Natural Language Processing Jobs

I’m building and need an end-to-end engagement engine inside GoHighLevel. The purpose is clear: turn every new enquiry into an active conversation that ends with the user pressing the “Request Quote from Venue” button. Here is what I need from you: • Map and build the CRM structure in GHL – custom fields, pipelines and tags – so every prospect is automatically tracked from first touch to final quote request. • Draft and load a multi-step nurture journey that blends email, SMS and scheduled social posts. All copy must be in natural, idiomatic English and reflect our brand voice. • Set up the triggers, webhooks and conditions that move a contact through the journey based on behaviour (opens, clicks, replies, site visits). • Use C...

Filipino/Tagalog Voice Tester & Translator (Freelance) Position: Native Filipino Voice Tester & Localization Translator Type: Ongoing Freelance / Remote Project: AI Voice Product About the Role We are seeking native Filipino (Tagalog) speakers to join our AI voice project. You will support phone testing, localization translation, and messaging connectivity checks to ensure our product delivers a natural, high-quality experience for Filipino users. Responsibilities Phone Testing: Participate in AI/human outbound call testing, evaluate voice quality, naturalness, and accuracy Localization Translation: Translate product content between Filipino (Tagalog) and English/Chinese, ensuring cultural appropriateness and linguistic accuracy Messaging Testing: Conduct voice and SMS connectivity...

you must built AI-driven phone assistant system that can pick up, understand, and respond to callers in 40 languages—English, Spanish and Chinese being the first three on the list. MVP is only 50% of the work there nany other features What the assistant must already do in this MVP • Detect the caller’s language automatically and switch voice synthesis accordingly. • Handle the three key interaction types I’ve selected—Appointment scheduling, Sales inquiries, Customer service—with natural, conversational flow. • Confirm or book appointments directly into Google Calendar (or a similar calendar API) while emailing or texting confirmations to the client. • Log sales or service requests to a simple CRM endpoint (a REST webhook is fin...

I need a self-hosted script that automatically reads every new Instagram post in my feed (no restrictions to hashtags or accounts) and then leaves a thoughtful comment that ties directly to the caption’s wording. The automation must rely only on code I can run on my own machine or server—no cloud services, commercial schedulers, or other third-party apps. Core logic • Pull each fresh post and extract the full caption text. • Run lightweight text analysis/NLP to understand the main topic or sentiment. • Generate a short, human-sounding reply that feels relevant to that text. • Publish the comment instantly through the official Instagram Graph API or another method that stays within Instagram’s policy limits. Deliverables 1. Fully commented s...

I’m building an Android-only mobile app and I need a self-contained AI “command skill” that works purely through typed input. The goal is simple: when a user enters a natural-language request in a text field, the skill should recognise intent, extract any required parameters, and hand the result back to the main app so we can trigger the correct feature or workflow. Here’s what matters most to me: • Accurate intent recognition on common, short queries as well as longer, conversational text. • Fast response times; round-trip latency under a second when using a cloud NLP service, or comparable speed when running locally with a lightweight on-device model. • A clean Android interface (Java or Kotlin—your choice) that exposes one callable fun...

Freelance — Real-Time Streaming STT (Web) Existing prototype, deployed and tested in real conditions. Not a rebuild — we need it hardened. What runs today: a commercial streaming STT API over WebSocket (EU-hosted, provider chosen — named in private exchange), wrapped in a shared JS module. Mic capture and PCM 16 kHz streaming via Web Audio API, custom vocabulary, free-form French dictation parsed into structured lines and matched against an internal catalogue. Vanilla JavaScript, no framework, no build step; Firebase Realtime Database; PWA on smartphone. What we need: Reliability in noisy conditions — false finals on silence reach the application layer. Endpointing, thresholds, confidence handling. Securing the API key — currently client-side, needs a serv...

I need an AI-driven bot that takes the heavy lifting out of recruiting by automatically recommending the best-fit candidates for each open role. The bot’s single, measurable outcome is simple: generate a ranked shortlist so I can move straight to interviews instead of wading through piles of résumés. Here’s the workflow I have in mind. A hiring manager uploads or points the system to application data—CV PDFs, LinkedIn profile links, or any structured form we decide to support. Your model then parses, normalises, and enriches that data, evaluates each applicant against the role description, and returns a clear, ordered list with confidence scores plus a quick justification (skills matched, years of experience, keywords, etc.). Weightings for experience, ed...

Project Title Senior Privacy Research Engineer — NLP Anonymisation & De-Identification (R&D Contract) Category / Skills tags Python, Natural Language Processing, Machine Learning, Data Privacy, Algorithm Development, Artificial Intelligence, Research, Named Entity Recognition (NER) Project Type Full-time or heavy part-time contractor engagement. Open to individuals, teams, or agencies — please make clear in your bid who would actually be doing the work and how continuity is maintained if more than one person is involved. Bidders should propose their own rate and estimated timeline based on the scope below. Description We're building a privacy-preserving enterprise AI governance platform (UK patent-pending) and are hiring for the research-critical slice of th...

i want someone to write me trasncripts in kannada like below in the same format related to loan related conversations { "valid_conversation": true, "turns": [ { "turn": 1, "previous_agent_utterance": "ನಮಸ್ಕಾರ ಸರ್, ಎಬಿಸಿ ಫೈನಾನ್ಸ್‌ನಿಂದ ಕಾಲ್ ಮಾಡ್ತಿದ್ದೀನಿ. ಹೋಮ್ ಇಂಪ್ರೂವ್ಮೆಂಟ್ ಲೋನ್ ಬಗ್ಗೆ ಆನ್‌ಲೈನ್‌ನಲ್ಲಿ ವಿಚಾರಿಸಿದ್ದೀರಾ?", "customer_utterance": "ಹೌದು ಸರ್, ಕೋಲಾರದಿಂದ ಮಾತಾಡ್ತಿದ್ದೀನಿ, ನನ್ನ ಹೆಸರು ಅನಂತ್. ಮನೆ ನವೀಕರಣ ಮಾಡಲು ಹೋಮ್ ಇಂಪ್ರೂವ್ಮೆಂಟ್ ಲೋನ್ ಬೇಕಿತ್ತು.", "new_information": true, "field_updates": { "requested_loan_type": "Home Improvement Loan", "customer_location": "ಕೋಲಾರ", "customer_name"...

I’m looking to have an AI chatbot built whose sole purpose is to answer user questions by pulling facts from publicly available websites in real time. Core requirements • Develop the chatbot engine—natural-language understanding, dialogue management, and response generation. • Implement a crawler or API-based scraper that fetches content from selected public websites, cleans it, and stores it in a searchable format (vector store, database, or other approach you recommend). • Design an information-retrieval pipeline that ranks and cites the most relevant passages so answers can be traced back to their sources. • Provide a simple web interface or API endpoint so the bot can be embedded later in my site or app. Key considerations – Accurac...

I’m building a truly offline-first note-taking experience for Android. The app will receive audio snippets (WAV only) sent from a wearable pendant, save them locally, then handle everything on-device: • Transcribe the recording as soon as it arrives. • Pass the text through a compact on-device LLM to create a short, coherent summary. • Store both the transcript and the summary in a local vector index so I can run keyword searches or open a Chat-style interface to ask questions about my past notes. No cloud calls are allowed at any point—airplane mode must not break any function. I’m comfortable with solutions such as or Vosk for speech-to-text and or similar for the LLM, as long as the final APK keeps all models on the handset and latency stays reas...

AI Desktop Digital Assistant for Energy Performance Inspectors (Greece) Software Requirements Specification (Draft) 1. Project Goal Develop a Windows Desktop AI assistant for Civil Engineers performing Second EPC (B' EPC) quality control and Exoikonomo project verification. The software supports the engineer and does not replace professional judgement. 2. Platform Windows Desktop application, local installation, local project storage, offline mode whenever possible, optional Cloud AI, Internet connection, integrated 'Check for Updates' button and modular architecture. 3. Project Folder Workflow Users simply copy project files into a project folder. The software automatically detects, classifies and links documents without manual import. 4. Supported Files PDF, scann...

I need an end-to-end AI phone assistance system with many features that can take over our customer support and sales line, greet callers naturally, recognise what they are saying, route them to the right department when needed, and resolve common questions on the spot by pulling answers from a dynamic FAQ. Alongside the phone workflow, I also want a hybrid chatbot that can hold the same conversation either by text or voice on our website and mobile app, so customers experience one consistent support channel whether they call in, type, or speak through their microphone. Key capabilities we must see in the finished solution: • Automated call routing driven by intent detection • Accurate voice recognition with low latency • Shared FAQ/knowledge-base handling for bot...

I want to automate the most time-consuming parts of our U.S. dental revenue cycle with AI-driven bots. The immediate focus is on four key billing activities: • Claims submission • Payment posting • Insurance verification • Eligibility checks The bots must work smoothly inside our existing practice-management software and log in to the major insurance company portals we use every day. If an API is unavailable, screen automation or other reliable work-arounds are acceptable as long as they remain HIPAA-compliant and error-resilient. I’m not fixed on one type of AI; whether you lean on traditional rule engines, machine-learning models, natural-language processing, or a hybrid approach, I’m open to the method that gives the highest accuracy and speed...

1. Set up the project foundation – Initialize the project repository, environment configuration, and basic application structure for the Generative AI system. 2. Design the user interaction layer – Create a simple interface or API that allows users to upload documents and ask natural language questions. 3. Implement document ingestion – Enable uploading and processing of enterprise documents in multiple formats such as PDF, TXT, CSV, or Excel. 4. Prepare data for semantic search – Convert processed document content into chunks suitable for embedding and retrieval. 5. Build a vector-based knowledge store – Generate embeddings and store them in a vector database to support semantic similarity search. 6. Implement intelligent document retrieval – Retrieve t...

Native Romanian speaker needed to review 125 question-and-answer pairs for an academic multilingual benchmark dataset. This is a two-phase project. Phase 1 (text review) is the work starting now; Phase 2 (audio recording) follows after the organizers approve the text. PHASE 1 - TEXT REVIEW (current phase) For Phase 1, you should read every question and answer as a native speaker, checking factual accuracy, natural and idiomatic language, spelling, grammar, cultural appropriateness, and whether the question is clear, self-contained, sufficiently challenging, and has only one short, unambiguous answer. Open the evidence URL and confirm that it directly supports both the question and answer, ensure the wording does not reveal the answer, verify the English translations, correct any problems,...

I’m building a small web app that lets a visitor enter a few pieces of personal information, drop a policy PDF onto the page and, within seconds, receive a clear data-table showing the policy’s benefits and coverage limits. Phase 1 is simple yet critical: get this working flawlessly on my own site. I need you to wire together the PDF ingestion, AI/NLP extraction, and a clean table output that is also sent to our back-office database so my team sees the same results instantly. Accuracy on “Policy Benefits” and “Policy Coverage Limits” is key; anything outside those two fields can be ignored for now. Once that core flow is stable, Phase 2 will package the same logic into a lightweight widget (JavaScript snippet or iframe—whichever loads fastest...

I’m running a one-hour recording session on Microsoft Teams to collect conversational dialogue that will feed directly into a voice-recognition training dataset. Because the system we are refining targets North-American pronunciation, I need native U.S. English speakers only. During the call you and another participant will hold a relaxed, natural conversation built around corporate-training scenarios—think workplace policies, onboarding experiences, and similar topics. No reading from a script; I’m after spontaneous speech that still feels professional. What you’ll deliver • Attend a single 60-minute Teams meeting at the scheduled time • Use a quiet environment and a decent headset or built-in mic so the audio is clear • Follow a short prompt...

I am looking for a skilled freelancer to develop an AI-driven voice agent tailored for facilitating seamless order processing for my e-commerce platform. The project involves creating a voice agent with custom personality traits to enhance user engagement and satisfaction. Key Requirements: - Develop an AI voice agent capable of interacting with customers in natural language. - Incorporate a customizable voice personality feature. - Ensure the agent supports multilingual interactions for diverse customer bases. Expected agent features: - Guide customers through the ordering process with clear instructions. - Accurately gather order details including product, quantity, shipping, and payment. - Confirm order details to prevent errors and suggest relevant add-ons or apply discounts. - Clearly...

I am looking for a skilled freelancer to develop an AI-driven voice agent tailored for facilitating seamless order processing for my e-commerce platform. The project involves creating a voice agent with custom personality traits to enhance user engagement and satisfaction. Key Requirements: - Develop an AI voice agent capable of interacting with customers in natural language. - Incorporate a customizable voice personality feature. - Ensure the agent supports multilingual interactions for diverse customer bases. Expected agent features: - Guide customers through the ordering process with clear instructions. - Accurately gather order details including product, quantity, shipping, and payment. - Confirm order details to prevent errors and suggest relevant add-ons or apply discounts. - Clearly...

I’m building a small web app that lets a visitor enter a few pieces of personal information, drop a policy PDF onto the page and, within seconds, receive a clear data-table showing the policy’s benefits and coverage limits. Phase 1 is simple yet critical: get this working flawlessly on my own site. I need you to wire together the PDF ingestion, AI/NLP extraction, and a clean table output that is also sent to our back-office database so my team sees the same results instantly. Accuracy on “Policy Benefits” and “Policy Coverage Limits” is key; anything outside those two fields can be ignored for now. Once that core flow is stable, Phase 2 will package the same logic into a lightweight widget (JavaScript snippet or iframe—whichever loads fastest...

I am seeking a professional service to develop an advanced AI Voice Agent for my business. This agent must be capable of handling multilingual communication and operate on a 24/7 basis, ensuring seamless customer interaction. The solution should utilize state-of-the-art AI technologies to deliver reliable and context-aware responses to users. Key Requirements: - Develop a multilingual AI Voice Agent capable of conducting meaningful conversations. - Implement 24/7 availability for uninterrupted service. - Ensure the system is both scalable and secure. Expected agent features: - Multilingual support for diverse customer needs. - Continuous operational readiness. - Adaptability to various user contexts and preferences. AI Agent Prompt: You are an AI specialist in recommendations with expertis...

Title: AI-Powered PDF Chatbot Using RAG (Retrieval-Augmented Generation) Description: I built an intelligent PDF chatbot that lets users upload any document and get instant, accurate answers — no more manually searching through pages of text. How it works: The bot uses Retrieval-Augmented Generation (RAG) to combine the power of large language models with your own document data. Instead of relying on generic AI knowledge, it retrieves the most relevant sections from the uploaded PDF and generates precise, context-aware answers grounded in that specific content. Key features: Upload any PDF (contracts, reports, research papers, manuals, etc.) Ask questions in natural language and get instant, accurate answers Semantic search using vector embeddings — finds relevant info eve...

I need help turning my computer into a true personal assistant. The idea is to install and configure a locally running virtual-assistant desktop application that listens to whatever command I give it—whether that is “set up a meeting for Thursday,” “draft a reply to this email,” or “find and move last month’s invoices into a new folder.” We can build on any solid stack you’re comfortable with: Python, LangChain, Node, Electron, Auto-GPT, or another framework, as long as everything ends up running on my own machine with my keys and data. The assistant should launch like any other desktop app, accept voice or typed input, and return results or carry out the requested action without me opening a terminal window. Deliverables • F...

I’m building a green-field SaaS startup and need a set of AI agents that will sit at the heart of the platform. Each agent must seamlessly blend Natural Language Processing, Machine Learning and Predictive Analytics so it can absorb both structured and unstructured data, learn from every interaction and surface actionable, forward-looking insights for our users in real time. What I need you to do • Design the overall agent architecture as modular micro-services that we can scale independently. • Implement and train the first production-ready models on the sample data I provide, then document how my team can retrain them as fresh data arrives. • Expose the agents through a clean REST or GraphQL API and, where it makes sense, a conversational chat interface. &bu...

I need a browser-based application where a user can drag-and-drop CSV, Excel, or JSON files, then talk to the system in plain English to fix messy data—especially rows or columns riddled with missing values. After the cleaning step, the same conversational interface should let the user request summary statistics, build quick charts, or even forecast trends. The workflow must always begin with a rock-solid imputation or other suitable treatment of nulls. Core flow I have in mind: 1. Upload: accept the three formats above and automatically profile the dataset. 2. Clean: surface any fields with gaps, let the user choose (or confirm an AI suggestion) for how those gaps are handled—mean/median substitution, forward fill, deletion, etc.—and produce a cleaned version that can b...

Our pest-control company wants every incoming lead to feel as if they are speaking with a friendly, knowledgeable human the moment they pick up the phone. I need an AI voice agent that can answer calls, qualify the caller, give basic service information, gather contact details, and seamlessly hand hot leads to my team or book them into our calendar. The focus is customer communication by phone only—no email or chat for now. Please show past work where you have: • Deployed or customised voice AI (Twilio Voice, Dialogflow CX, Amazon Connect, or comparable platforms). • Trained the agent on industry-specific knowledge or FAQs. • Integrated call transcripts and lead data into a CRM or spreadsheet. Key tasks ahead: 1. Design the conversation flow around typical ...

Quiero implementar una solución de inteligencia artificial que responda automáticamente los mensajes que recibo en mis canales de Facebook, Instagram y WhatsApp (todos bajo el ecosistema Meta). Objetivo – Reducir el tiempo que invierto contestando consultas. – Mantener un tono cercano y adaptado al contexto de cada usuario; no busco respuestas genéricas, sino réplicas personalizadas basadas en el contenido del mensaje entrante. Alcance del proyecto 1. Integración API: Conectar la IA a las APIs oficiales de Facebook Messenger, Instagram Direct y WhatsApp Business. 2. Motor de respuesta: Configurar un modelo (por ejemplo, GPT, Dialogflow u otra alternativa que recomiendes) capaz de: • Analizar la intención del mens...

Quiero poner en marcha un bot para WhatsApp que atienda automáticamente a cada persona que escriba. El flujo ideal es el siguiente: 1. El bot detecta palabras clave en el mensaje entrante y genera una respuesta automática coherente. 2. Con esas mismas palabras clave clasifica el mensaje por tema; por ahora me interesa que reconozca “Consultas generales”, pero el diseño debe dejar la puerta abierta para incluir más items más adelante. 3. Según el tema asignado, el sistema envía un correo electrónico a la bandeja correspondiente para que el equipo actúe con la prioridad adecuada. Entregables esperados • Código fuente bien documentado del bot (puede ser en Node.js, Python o la tecnología que ...