Naturlig sprogbehandling Jobs

I’m looking to turn our scattered know-how—hundreds of PDFs, policies, detailed reports, emails, meeting minutes, and assorted documentation—into a single Retrieval-Augmented Generation assistant that answers questions instantly and finds the exact source passage behind every reply. What I already have in mind • Ingestion pipeline that automatically pulls new or updated PDFs, email archives, and other internal files, cleans the text, and embeds it in a vector store (FAISS, Pinecone, or a similar tool). • A lightweight search layer so staff can type a query and receive both a concise answer and the ranked source documents. • Chat-style interface (web or Slack/Teams bot) backed by an LLM with citations, guardrails, and role-based access. • Modular...

I'm looking for an experienced developer to create an AI assistant that automates various tasks. The AI assistant should be able to handle: - Email management - Scheduling appointments - Document organization - Research - Making calls - Booking appointments - Sending quotes and invoices Ideal skills and experience include: - Proficiency in AI and automation technologies - Strong background in natural language processing - Experience with task automation tools and workflows - Excellent organizational skills - Prior experience in building similar AI assistants Please share your relevant experience in your application.

I’m looking for an experienced AI/Software Engineer to work on NL2Repo and repository-level coding tasks. The work involves translating natural-language requirements into changes to existing code repositories, including implementation, testing, debugging and validation. Before hiring, I need to review relevant previous work. Please send 1–3 strong samples showing experience with NL2Repo, SWE-bench, coding agents, repository-level code generation, automated code repair, or similar projects. Please include: * Your role in the project * GitHub/demo/patch if available * Technologies/tools used * Brief explanation of what you built Please don’t send unrelated portfolio work. I’m specifically looking for real repository-level engineering experience.

I need help turning a sizable collection of unstructured finance-related text and document feeds into an accurate, production-ready predictive model. My goal is to spot patterns that reliably forecast the target variables I will share once we start (think risk scores and market-driven KPIs). The raw inputs arrive as news articles, earnings transcripts, and PDF reports, so the first step is a solid NLP-centric pipeline that cleans, tokenises, and extracts meaningful features. I work in a regulated environment, which means the code must be reproducible, well-commented, and easy to audit. Python with libraries such as spaCy, Hugging Face Transformers, pandas, and scikit-learn—or an equivalent stack—makes the most sense to me, but I’m open to a better suggestion as long as i...

I need a standalone Windows application that bundles a local GPT-style language model with a voice layer powered by Google Assistant. The workflow is simple: I open any PDF, the model ingests it locally, and then—through voice alone—I can ask questions about the document and get spoken answers back. Key points I must see working: • Runs entirely on Windows without needing command-line setup. • Uses the Google Assistant voice interface for both input and spoken output. • Processes PDFs offline: the text is extracted, fed to the model, and retained only on my machine. • Voice queries such as “What is the author’s main argument on page 5?” return an accurate, concise spoken answer within a reasonable response time. I’m open to wh...

I’m building out a series of AI-driven features and need an engineer who can step in wherever the development cycle demands— from early-stage prototyping to production deployment. The exact focus is still open, so you’ll help me evaluate whether classic machine learning, natural language processing, or computer vision best fits each feature we prioritise. Here’s how I see the collaboration: • Work with me to clarify the first use-case, audit the data I already have, and outline any additional collection or labelling steps. • Design a model architecture suited to that problem, train and validate it, then document performance clearly enough for non-technical stakeholders. • Package the solution into clean, modular code (Python preferred) with stra...

I need an AI voice agent to act as a virtual assistant for inbound calls. The voice agent's primary role will be to provide advisory services based on a knowledge base that I will provide in the form of a PDF file. Key Requirements: - The AI voice agent should be able to handle inbound calls. - It must provide advisory services using a provided knowledge base. - The knowledge base will be in PDF format. May handle multiple calls at a time. Need fixed monthly plan / one time preferred Already Have a 8 sim gsm gateway synway 4008. Ideal Skills and Experience: - Experience in developing AI voice agents. - Proficiency in natural language processing (NLP). - Familiarity with integrating voice agents into calling systems. - Ability to work with and interpret information from PDF docume...

I have a Marathi comedy series in MP4 format that needs full closed captions for the hearing-impaired. On the form I marked the episode count as “Maruti,” so think of it as a batch rather than a one-off; please price your work per episode and we’ll start with a pilot file to be sure everything clicks. The captions must be in Marathi, include speaker IDs and relevant sound cues (laughter, music stings, door slams, etc.), and read naturally at a comfortable speed. Sync accuracy is essential—I expect each line to land within a frame or two of the dialogue. You’re free to work in Aegisub, Subtitle Edit, or any other professional subtitling tool, as long as you deliver UTF-8 .srt files that drop straight onto the master timeline with no extra tweaking. Deliverab...

I manage several property listings and, every day, messages arrive in Spanish across Text messages, WhatsApp, Facebook Messenger and Google Voice. I need a single AI-driven solution that can automatically pull each incoming message, translate it to English, understand whether the sender is asking about an available property, a booking detail, or a maintenance issue, and then craft a reply that feels helpful and human. For the reply style, I want a mix of both preset templates (e.g., directions to the property, check-in times, basic troubleshooting) and dynamic, context-aware wording that adjusts to the exact question or concern. The system should log all conversations, flag anything it cannot classify confidently, and let me jump in manually when needed. Please build or integrate with th...

I need a speech-driven virtual assistant that lives on iOS, Android, and in a lightweight web client. Its core jobs are threefold: handle calendar scheduling with smart reminders, fetch facts or real-time information on request, and trigger common home-automation actions such as lights, thermostat, or security scenes. I am looking for an end-to-end build that covers natural-language understanding, speech-to-text, text-to-speech, and a small but polished UI shell for each platform. You are free to choose the NLP stack—Dialogflow, Rasa, or a custom transformer model—so long as latency stays low and the solution can scale. For voice, feel free to tap into native engines (Apple Speech, Google Speech, Web Speech) or a cloud provider like Azure Cognitive Services if it speeds deve...

Quiero que mis clientes reciban ayuda inmediata en WhatsApp, completamente en español, sin depender de un agente conectado todo el día. Para ello necesito un chatbot con IA que gestione la atención al cliente mediante respuestas automáticas, cubra mis preguntas frecuentes y, si es necesario, derive al equipo humano. El trabajo consiste en: • Elegir y configurar la mejor plataforma compatible con la API de WhatsApp Business (Dialogflow, ManyChat, Twilio, etc.). • Diseñar el flujo conversacional, crear intents, entidades y respuestas naturales en castellano. • Entrenar el modelo con mi propia base de datos de preguntas o contenido que facilitaré. • Integrar el bot en mi número de WhatsApp, probarlo en vivo y ajus...

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 ...

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.

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...