Penyelidikan AI Jobs

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 need a clear, developer-ready requirements document for an AI system whose core job is data analysis on image data—specifically screencaptures. Here’s what I’m looking for: • A concise project overview that states objectives, success criteria, and any assumptions. • A data section describing expected screencapture formats, resolution ranges, storage locations, and privacy safeguards. • Detailed functional requirements that walk through the end-to-end pipeline: ingestion, preprocessing, labeling guidelines, and model-ready datasets. • Non-functional requirements covering performance targets (latency, accuracy, throughput), scalability, and security. • A modeling strategy outline suggesting suitable computer-vision approaches, necessa...

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 want to bring an AI layer into our existing Microsoft Teams environment so it can take over three day-to-day jobs for my group: project tracking, chat moderation, and task assignments. We already have well-defined workflows inside Teams, so the goal is to plug an intelligent assistant into what we are doing rather than rebuild anything from scratch. I am open to whichever engine suits the job—Zoom AI, Gemini, or any comparable platform—as long as it integrates cleanly with Teams and gives us clear, automatic reports on what is done and what still needs attention. Here is what I need from you: • Configure or build the AI integration inside MS Teams so it can read channels, pick up new tasks, assign or reassign owners, flag overdue items, and keep the conversation produc...

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...

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...

I have developed an AI-assisted scriptwriting platform that already has core functionality and is currently in an iterative stage. However, as the product has evolved, the requirements have become increasingly fragmented, feature boundaries are unclear, user flows contain gaps, and the existing UI prototypes reveal structural design issues. I am looking for a senior product manager to help systematically restructure the product logic and improve the current prototypes. The scope of work includes conducting a comprehensive review of existing features, reorganizing and structuring requirements, clarifying the core business loop, and redefining feature prioritization. Based on this, you will design complete user flows and activity flow diagrams, refine the core creative journey, and optimize...

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.