Naturlig språkbehandling Jobs

I need a skilled tech writer who can turn the latest breakthroughs in Artificial Intelligence—specifically Machine Learning—into clear, insightful technology reviews. Your work will help me keep my audience reliably informed, so each review should balance technical accuracy with readable, engaging language. I’m particularly interested in: • Practical evaluations of new ML frameworks, libraries, and tools • Performance comparisons against earlier versions or competing solutions • Real-world use-case highlights and potential business impact • Concise “pros, cons, and verdict” summaries that busy readers can scan quickly If you’re comfortable branching into adjacent AI areas such as NLP or Computer Vision—or even wide...

I need a set of everyday, conversational materials converted both ways between Hindi and English. Some files are short audio clips, others are casual chat extracts; all must first be transcribed verbatim in the source language and then rendered into a clear, natural-sounding translation. Accuracy, tone, and cultural nuance are vital—even though the subject matter is light, I want the finished text to read as if it were originally spoken in the target language. Time-stamping any audio will help me cross-check sections quickly. Deliverables • Clean source-language transcript (Hindi or English as received) • Side-by-side translation in the opposite language • Editable document (Word or Google Doc) with timestamps for audio content Quality is more important than s...

I'm looking for a freelancer to optimize my Freelancer.com profile, tailoring it to focus on beginner-friendly, high-demand services with these key aspects: 1. **Headline**: A professional and engaging headline to reflect my expertise in AI-powered tools, data entry, virtual assistance, web research, and admin support. 2. **Summary & Skills**: Prioritizing beginner-focused, high-demand services like: - AI-powered Virtual Assistance - Data Entry - Web Research - Lead Generation - Data Collection - Excel & Google Sheets - Copy-Paste Tasks - PDF Conversion - Email Management - Chat Support (Highlighting productivity improvement using AI tools over development work.) 3. **Visuals**: Recommendations for a clean, modern, and minimalist profile photo and cover image with an AI an...

I need a reliable contributor who can gather English-language text from Facebook and package it into a clean, well-structured dataset that can be used for downstream AI/NLP experimentation. The assignment is exclusively text-based; no images, audio, or mixed-media assets are required. Scope of work You will capture publicly available posts and their associated comments coming from Facebook pages or groups that allow legal, compliant scraping. Content must be written in English and sourced directly from the platform—no third-party aggregators. I am interested in a broad topical spread rather than a single niche so the final corpus reflects natural, everyday language as it appears in social media. Compliance & privacy All data has to be collected in accordance with Facebook&r...

I'm looking for a skilled developer to create an AI chatbot. The chatbot's primary function, platform integration, and interaction type are to be determined. Ideal Skills and Experience: - Expertise in AI and machine learning - Experience developing chatbots for various platforms - Proficiency in natural language processing - Ability to integrate with websites, mobile apps, and social media - Strong coding skills, preferably in Python or JavaScript - Previous experience in customer support automation Please provide examples of your past work and a brief outline of your approach to this project.

I’m ready to move from concept to production with an AI-driven system that combines natural language processing, predictive analytics and a set of custom-built models. The high-level goal is to ingest varied data sources, understand text at scale, uncover actionable patterns and expose the results through clean, well-documented APIs that my in-house developers can extend. Here’s what I need from you: • Model design and training – choose the right architecture (transformer, LSTM, hybrid, etc.) and justify it in a brief technical note. • End-to-end NLP pipeline – data cleaning, tokenisation, entity extraction and sentiment or intent classification. • Predictive layer – supervised or unsupervised techniques that surface trends and generate fo...

I need a concise Python project that takes the metrics Azure AI Foundry exposes for each Natural Language Processing agent I deploy and converts them into a clear carbon-emission figure per agent. Context • The agents handle Text data only and are limited to a Text classification workload. • Everything runs on Azure AI Foundry, so the solution must tap into the standard monitoring endpoints or logs that expose runtime details such as vCPU/GPU minutes, memory usage, region and uptime. Scope of work 1. Collect the relevant utilisation statistics programmatically (Azure SDK or REST). 2. Translate those numbers into kWh consumed and CO₂ equivalent using accepted carbon-intensity factors for the Azure region in use (the Azure Sustainability API or any peer-reviewed dataset i...

I am fine-tuning an AI system that uses retrieval-augmented generation to turn uploaded source documents into polished SDD (Software Design Description) sections. The current YAML prompt set is drifting: I see hallucination in the output—mostly content that the model half-understands or slightly twists rather than outright fabricates—and that small inaccuracy snowballs into wrong field mappings and cluttered tables. Your main mission is to open the existing prompt files, compare them line-by-line with the business template, and tighten the instructions so the model only returns evidence-based facts. Template alignment is the area that clearly needs the most love, yet the retrieval and synthesis rules also deserve a second look to be sure we are not hard-coding project-specif...

I have a corpus of Arabic hotel-related customer reviews that needs precise, aspect-level sentiment annotation. Your task is to label each mention of features such as cleanliness, location, and similar aspects with its corresponding sentiment (positive, negative, or neutral) so that downstream models can learn fine-grained insights, not just an overall score. The raw texts are already cleaned and segmented; what I require from you is the fully annotated dataset following a guideline document describing the aspect of each category of hotel. I am currently interested only in customer reviews. Please be comfortable working in Arabic, familiar with sentiment analysis best practices, and ready to deliver the final files in Excel. I will give you a sample to make sure you understand everything...

I want to automate the entire flow of finding, rewriting, and posting breaking stories in my niche WordPress newsroom. The system needs to: • Continuously watch both Google News and selected RSS feeds for fresh headlines that match a keyword list I will supply. • Pull the full-text of each candidate story, strip boilerplate, and hand it to an LLM (GPT-4o, Claude, or similar) to rewrite with a clear, human editorial touch—no robotic phrasing, no plagiarism. • Automatically add an introductory line that credits the original outlet before the body copy begins. • Push the finished piece to WordPress through the REST API, setting the post to Draft or Publish based on a simple flag in the configuration. Ideal workflow: lightweight Python (or Node) microservice...

I need a lightweight, secure application that can listen to both sides of my life-insurance sales calls, transcribe them in real time, and drop only the relevant facts into a structured worksheet on-screen. While the caller is still speaking, the system should automatically recognise and populate fields such as full name, date of birth, address, phone number, current medications and medical conditions. Key behaviour • Ignore small talk and fillers; capture only what belongs on the application. • If the caller corrects a detail (“actually, my phone is 555-0199”), the field must update instantly. • Anything that sounds uncertain—uncommon drug names, hard-to-spell surnames, email addresses, partial street names—should be highlighted or flagged s...

I’m running a systematic investigation into how prompt phrasing influences in-context regression performance. The work spans six separate axes, and for this engagement I want you to concentrate on two of them—Data preprocessing and Evaluation metrics—while keeping the other axes in mind so our findings remain extensible. The core set-up centres on text-based prompts only; no visual or multimodal inputs will appear in this round. All experiments will target polynomial regression tasks, so the prompts, data splits, and metric choices should reflect the non-linear nature of the underlying relationships. Here is what I need from you: • Curate or generate a clean, well-documented dataset suitable for polynomial regression, then outline the preprocessing steps you apply...

I want an AI-powered interactive chatbot that keeps me on track with spaced-repetition study and helps me improve my long-form, subjective answers. It should run in the browser and as a desktop app, sharing a single user account and database so I can switch devices without losing progress. The core flow I have in mind: • The system schedules questions using a proven spaced-repetition algorithm (SM-2 or equivalent) and presents them through a friendly chat interface. • I type my full answer; the chatbot uses NLP to highlight strengths, missing points, tone, or structure, then suggests concrete ways to refine the response. • All attempts, feedback, and review intervals are stored so the dashboard can show accuracy trends, time spent, and next-due items. Key deliverables ...

we want you to built a phone assistance system for voice and chat and there are many features to build. • Answering questions in real time • Setting reminders and alarms with contextual follow-ups • Making calls and sending messages hands-free • Language translation on demand and many many other features Beyond those must-haves, I’m open to additional smart features you can suggest and implement as long as they blend seamlessly into the same voice interface. The ideal workflow: 1. Architect the solution (cloud or on-device), outlining key tech such as Python, TensorFlow, Dialogflow, Twilio, or any stack you believe is best for low-latency, privacy-minded processing. 2. Deliver a functional demo—APK, iOS TestFlight build, or hardware prototype...

I run a food-and-beverage store and want customers to receive instant answers on WhatsApp, day or night. The bot must handle the usual questions—ingredients and nutrition facts, real-time pricing and stock status, plus any active special offers or discounts—and reply in clear, conversational language within seconds. Key requirements • 24/7 WhatsApp Business (or Twilio API) chatbot that greets the user, understands free-text queries, and serves the above details automatically. • Product data should flow in from my existing database; once I update a record, the new information must be reflected in replies without manual intervention. • Fast setup and low friction for both the customer and me; no separate app or login required on their side. • Simple beh...

SPPARKAL – AI Sewing Machine Maintenance Assistant Develop a voice-based mobile app called SPPARKAL for sewing machine maintenance and troubleshooting. The user should speak naturally and describe the machine problem. The app should convert speech to text, identify the language and problem, match it with a pre-fed and approved SPPARKAL troubleshooting database, and provide step-by-step guidance in the same language. Initially support Marathi, Hindi and English. The AI should only understand, classify and match the user's problem; it must not invent technical solutions. All troubleshooting procedures will be pre-fed and structured with problem name, symptoms, safety instructions, steps, user responses, next steps and escalation. The app should maintain conversation context and...

Necesito poner en marcha un asistente virtual que atienda nuestro número de WhatsApp Business y resuelva de inmediato las consultas frecuentes que llegan cada día. El objetivo es claro: cuando el cliente escriba, el bot debe identificar su duda y ofrecer la respuesta adecuada sin que tengamos que intervenir. Las respuestas deberán redactarse siempre en español y mantener un tono amistoso, cercano y claro. Yo aportaré un archivo con todas las preguntas frecuentes y sus respuestas sugeridas, además de las credenciales o acceso al proveedor que usemos para la integración (API oficial, Twilio, ManyChat, Dialogflow, etc.). Entrego: • Base de preguntas frecuentes con sus respuestas. • Acceso al número de WhatsApp Business. ...

I’ve wrapped up a new YouTube video on editing techniques and now I need a set of clean, casual-sounding captions that sync perfectly from start to finish. I’ll share the final cut (under ten minutes) along with a rough transcript; what I’m after is the polished version—accurate timing, natural line breaks, and wording that matches the relaxed vibe of the talk. You’re free to work in Subtitle Edit, Aegisub, or any tool you trust as long as the exported file lands in standard .srt (or .vtt) format and follows YouTube’s recommended character limits per line. Please keep technical terms exactly as spoken, note any unclear audio with a quick [inaudible] tag, and avoid guesswork on jargon. Deliverable • Fully time-coded .srt or .vtt file, ready for i...