Natural Language Processing Jobs

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...

We are seeking native and fluent Marathi speakers ages 18-60 years old to participate in a speech data collection project focused on high-quality audio recordings for language and AI research purposes. The project involves recording 220 scripted utterances through a mobile-based recording application while following strict quality and recording guidelines. The pay rate for this task is $4-$5 Please complete this pre-vetting Google Form: Participants will read and record client-provided phrases in controlled acoustic environments with minimal background noise. Recordings must meet quality standards, including proper silence padding, clear audio, and no interruptions or distortions. Each participant is expected to complete the required number of recordings with a minimum approval rate. T...

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...

I’m building an interactive app that lets users practise new languages by holding natural, real-time conversations with an AI tutor. The minimum viable product must handle English, Spanish and Chinese fluently, with follow-on expansion to Korean, Japanese, Thai, Hindi and Portuguese once the core engine is stable. kind of like the app currently exisitng Core scope • Conversation engine that understands and responds contextually in the target language. • Smooth switch between languages during a session without losing context. • User interface for text and optional voice chat (mobile or web—whichever stack you are most comfortable with, e.g., React Native, Flutter, Swift/Kotlin). • Admin dashboard to add new language models as they become available....

Project MARS is a large-scale cultural data annotation initiative. Contributors review and annotate AI-generated responses to ensure they accurately reflect authentic English (Singapore) cultural and personal values. Your work directly helps train Large Language Models such as ChatGPT, Gemini, and Claude to respond in culturally appropriate ways. WHAT YOU'LL DO: Each session consists of two stages: Stage 1 — Questionnaire Survey (~30 minutes) - Complete three validated surveys covering your demographics, personal value priorities, and cultural identity Stage 2 — Cultural Value Annotation (~150 minutes, minimum 10 annotation sets) - Select culturally relevant topics reflecting current Singapore norms - Articulate and rank 3–5 cultural value principles per...