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About LILT AI is changing how the world communicates — and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone , regardless of the language they speak.…
AI Research Engineer characterizing and advancing autonomous coding agents through evaluation design, training/fine-tuning experiments (RLHF, DPO), and benchmark optimization using Python at Bangalore-based Emergent Labs.
我们正在组建一支前沿科研探索“特种兵小队”，致力于打造下一代千问大模型、统一智能体与 AI 原生应用能力，推动从前沿科研到产品创新的全链路突破。研究方向覆盖但不限于：预训练到后训练算法、基础模型架构、data-centric 机器学习、agentic RL与scaling、多模态理解/推理/生成一体、个性化推荐与交互、记忆机制与上下文管理、复杂工具的构建与进化，以及智能体在 AI 办公、软件开发、金融等垂类场景的能力突破。…
Location Requirement: This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces. This is Engineering at Lattice…
Applied Researcher 4 (AI Foundations - LLM, Optimization and Finetuning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading…
1. 负责超声影像核心算法研发，包括但不限于标准切面识别、器官识别、病灶检测与分割、图像质量评估、超声视频理解等方向，持续提升模型在真实临床场景中的性能与泛化能力。 2. 参与超声多模态基础模型研发，探索超声图像、视频、文本报告、扫查轨迹等多模态数据的统一建模方法，构建面向超声场景的视觉语言模型（VLM）及医疗基础模型能力。 3.…
1. 负责平台内容风控算法能力建设，针对图文、视频、直播、AIGC内容等场景，构建高召回、高精准的违规识别与风险判定体系； 2. 设计并实现内容风控核心算法架构，包括但不限于多模态特征建模、语义理解与风险推理能力等，提升系统在复杂违规场景下的识别效果； 3. 探索并落地多模态大模型（MLLM）在内容风控领域的应用，包括Prompt…
Onsite Project Manager in Pasig, Philippines leading end-to-end delivery of large-scale AI and data annotation projects. The role manages daily operations, resource planning, QA processes, and KPIs while coaching Team Leads, QA Reviewers, and Annotators, using tools like Jira, Airtable, Smartsheet, Excel, and continuous improvement methods (Six Sigma, Kaizen).
Contractor role evaluating AI-generated product content — specifications, release notes, user-facing docs, and stakeholder communications — for clarity, accuracy, tone, and adherence to instructions, with detailed written feedback. Pure evaluation/analysis work with no roadmap or delivery duties; strong product management/ownership experience required, no prior AI experience needed.
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial…
Discernis builds AI-driven document intelligence for legal teams, running on-prem and in customer-controlled environments. This engineer leads the core AI systems: designing LLM workflows (agentic orchestration, prompt engineering, retrieval, post-training), owning evaluations/benchmarking, and optimizing self-hosted model serving, primarily in Python with vLLM.
We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your…
Founding Engineer at Raydar, an AI startup building creative video production tools. You'll own the full stack of a self-serve web product — frontend, backend, and infrastructure — integrating LLM agents and generative pipelines, while shaping product direction alongside leadership. Onsite in San Francisco five days a week.
Technical Project Manager on LILT's Applied AI team, leading multilingual data collection, human-in-the-loop workflows, and LLM evaluation projects end to end. Day to day: translating AI requirements into data specs and evaluation plans, coordinating engineers and global contributors, and analyzing throughput, quality, and unit economics with SQL.
Senior backend/full-stack engineer owning Anyone AI's Human Data platform end to end: building RL/coding/STEM evaluation environments, task pipelines and project taxonomies, plus the admin surface (payments, approvals, RBAC, revenue/cost). A high-autonomy role for someone fluent in human-data/RLHF evaluation workflows.
Director-Level AI Scientist – Foundation Models & Generative AI Principal AI Scientist United States (Remote) Director-Level AI Scientist – Foundation Models & Generative AI Remote (U.S.) | Full-Time | $300,000…
Role Title: Lawyer/Legal Writer Role Type: Contractor Location: Remote micro1 is engaging Lawyer/Legal Writers to participate in an evaluation and analysis opportunity focused on advanced AI system development for a…
Senior AI Engineer at NetBrain (no-code network automation) designing production-grade LLM agent and RAG systems: agent orchestration and governance, LLM fine-tuning, evaluation/observability frameworks, and reliable backend services. Core stack is Python, LLMs, agent frameworks, and RAG tooling.
1. Agent模型后训练： 负责大模型在Agent场景下的后训练（Post-training）工作，提升模型在复杂Agent任务中的表现。 2. 强化学习与RL探索： 设计并优化基于强化学习（RL）的Agent训练框架，提升模型的长期规划能力、试错反思能力及工具调用准确率。 3. 核心能力构建： 针对Agent的核心能力进行专项模型训练与对齐优化。 4. 行业解决方案落地：…
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