AI Research Jobs

Enterprise RAG + Vector Search Implementation for AI-Powered Facility Management System" - "Production RAG System: Materialized Views + Vector Embeddings + LLM Integration" - "AI-Powered Knowledge Base: RAG Integration for Facility Management Platform" [Project Description (copy-paste ready):] I need an experienced AI/ML engineer to implement a production-grade Retrieval-Augmented Generation (RAG) system for our facility management platform. Scope: - Database optimization (materialized views, dimensioning) - Vector embeddings implementation (pgvector, Supabase) - Semantic search integration - Full-text search capabilities - RAG pipeline for TrackPlan + Armadillo data sources - LLM integration with Gemma 3 12B Deliverables: - Optimized database layer with materi...

Project Title: Deep Learning Project for Chest X-ray Diagnosis (Edge & Multi-Modal ) Description: I need help implementing a research project on chest X-ray disease detection using deep learning. The project should include: Dataset preprocessing (MIMIC-CXR / CheXpert) CNN baseline model (ResNet) Lightweight model (MobileNetV3 or similar) Multi-modal input (X-ray images + patient metadata) Basic edge optimization (model size, inference speed) Continual / adaptive learning simulation Evaluation metrics (Accuracy, AUC, F1-score, Precision, Recall) Result tables and graphs for research

Hi, I am a PhD student currently completing my dissertation research, and I would be genuinely grateful for your participation. Key Details: The whole session takes about ~25 minutes. You'll receive a fixed payment of $10 on completion, with a chance to get an additional performance-based bonus from the task. ALL participants who finish the survey and pass the quality checks will be awarded the contest — payment is issued as a contest award directly through Freelancer. I can only pay $10 per survey. As an extra thank-you, you can opt into a lottery for AI-related gift cards or cash. Survey link: After completing the survey, you will see a survey code. Please paste that code here, and that will count as your entry. We are looking to hire a large number of participants, so ...

I need a well-structured research paper that examines how artificial intelligence shapes user trust on social-media platforms. Your analysis should stay tightly focused on the trust dimension—how algorithmic curation, recommendation engines, content moderation and sentiment analysis influence users’ confidence in what they see and share. I expect you to ground every argument in recent, peer-reviewed journal literature and reference those sources in APA style. Please avoid blogs, news pieces or vendor white papers unless they merely provide context; the core evidence must come from scholarly work published within the last five years. Deliverables I will review: • An outline showing key sections, main arguments and the peer-reviewed sources you plan to use • A 4,000...

In need for a skilled AI developer to create a an AI Agent for research, its core goal is to be an assistant system for me. This system will process and generate responses solely from documents that I upload. The use of DeepSeek or Chat GPT 12x7B or a comparable high-accuracy model is required. Key features should include: you have the freedom to use any of the following or suggest an alternative to establish my requirements : Option 1: Custom Chat UI + Retrieval Option 2: Pre-built RAG System + DeepSeek 12x7B Option 3: Quivr AI + DeepSeek 12x7B - Long-context processing - Retrieval-augmented generation (RAG) - Workspace-based document organization - Chain-of-thought reasoning - Citation generation The ideal system would be cost effective, scalable, and easy to maintain. I am open ...

I’m finalising an academic paper and need a short-list of fresh, publishable ideas in Artificial Intelligence, Machine Learning or Deep Learning. The goal is to walk away with several concrete topics—each practical enough for a semester-length implementation in Python yet still offering a genuine research gap I can highlight as my own contribution. Here’s what I expect to receive: • 3–5 clearly worded research topics, phrased as potential paper titles. • For every topic, a crisp explanation of what makes it novel in light of recent literature. Cite the gap or twist that turns it from a replication study into new work. • A brief outline of the methodology: suggested datasets, baseline models (e.g., CNNs, Transformers, LSTMs, or classic scikit-lea...

I’m building a next-generation platform centred on Agentic Models—everything from single autonomous agents to full swarms and complex orchestrations that coordinate dozens of specialised LLMs at once. The immediate goal is to turn our R&D prototypes into production-ready systems, then keep scaling them until they can handle real-world, mission-critical workloads. Here’s what the role looks like day to day: • Architect and code large-scale agentic functions, swarms and orchestration layers that can reason, plan and act with minimal human guidance. • Integrate and benchmark state-of-the-art language models (OpenAI, Anthropic, Llama 2/3, etc.) alongside tools like LangChain, CrewAI, Semantic Kernel or your own preferred framework. • Optimise memory, ...

I want to build an AI agent that can pose the same research question to at least five different large-language-model APIs (e.g. GPT-4, Claude, Cohere, Palm, Llama-2 via Hugging Face) and capture every answer in real time inside a single Google Sheet. The workflow should look like this: 1. I type or paste a prompt once. 2. The agent forwards that prompt concurrently to each chosen LLM. 3. As soon as each model replies, the agent writes a new row to my Google Sheet with these columns: timestamp, prompt, model name, full response, and any cost/latency data you can easily expose. 4. When all models have answered, the sheet shows a complete, side-by-side record that I can analyse for research purposes. Language and stack are flexible; pick whatever lets you move fast (Python, JavaScript...

Earn $100 USD in ~1.5 hours. No experience needed. Just show up and move. WHAT'S THE GIG? We are recruiting more than 100 participants (native Hawaiin or mixed native Hawaiin) for a short, in-person video data collection study in Hawaii. You'll perform simple everyday movements — walking, sitting, standing, navigating stairs — in a controlled indoor setting while cameras capture footage from multiple angles. This data helps train next-generation AI systems. That's it. No acting experience. No special skills. Just be yourself. THE DETAILS Location: Hawaii (indoor venue — details shared upon booking) Pay: $100 USD per session — paid promptly Duration: ~1.5 hours including check-in and activities Activities: Walking, sitting, standing, stair use &mdash...

We need raters to evaluate and rate the search results based on Factuality, Severity & Helpfulness of responses generated by GenAI LLM. You must be a native US based freelancer to participate for this project. You will need to have a rational & logical thinking ability having base knowledge of LLM/Gen AI, able to internet research. It is also important that you have a laptop or computer and a good internet speed. You will be required to work for around 5-6hrs/daily with a pay rate of $16/hr. If you can do more than that we are ready to assign you the work accordingly.

Descripción: En Network Supplies, buscamos un profesional altamente calificado y creativo en la edición y generación de video con herramientas de inteligencia artificial. El candidato ideal debe dominar la producción de contenido visual dinámico, combinando técnicas tradicionales con las herramientas de inteligencia artificial. Responsabilidades Clave: Producción Integral: Ejecutar el proceso completo de guionización, edición y post-producción de videos. IA Generativa: Utilizar plataformas de vanguardia como Sora, Veo y otras herramientas de IA para optimizar tiempos y elevar la calidad visual. Adaptación de contenido: Crear piezas específicas para redes sociales, marketing digital y comunicaciones corpora...