自然语言处理 Jobs

I want a fully working AI voice receptionist that I can dial today and hear in action before I commit to anything. The system must: • Pick up every call in a friendly tone, capture the caller’s name + number, and either record a voice message or confirm an appointment slot in my calendar. • Answer two quick FAQs—our business hours and simple location/directions—without sounding robotic. Before discussing proposals, send a real Australian or international phone number (or a web link with click-to-call) where I can test the exact call flow you’d build for me. A short demo recording alone isn’t enough; I need to press the keys, speak to it, and watch it schedule or message in real time. Preferred stack is flexible—Twilio, Vonage, Microsoft ...

JARVIS – AI Voice Assistant JARVIS is a full-stack AI-powered voice assistant application designed to provide users with a natural, hands-free way of interacting with an intelligent assistant. The main idea behind the project was to create an assistant that can listen to the user's voice, understand the request, process it using AI, and respond naturally through both text and voice. The application combines a Flutter frontend, Python FastAPI backend, AI processing, Firebase services, speech recognition, and text-to-speech into one integrated system. Instead of building JARVIS as only a chatbot, the project was designed around the concept of a practical personal assistant that can understand commands and perform useful actions. How JARVIS Works The basic interaction flow is:...

I'm looking for an experienced Node.js developer to set up an AI Router. This intelligent proxy will dynamically distribute Natural Language Processing requests across multiple free AI providers. Requirements: - Support for Natural Language Processing services - Input format: Plain text - Dynamic request distribution Ideal Skills and Experience: - Proficiency in Node.js - Experience with AI APIs and proxies - Strong understanding of NLP tasks - Ability to handle plain text input Submit a brief overview of your experience and approach to this project.

I’m ready to collaborate with a stateside programmer who speaks and writes English effortlessly and located in only US. The work revolves around building and refining products that lean heavily on Python, JavaScript, Java, and broader Artificial Intelligence concepts. Day to day you’ll be hands-on with Machine Learning pipelines, Natural Language Processing services, Computer Vision modules, and Retrieval-Augmented Generation (RAG) techniques, transforming ideas or research into clean, production-ready code. We will outline milestones together, but every sprint will share the same expectations: write maintainable code, test it thoroughly, push through Git, and discuss design decisions in real time during U.S. business hours. If you can point to recent projects that showcase de...

A comprehensive Japanese technical report on artificial intelligence now needs to read as though it were originally written in polished, publish-ready English. The current draft is packed with algorithm explanations, code snippets, architecture diagrams, and performance tables, and every element must stay exactly where it is on the page—headings, figure numbers, table captions, footnotes, everything. Only the language changes; the layout does not. Because the piece is earmarked for formal publication, I expect precise terminology, consistent tone, and zero tolerance for ambiguity or machine-style phrasing. References to frameworks, model names, or metrics (e.g., PyTorch, Transformer-based encoder accuracy, ROC-AUC) must be rendered in the same professional style used by leading AI j...

I need an end-to-end AI solution that can locate, filter and deliver up-to-date scientific studies to research fellows on demand. The core idea is simple: a user enters a topic, keyword, DOI or even an abstract snippet and instantly receives the most relevant peer-reviewed papers, neatly ranked with key metadata and brief AI-generated summaries. To make that happen, the tool should draw from open databases such as PubMed, arXiv, Crossref and any other free or licensed sources you recommend, then apply NLP techniques—semantic search, named-entity recognition, topic clustering—to surface only the most pertinent results. A clean web interface or a lightweight desktop app is fine; what matters is accuracy, speed and an intuitive workflow for researchers who will be using it daily....

I have a clear goal: launch an AI-driven WhatsApp agent built entirely in n8n that can chat naturally with customers, qualify leads, answer product questions, recommend items, follow up, and trigger sales automations without human intervention. Here’s the environment I envision • n8n will act as the orchestration layer. Your flows should pull in an NLP engine of your choice through n8n’s HTTP or pre-built OpenAI / Dialogflow nodes so intent detection and response generation happen seamlessly. • The agent must cover three core use-cases from day one—customer handling, lead qualification, and product queries—while remaining easy to expand into follow-ups and revenue tracking later. • I’m not yet certain whether our WhatsApp Business API i...

REQUEST FOR PROPOSAL (RFP) WhatsApp-Based AI Automation System for Garba Event Management 1. Background & Objective We are organizing a Garba event (Navratri festival celebration) and wish to fully automate the participant journey — from inquiry to registration, payment, training attendance, event-day attendance, and visitor pass management — through a WhatsApp-based conversational bot powered by AI. The goal is that a user receives our WhatsApp number or a click-to-chat link through our promotional circulation (social media, posters, word of mouth). Once the user messages us, an AI-driven bot should handle the entire conversation and process end-to-end, with minimal manual intervention from our team. We are inviting proposals from experienced freelancers/agencies who have ...

I’m assembling a small, highly-skilled team of mathematics domain experts to help me refine a large-language model. Your main responsibility will be data annotation: taking raw mathematical questions, proofs, theorems, solution outlines, and related explanatory text and tagging them with the precise metadata the model needs (topic, sub-topic, difficulty level, prerequisite concepts, step-by-step reasoning, common misconceptions, etc.). Because this work directly feeds the model’s training loop and later evaluation, accuracy matters more than speed. You should feel comfortable distinguishing between, say, elementary number theory and analytic number theory, or spotting a subtle gap in a proof that could mislead the model. Familiarity with JSON-based annotation formats, Python...

Hi — I have an existing SaaS product called Northquill.ai. Northquill takes an existing PowerPoint presentation plus narration and creates a finished narrated MP4. The particularly important use case is NOT AI-generated narration. It is taking one existing continuous long-form recording and automatically determining when the presentation should advance through the original slides. My real-world stress test is approximately: - 4 hours of continuous existing narration - roughly 150 PowerPoint slides - no existing timestamp map Northquill already has an AI alignment/review workflow, but it consistently fails at this scale. The biggest problems are: - suggested timings lean heavily toward approximately equal splitting of the total audio across the slides; - the AI does not underst...

Relevant Project Experience AI Skill Gap Analyzer Developed an AI-powered platform that analyzes resumes against company-specific job requirements. Implemented resume upload and skill extraction using NLP techniques. Built skill-gap analysis to identify missing and required skills. Added company/job-role based analysis and job-readiness scoring. Developed an assessment system with MCQ quizzes and coding tests. Implemented authentication, protected APIs, database integration, and backend services. Built using Node.js, , MongoDB, React.js, and Python/NLP. AutoPulse – Used Car Review Sentiment Analysis () Built an NLP-based system for analyzing customer reviews from used-car platforms. Collected and processed large-scale review data. Performed text preprocessing, cleaning, and senti...

AI Integration & Intelligent Support Assistant for Existing Custom ERP Software We have a custom-built business management/ERP software currently being used by a company. The system includes multiple modules, including: Sales Purchase Accounts Warehouse HR & Payroll Inventory Other business-specific modules The existing software is built on .NET Framework. We are now looking for an AI expert/AI solutions architect who can review the existing system and provide a practical approach for incorporating AI into it. 1. AI for Higher Management We want to introduce an AI layer specifically for higher management/executives. The objective is to allow management to interact with the system using natural language and get meaningful insights from the company's existing data. For example: ...

# YARNS & COLORS | OPEN AI MISSION 001 ## Executive Email Intelligence Officer ### Building an AI Digital Employee for Executive Email Intelligence **Company:** YARNS & COLORS / 锦祥纺织科技（苏州）有限公司 **Location:** Suzhou, China **Engagement:** Paid Project / Milestone-Based Delivery **Open To:** Independent AI Builders, AI Workflow Architects, AI-Native Studios, and Small Technical Teams --- ## 1. What We Want to Build YARNS & COLORS is moving AI from a productivity tool toward a **Digital Workforce** responsible for defined business functions. This project is not another email summarizer or replacement email client. Our long-term objective is to build an: **Executive Email Intelligence Officer** — an AI Digital Employee that monitors authorized executive email communi...

# YARNS & COLORS | OPEN AI MISSION 002 ## Meeting Intelligence Center ### Turning Enterprise Conversations into Living Knowledge **Company:** YARNS & COLORS / 锦祥纺织科技（苏州）有限公司 **Location:** Suzhou, China **Engagement:** Paid Project / Milestone-Based Delivery **Open To:** Independent AI Builders, AI Workflow Architects, Knowledge Engineers, AI-Native Studios, and Small Technical Teams --- ## 1. What We Want to Build We are not building a simple **Meeting Recorder** or **AI Meeting Summarizer**. YARNS & COLORS wants to create an important real-time knowledge entry point for the enterprise. Every day, valuable first-hand information is created through internal meetings, customer visits, supplier discussions, video conferences, trade shows, product development, and technical...

I am assembling a small corpus of speech for an internal corporate-training module. Your part is straightforward: join me on Microsoft Teams, read through the short training script I will provide, and keep the delivery sounding as natural and conversational as you would in a real workshop. We record the session live; the whole call rarely exceeds an hour. Deliverables • One complete Teams recording (Teams’ standard audio format is fine) featuring your natural Saudi accent • Audio free of background noise, clipped starts, or long silences I release the $10-$15 payment as soon as I verify audio clarity and that the script has been covered in full. If you are a native speaker based in Saudi Arabia and have a quiet spot plus a stable connection, send me a quick note and...

I am expanding an existing embodied-AI stack and now want to double-down on Vision-Language-Action modelling. The core goal is to design, train and scale a full pipeline that takes raw multimodal data, learns a joint representation and closes the loop all the way to real-time action on a physical robot. You will start from large, messy datasets (images, video clips, proprioception, language annotations) that already sit on our cluster. The job is to craft a new architecture in PyTorch, schedule distributed training, and iterate until the model achieves reliable closed-loop visuomotor reasoning in simulation and on hardware. Robust multimodal representation learning, a world-model/JEPA component, temporal memory, and predictive control need to come together in a single, maintainable codeba...