Hire the Best LabWindows/CVI Specialists

Your model is only as smart as the person labeling its data! Bad training data is the #1 reason ML projects miss the accuracy targets. Mislabeled frames and skipped edge cases compound into models that fail on real-world inputs. I am Iqra and I treat your annotation guidelines as a contract. My passion for AI is reflected in my role as a Data Annotation Specialist with hands-on CVAT experience labeling images and video for computer vision models. I deliver pixel-accurate bounding boxes, polygons, and segmentation masks that train production-ready AI not "good enough" data that breaks your model in deployment. ✅ WHAT I ANNOTATE IMAGE ANNOTATION — Bounding boxes, polygons & polylines — Semantic & instance segmentation — Object detection & classification labeling — Landmark & keypoint annotation — Image tagging and categorization TEXT ANNOTATION — Named entity recognition (NER) — Sentiment analysis & intent labeling — Text classification & topic tagging AUDIO & VIDEO ANNOTATION — Transcription and speaker diarization — Audio event tagging & classification — Subtitle alignment and timestampin ✅ Tools I work with daily: CVAT • LabelBox • Label Studio • Roboflow • SuperAnnotate • V7 Labs • Amazon SageMaker Ground Truth • Encord ✅Who I work best with: — ML/AI startups building computer vision or NLP products — Companies running ongoing annotation pipelines who need a reliable long-term labeler — Teams doing RLHF or LLM evaluation work ✅How I work: — I start every project by reviewing your guidelines and annotating a small test batch (20-50 items) so you can verify quality before scaling — I document edge cases as I find them and ask clarifying questions in batches — not one-by-one interruptions → I deliver in your preferred format with a short QA summary noting any uncertain labels for your review — I'm available 30+ hours/week and respond to messages within a few hours during my workday. ✅What you actually get when you hire me: — 98%+ annotation accuracy verified through QA review cycles — Edge cases flagged and discussed — not silently guessed at — Consistent labeling logic across large datasets — Fast turnaround on bulk work without quality drop-off in the last 10% Send me your annotation guidelines and a sample batch — I'll return a labeled test set within 24 hours so you can verify accuracy before committing to a larger contract. Looking forward to helping you build training data your model can actually learn from. Iqra Akram

Disorganized data costs you time. Bad training data costs you everything...! Hi, I'm Anam, based in Ohio, USA. And I fix both. A Data Entry and Annotation Specialist with 4+ years of experience helping businesses stay organized and AI teams build cleaner, more reliable datasets. Whether you need your spreadsheets cleaned up, your CRM updated, or your image datasets labeled for machine learning, you GOT it ✅ DATA ENTRY SPECIALIST DATA MANAGEMENT Data entry into Excel, Google Sheets, Airtable & CRMs Data cleaning, deduplication, validation & formatting PDF to Excel/Word conversion & bulk uploads Spreadsheet formulas, pivot tables & conditional formatting E-COMMERCE DATA ENTRY Product listing on Shopify, Amazon, eBay, Etsy & WooCommerce Bulk product uploads, title & description formatting CRM DATA ENTRY & MANAGEMENT HubSpot | Zoho | Salesforce | Pipedrive | GoHighLevel Contact management, pipeline updates & data segmentation Zapier integrations & basic automation setup Real Estate Data Entry WEB RESEARCH & LEAD GENERATION B2B/B2C lead list building & verified contact collection LinkedIn research & email list building (Hunter, Apollo) Market, product & competitor research ✅ DATA ANNOTATION & AI TRAINING IMAGE ANNOTATION Bounding boxes, polygons & polylines Semantic & instance segmentation Object detection, classification & keypoint labeling TEXT ANNOTATION Named entity recognition (NER) & sentiment labeling Intent classification & NLP dataset preparation Text tagging & categorization AUDIO & VIDEO ANNOTATION Transcription & speaker diarization Audio event tagging & classification Video frame-level object labeling TOOLS CVAT | Labelbox | Roboflow ✅ WHY CLIENTS KEEP COMING BACK High accuracy on both high-volume and detail-heavy tasks I follow guidelines closely and flag edge cases before they become problems Responsive, reliable, and easy to work with across time zones I treat your data well, whether it's a CRM or a training dataset, Cause it matters If your data is messy, incomplete, or holding your business back, let's fix that. Send me a message, and I'll respond.

Imagine spending thousands of dollars training an AI model—only to realize the labels were flawed. That’s where I come in. I’m 𝐁𝐞𝐡𝐳𝐚𝐝 𝐀𝐥𝐢 𝐊𝐡𝐚𝐧 and Founder of 𝐒𝐖𝐀𝐓𝐀𝐢, a data annotation and AI development platform trusted by AI startups and enterprises worldwide. With 4+ years of experience and a team of 178+ skilled annotators, I’ve personally led projects that helped train over 100 production-grade AI models from medical image segmentation, agriculture dataset annotations, AI-based electric poles condition monitoring system to autonomous vehicle perception systems. 🌐𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗧𝗿𝘂𝘀𝘁 𝗠𝗲: 𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗟𝗲𝘃𝗲𝗹 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: I specialize in polygonal, pixel-wise and semantic segmentation with an obsessive attention to detail. 𝗔𝗜-𝗔𝘄𝗮𝗿𝗲 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻: Unlike generic labelers, I understand the AI pipeline. I don’t just label, I label for performance. Every dataset is annotated with model training, accuracy and edge-case handling in mind. 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗦𝗰𝗮𝗹𝗲 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Delivered $500,000+ worth of labeled data to top AI companies (like Moonvalley, SaharLabs etc) with proven systems for scalability, security and deadlines. 𝗖𝘂𝘀𝘁𝗼𝗺 𝗧𝗼𝗼𝗹𝘀, 𝗥𝗲𝗮𝗹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Worked across CVAT, Labelbox, SuperAnnotate, Roboflow and even client-specific proprietary tools. 🌐𝗦𝘁𝗼𝗿𝘆 𝗼𝗳 𝗚𝗿𝗼𝘄𝘁𝗵: What began as a solo freelancing gig on Fiverr has now become a global agency delivering AI-ready data for some of the most innovative companies on Earth. Now offering our services on Upwork as well. 🛠️𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗢𝗳𝗳𝗲𝗿: ✦ Image & Video Segmentation (polygon, semantic, instance-based) ✦ Bounding Box, Keypoint & Landmark Annotation ✦ Text & Audio Annotation (multilingual available) ✦ Dataset Cleaning, Structuring & Preprocessing ✦ Consultancy on AI Dataset Design and Labeling Strategies ✦ AI Model Training and development Image annotation, Bounding boxes, 3D boxes, Video annotation, instance and semantic, Object labeling/tagging,Segmentation, Polygons masks, Text annotation, Line annotation, Key Points annotation, Cuboids, Image classification and categorization.

I specialize in image annotation and data labeling for AI and machine learning projects, with hands-on experience using tools such as CVAT, Roboflow, and LabelImg. I am skilled in bounding boxes, polygons, segmentation, image classification, dataset review, and accurate annotation based on project guidelines. I focus on delivering high-quality, consistent, and detail-oriented annotations to help improve AI model performance and training datasets. I am comfortable working with repetitive and precision-based tasks while maintaining accuracy and efficiency throughout the project. I am reliable, responsive to feedback, and committed to clear communication and on-time delivery. I welcome test tasks, trial projects, and long-term opportunities where I can contribute dependable annotation support and quality results.

Electronics Engineer with more than 15 years of experience. Most part of my career I have been working for a highly respected Swiss company SENIS AG. Since one year ago I am working only as a freelancer. I mostly worked on process automation tasks using different kind of NI and non NI equipment, such as Data Acquisition devices, Motion controllers etc. I also have huge experience with instrumentation control using various communication protocols. One of the most complex projects I have worked on is a SENIS Mapper device, operating the linear and rotational stages using the motion controller, while synchronizing the analog input acquisition with the encoder feedback.

I’m a systems‑level engineer specializing in LabVIEW, NI ecosystem hardware, embedded IoT, and full‑stack web & mobile interfaces for test and data visualization. Core Expertise & Solutions NI Ecosystem & Test Automation: Expert-level development using LabVIEW (DQMH, Actor Framework) and TestStand. I build scalable ATE for production environments using PXI, cRIO, and DAQmx. High-Speed Hardware Integration: Advanced programming for FPGA and Real-Time targets. I handle complex DAQ (Data Acquisition), RF signal processing with USRP, and automated quality control using NI Vision. Embedded Systems Development: Custom firmware for ESP32, STM32, and Arduino platforms. I specialize in sensor integration, motor control, and industrial communication protocols. Modern Web & Mobile Apps: I transform raw engineering data into actionable insights. I build high-performance Web Apps using React and TypeScript, and cross-platform Mobile Apps with React Native, all backed by a scalable Firebase infrastructure.