Hire the Best Google AutoML Professionals

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.

I build AI-assisted automation that takes manual work off your team: messy CRM data, leads lost between forms and spreadsheets, and the tool-to-tool copy-paste nobody wants to do. I add AI where it helps, without turning the process into a black box you can't predict. My focus is AI agents, n8n, Make, Google Workspace automation, CRM automation, API integrations, and RAG/document Q&A systems. In Google Workspace, I usually work with Sheets-based operations: row filtering, data cleanup, structured AI output, timestamps, logs, and handoffs to CRM or Slack. Connecting apps is the easy part. Before building, I map the process, clarify the trigger, define the source of truth, check where the data should move, and agree on clear success criteria. I can help with: - AI agents for research, classification, summaries, document analysis, and task routing - n8n and Make workflow automation - Google Workspace automation, especially Google Sheets workflows, structured row updates, logs, and review steps - CRM automation, lead routing, lead qualification, and data sync - Pipedrive, ActiveCampaign, Intercom, Slack, Notion, and Google Workspace workflows - RAG / document Q&A systems with Supabase, PostgreSQL, vector search, and SQL lookup - API integrations, webhooks, structured JSON outputs, and backend automation - Automation audits and rescue work for workflows that fail without a clear reason Selected portfolio examples: - Built a Typeform qualification workflow connected to Pipedrive, ActiveCampaign, and Google Sheets, with email/phone matching, CRM updates, lead segmentation, tags, list-status updates, and multiple Google Sheets log paths. The sample build runs on 111 Make modules. - Built a ClickFunnels opt-in workflow connected to Pipedrive, ActiveCampaign, and Google Sheets. It checks existing CRM records, routes new and existing leads through different paths, updates tags and list status, and keeps an audit log. The sample build runs on 39 Make modules. - Built an n8n RAG document Q&A workflow with Supabase, PostgreSQL, OpenAI embeddings, vector search, and exact SQL lookup. The sample build uses 2 n8n workflows and 13 nodes. - Built an Intercom Fin AI support flow with Help Center content and Pipedrive handoff logic, so support conversations move into CRM follow-up without losing context. - Built a Google Workspace / Google Sheets AI workflow where n8n filters rows with empty fields, generates structured JSON with an LLM, and writes the result back to the right row with text, category, and timestamp. For AI workflows, I focus on clear inputs, structured outputs, fallback behavior, logging, and human review wherever the result touches a customer, a CRM record, a contract, or a business decision. For automation projects, I usually check: - What starts the workflow - Which system is the source of truth - Which fields must be created, updated, or matched - How duplicates should be handled - What should happen when an API call fails - Where logs, alerts, or human review should happen These workflows take over repetitive work like manual CRM updates, lead tagging, spreadsheet logging, document lookup, and tool-to-tool copy-paste. For real client projects, I measure time saved only after I see the actual volume, because honest numbers depend on how many leads, rows, tickets, documents, or tasks the workflow handles each week. If your current automation is unstable, I can start with an audit before rebuilding it. I usually check triggers, filters, field mapping, duplicate handling, webhook payloads, API responses, failed runs, missing data, and unclear ownership between tools. To start, send me the manual process you want to automate, the tools you currently use, and the result you expect: an AI agent action, a CRM update, a Google Workspace or spreadsheet update, a support handoff, a document answer, a Slack message, or a human review step.

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

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.

I’m Liaquat Ali, and I help AI teams and business owners save time, improve accuracy, and scale operations by providing high-quality data annotation and image labeling for computer vision projects, along with dependable general virtual assistant and executive virtual assistant support for daily operations. 🔹 Data Annotation, Image Labeling & Computer Vision I provide accurate and consistent data annotation, image labeling, and computer vision support for AI and machine learning projects. I follow detailed guidelines and deliver clean, well-structured datasets that improve model performance and training accuracy. I can help with: ✅ Data annotation for computer vision projects ✅ Image labeling (bounding boxes, polygons, keypoints, polylines) ✅ Image & video annotation ✅ Data tagging, classification, and dataset preparation ✅ Following annotation guidelines with high accuracy ✅ Preparing outputs in required formats (YOLO, COCO, Pascal VOC, CSV, or client formats) 🔹 General Virtual Assistant & Executive Virtual Assistant Support Alongside AI work, I work as a General Virtual Assistant and Executive Virtual Assistant, supporting businesses with daily operations, admin tasks, and data handling so nothing falls through the cracks. Virtual Assistant services include: ✅ CRM data entry & management ✅ Shopify product upload, updates & inventory management ✅ Excel & Google Sheets data entry, cleaning & formatting ✅ Web research & lead research ✅ File management & document organization ✅ Email support, task coordination & admin support ✅ Managing comments & DMs for Meta ads (Facebook & Instagram) 🧠 Tools & Work Style *Google Sheets, Excel, CRM systems *Shopify product management *Annotation tools (Label Studio, CVAT, VIA, LabelImg – as required by client) *Clear communication, fast response, and strict data confidentiality *Detail-oriented, consistent, and deadline-focused delivery ⭐ Why Clients Choose Me ✔️ Strong attention to detail for data annotation & image labeling ✔️ Reliable General Virtual Assistant & Executive Virtual Assistant support ✔️ Clean, accurate datasets for computer vision projects ✔️ Fast communication & on-time delivery ✔️ Flexible with long-term and short-term tasks If you’re looking for someone who can handle data annotation, image labeling, computer vision tasks, and also support your business as a general virtual assistant or executive virtual assistant, I’m ready to help. 📩 Send me your project details and let’s get started.

𝐓𝐢𝐫𝐞𝐝 𝐨𝐟 𝐖𝐫𝐨𝐧𝐠 𝐋𝐚𝐛𝐞𝐥𝐬, 𝐌𝐞𝐬𝐬𝐲 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 & 𝐏𝐢𝐥𝐢𝐧𝐠 𝐀𝐝𝐦𝐢𝐧 𝐖𝐨𝐫𝐤? 👋 Hey, I'm Shams, a passionate AI Data Annotation Specialist with 10+ years of experience delivering pixel-perfect image & video annotation, clean segmentation data, and reliable VA support for AI/ML teams, startups, enterprise clients, and busy founders - helping them reclaim 30–40+ hours every week. I specialize in AI data labeling and annotation, including image and video annotation, semantic and instance segmentation, and dataset preparation for computer vision projects. I take care of the repetitive, detail-intensive work so you can focus on building better AI models and growing your business. 🚀 🧩 My Core Services (Data Annotation & Image Labeling) 🔹 AI Data Annotation & Labeling ✔️ Image & Video: • Bounding Boxes · Polygon · Polyline · Cuboid · Ellipse · Brush • Semantic Segmentation · Instance Segmentation · Image Masking • Keypoint Annotation · Object Detection · Object Counting • Lane & Line Annotation · Satellite Image Annotation • Image Tagging & Classification ✔️Audio & Text: • Audio Segmentation · Timestamping · Speaker Labeling · Audio Cleaning • Named Entity Recognition (NER) · Text Classification • Sentiment Analysis · Search Relevance · Data & Content Moderation ✔️ Bat Call Analysis & Annotation via Spectrograms ✔️ LiDAR Annotation · 3D Cuboid Annotation · Point Cloud Labeling ✔️ COCO · YOLO · Pascal VOC · CSV 👉 Your model doesn't get smarter with dirty data. Mine never sees any. 🔹 AI & Manual Transcription • Audio & video transcription • Course & lecture transcription • SRT subtitles & closed captions • Speaker diarization & labeling • Verbatim & clean-read transcripts • Timestamps on request 👉 Every word captured. Every speaker identified. Every timestamp exact. 🔹Data Entry & Data Management • Manual & bulk data entry • PDF → Excel · Image → Excel • Data cleaning · Validation · Deduplication • Excel & Google Sheets - formulas, pivot tables, VLOOKUP 👉 Every entry verified, every detail checked · 65+ WPM · 95%+ accuracy. 🔹 General Virtual Assistant & Admin Support • Email & calendar management • File organization & document prep • Customer support & SOP creation • Research, scheduling & daily admin 👉 The behind-the-scenes work that quietly keeps everything running - handled. 🔹 Lead Generation & Web Research •LinkedIn & Sales Navigator prospecting • Email list building & contact enrichment • Geo-targeted & ICP-based lead lists • Company & contact data collection 👉 You get 𝐜𝐥𝐞𝐚𝐧, 𝐯𝐞𝐫𝐢𝐟𝐢𝐞𝐝 𝐝𝐚𝐭𝐚 𝐫𝐞𝐚𝐝𝐲 𝐟𝐨𝐫 𝐨𝐮𝐭𝐫𝐞𝐚𝐜𝐡 - 5,000+ verified leads built. 🔹 CRM Management • HubSpot · Zoho · Salesforce · GoHighLevel · Podio • Contact segmentation · Deduplication · Tagging • Pipeline cleanup · Lead tracking · Reporting 👉 Your records stay clean. Your pipeline stays accurate. 🛠️ My Full Toolkit ✔️ Annotation: CVAT · Roboflow · Labelbox · Label Studio · SuperAnnotate · Supervisely · Darwin V7 · Labelme · Dataloop AI · Scale Pro · Datasaur · VGG Image Annotator ✔️ VA & Admin: Google Workspace · Microsoft Office · Notion · Slack · Asana · ClickUp · Airtable · Canva · ChatGPT ✔️ CRM & Outreach HubSpot · Zoho · GoHighLevel · Podio · LinkedIn Sales Navigator · ApolloDataExcel · Google Sheets · Airtable ✔️ Transcription: Sonix · Turbo Scribe · Scribie · Google Colaboratory 💯 Why Clients Trust Me ✅ CEAP Certified · Certified Data Annotation Specialist ✅ 16,600+ video frames annotated ✅ 13,000+ bio-acoustic recordings labeled ✅ 5,000+ verified leads built · 95%+ data accuracy · 65+ WPM ✅ Detail-oriented, deadline-focused, and proactive in communication ✅ Native-level English - clear communication across US, UK, AU, EU time zones ✅ No follow-ups needed - delivered on time, every time 🤝 I Work Best With 🤖 AI/ML teams - needing clean annotation data at scale 🦇 Wildlife & bio-acoustic researchers - spectrogram annotation 🏢 Businesses - drowning in admin, data entry, or CRM chaos 📣 Marketing teams - building targeted, verified lead lists 🎓 Researchers & educators - needing accurate transcription 🚀 Founders & startups - who need a reliable right hand 📩 Let's Talk If ✔ You need accurate image annotation, video annotation, or segmentation - 10 files or 100,000 ✔ You need precise audio or video transcription with speaker labels and timestamps ✔ You need reliable VA or data entry support - 5 to 30 hrs/week ✔ You want audit-ready, clean work delivered the first time ✔ You're done chasing freelancers who overpromise and underdeliver 📬 Send me a message with your project details. I'll respond within 4 hours with a clear plan, honest timeline, and exact next steps. With respect, Shams Ul H. ✨