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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.

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

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AI/ML Data Annotation Engineer | AI Quality Assurance | Computer Vision | Geospatial Data Analyst | Data Analyst | 5+ Years 𝙰𝚛𝚝𝚒𝚏𝚒𝚌𝚒𝚊𝚕 𝙸𝚗𝚝𝚎𝚕𝚕𝚒𝚐𝚎𝚗𝚌𝚎 𝚒𝚜 𝚘𝚗𝚕𝚢 𝚊𝚜 𝚐𝚘𝚘𝚍 𝚊𝚜 𝚝𝚑𝚎 𝚍𝚊𝚝𝚊 𝚋𝚎𝚑𝚒𝚗𝚍 𝚒𝚝—𝚊𝚗𝚍 𝚝𝚑𝚊𝚝'𝚜 𝚠𝚑𝚎𝚛𝚎 𝙸 𝚑𝚎𝚕𝚙. For over 5 years, I've helped companies build high-quality datasets for AI and Machine Learning through AI Data Annotation, Data Labeling, Quality Assurance, Data Validation, Computer Vision, Geospatial Data Analysis, and AI Evaluation. I've worked with Upwork Enterprise and enterprise organizations on projects requiring precision, consistency, and strict adherence to annotation guidelines. My experience spans computer vision, multimodal AI, geospatial intelligence, parking technology, speech recognition, and AI quality evaluation. Core Expertise ✔ AI Data Annotation & Data Labeling ✔ Image, Video & Audio Annotation ✔ Podcast & Timestamp Annotation ✔ Speech Recognition & Transcript Validation ✔ Text Annotation & NLP ✔ Content Classification & AI Evaluation ✔ Bounding Boxes, Polygons & Segmentation ✔ Object Detection & Image Classification ✔ Ground Truth Creation & Validation ✔ Dataset Review & Quality Assurance ✔ Data Validation & Research ✔ Large-Scale Dataset Organization Computer Vision & Geospatial Experienced with AI datasets involving: License Plate Recognition (LPR) Vehicle & Object Detection Parking Detection & Occupancy EV Charging Stations Camera Validation AI Video Review Geospatial Mapping Ground Truth Validation I also have extensive experience researching and validating parking ecosystems across the United States, Canada, and the United Kingdom, including public, private, and street parking, parking regulations, pricing, revenue control, access control, parking meters (single & double head), EV parking, and parcel ownership research using Regrid and Tableau. [Annotation Platforms] CVAT • Label Studio • Labelbox • Ango Hub • COCO Annotator • Klaar • Custom Enterprise Annotation Platforms {Tools & Technologies] Microsoft 365: Excel, Outlook, Teams, Word, PowerPoint, OneNote, SharePoint Google Workspace: Sheets, Docs, Drive AI Tools: ChatGPT, Claude, Microsoft Copilot Collaboration: Slack, Teams, Trello, WhatsApp Creative: Adobe Photoshop, Canva Why Clients Choose Me: ✔ 5+ years of AI & Data experience ✔ Upwork Enterprise experience ✔ Computer Vision & Geospatial expertise ✔ AI Video, Audio & Podcast Annotation ✔ Strong analytical thinking & attention to detail ✔ Excellent written English ✔ Reliable, organized & deadline-driven ✔ Human validation of AI-generated outputs ✔ Confidential handling of sensitive data I'm currently expanding my skills in Python, SQL, AI Automation, Prompt Engineering, and Machine Learning to further strengthen my expertise. If you're looking for an AI/ML Data Annotation Engineer, AI Evaluator, QA Reviewer, Computer Vision Specialist, Geospatial Data Analyst, or Data Analyst who delivers accurate, consistent, and high-quality results, I'd love to help make your AI project a success. 𝙸'𝚍 𝚋𝚎 𝚑𝚊𝚙𝚙𝚢 𝚝𝚘 𝚑𝚎𝚕𝚙 𝚋𝚛𝚒𝚗𝚐 𝚢𝚘𝚞𝚛 𝚙𝚛𝚘𝚓𝚎𝚌𝚝 𝚝𝚘 𝚕𝚒𝚏𝚎.

Hi, I’m Mohini Sultana. I’m skilled Data Annotator with 5+ years of experience in image/video labeling, AI data processing, Satellite Image Annotator, virtual assistance, and data entry. I’m reliable, deadline-driven, and ready to work across any time zone. I specialize in prioritizing tasks and solving problems efficiently to ensure high-quality results. Common Types of Annotations: * Bounding Boxes – Draw rectangles around objects. * Polygon Annotation – Outline the exact shape of objects. * Semantic Segmentation – Label every pixel in an image with a class (e.g., road, car, person). * Instance Segmentation – Like semantic, but distinguishes between object instances * Keypoint Annotation – Mark specific points (e.g., facial landmarks, human joints). * Classification – Assign a label to the whole image (e.g., “cat” or “dog”). * Object Counting – Count how many of a specific object are present. * Lane or Line Annotation – For road detection, lane marking. List of the tools that I learned and used: ✔️ CVAT ✔️ Roboflow ✔️ SuperAnnotate ✔️ Darwin V7 ✔️ Supervisely ✔️ Labelbox ✔️ Labelimg ✔️ Labelme ✔️Scale Pro ✔️Dataloop Ai ✔️QGIS ✔️ Canva ✔️ Filmora ✔️Photoshop ✔️Canva Skills: - Prepares a dataset for computer vision or machine learning and models. - AI Image annotation/Video Annotation - AI Data Processing - AI Annotation format converting - Image Masking - Image Segmentation - Categorization - Fact-Checking Annotation - Data entry - Virtual assistant - Data scraping While I am grateful for the opportunities afforded to me in my prior position, I am ready to embark on a new career path that offers new challenges for me to put my skills to use. #Data annotation #image Annotation #Data Labeling #Data Annotation Specialists #Annotation Specialists #Cvat #Superannotate #Image Segmentation #Video Annotation #Roboflow #Data Annotator I'm a very competitive person and a fast learner. Rest assured, I provide high-quality output, and also I can do tasks as fast and accurately as possible. Your project's success starts with the right data annotation, and I am here to provide just that.

I approach every task with a deep sense of passion, a quality that resonates in my performance. Over the course of 8 years, I have honed my skills in customer service and technical support, both verbal and written, establishing a solid foundation in these domains. Each assignment is not merely a task but an opportunity for personal and professional growth, serving as a stepping stone towards my overarching goals while contributing to the success of those around me. My adeptness at multitasking is complemented by a profound respect for deadlines, underscoring my commitment to punctuality and efficient task completion. With a proven track record of 8 years as a help desk technician and in various customer support roles, I possess a high level of tech-savviness. My expertise spans MS Office 365, Azure, Active Directory, VMs, O365 Administration, server management (file server, SQL, backup, Remote desktop, and domain controller), VPN, RDP, RDS, Citrix ShareFile, Dropbox, Cisco VPN, Barracuda, workstation setup, profile and account management, license administration, and more. My comprehensive understanding of computer systems, mobile devices, and various tech products empowers me to diagnose and resolve a spectrum of technical issues, from basic to complex. A customer-oriented and composed individual, I am adept at effective communication. My proficiency extends to the use of Solarwinds RMM, Bomgar, and TeamViewer. Additionally, I am well-acquainted with Datto RMM, PassPortal, and Autotask, having utilized these tools extensively in my previous role at an MSP company. I am well-prepared to assume new responsibilities promptly and am eager to discuss how I can meet your specific needs. Thank you for visiting my profile. I look forward to the opportunity to speak with you further.