilled with analytics tools and dashboard platforms (e.g. Looker, Grafana, Tableau) Background in R&D or applied ML environments with high feedback More ❯
model training. You will lead the development process and have end-to-end ownership of distributed backend systems as well as front-end tools for human-in-theloop data collection. Key job responsibilities Drive architectural changes and designs for the team to scale the AGI-DS planning, routing and execution systems to More ❯
agents - from the no-code UI to the low-code primitives that power it under the hood. You'll work on everything from human-in-the-loop flows, to tool orchestration, to reusable components like blocks and memory. This is a deeply cross-functional role that sits at the intersection of UX … up a reusable and composable agent architecture Work closely with design, engineering, and AI teams to ship high-leverage tools for agent logic, control flow, and human-in-the-loop supervision Partner with customer-facing teams to understand user pain points and translate those into scalable product improvements Own the success metrics for agent creation More ❯
Anima saves lives every day Hey! Shun here, I'm the CEO and co-founder of Anima. We're building an active learning OS for all of healthcare and life sciences towards maximising human wellbeing globally. My entire More ❯
