Hire the Best Taxonomy Specialists

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Iqra A.

Bahawalpur, Pakistan

$7/hr
4.3
9 jobs

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

  • Data Annotation
  • Data Labeling
  • Image Annotation
  • Computer Vision
  • CVAT
  • Object Detection
  • Image Segmentation
  • Machine Learning
  • Video Annotation
  • Artificial Intelligence
  • LabelImg
  • Data Segmentation
  • Roboflow
  • Semantic Segmentation
  • SuperAnnotate
Ikrom Y.

Tashkent, Uzbekistan

$9/hr
5.0
15 jobs

Data Annotation Specialist | Image, Video & Audio Labeling I provide accurate, consistent data annotation for machine learning projects. You get clean, well-structured datasets ready for training and evaluation. I work with images, videos, and audio across different domains. I follow strict labeling guidelines and deliver on time. 🚀 Experience - I have supported projects that required: - Image annotation for object detection and classification - Video annotation with bounding boxes and tracking - Keypoint labeling for pose and object parts - OCR text transcription and region labeling - Audio transcription and tagging I understand how high-quality data improves model accuracy. 📌 Annotation Types - Bounding boxes - Polygons and segmentation masks - Keypoints and landmarks - Classification labels - Object tracking across frames - OCR text labeling Audio transcription and labeling ⚙️ Tools - CVAT - LabelImg - LabelMe - Roboflow - Supervisely - Custom annotation tools if needed 💡 How I Work - Follow your labeling guidelines carefully - Double-check annotations for consistency - Maintain naming and folder structure - Communicate clearly and respond fast - Deliver clean datasets ready for training You get reliable, scalable annotation support for your ML pipeline. Send your sample task or guidelines. I will start quickly and deliver fast.

  • Computer Vision
  • YOLO
  • CVAT
  • Image Annotation
  • Data Annotation
  • PyTorch
  • Machine Learning
  • Python
  • Image Processing
  • Data Labeling
  • OpenCV
  • Research & Development
  • OCR Software
  • Artificial Intelligence
  • Deep Learning
Anam J.

Cincinnati, Ohio

$16/hr
5.0
34 jobs

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.

  • Administrative Support
  • Virtual Assistance
  • Data Annotation
  • Image Annotation
  • Executive Support
  • List Building
  • Data Labeling
  • Data Collection
  • Data Entry
  • Copy & Paste
  • Lead Generation
  • File Management
  • Property Management
  • Labelbox
  • CVAT
Behzad K.

Islamabad, Pakistan

$7/hr
5.0
16 jobs

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.

  • Image Annotation
  • Image Segmentation
  • Data Collection
  • Data Entry
  • Data Labeling
  • Computer Vision Software
  • Data Annotation
  • Video Annotation
  • Roboflow
  • Automation
  • n8n
  • SuperAnnotate
  • AI Agent Development
  • CVAT
  • Computer Vision
  • LabelMe
  • Labelbox
  • LabelImg
  • AI Development
  • Claude
Precious E.

Lagos, Nigeria

$9/hr
4.8
43 jobs

I provide annotation services with precision and data consistency. Delivering labeled datasets at 98%+ accuracy. In building an AI system, the quality of your training data is everything and that is where I come in. I am an AI Data Annotator specialist in image, Video, audio and speech labeling with over 6 years of experience helping machine learning teams and AI companies get their training data right. I have worked across computer vision, speech recognition, generative AI, and multimodal systems, and I understand that bad annotation does not just slow down a project, it breaks the model. What I actually do goes beyond clicking and labeling. I help teams design labeling workflows, write annotation guidelines that make sense, set up QA systems, and coordinate annotation teams on large-scale projects. I have delivered everything from small pilot datasets to massive production-ready annotation operations and I know how to keep quality consistent. My specialty: 🔸 Audio & Speech Transcription & ASR labeling Speaker diarization Sound event tagging Accent and language diversity annotation 🔸 Computer Vision & Image Bounding boxes, polygons, segmentation Keypoints and object tracking Semantic & instance segmentation 🔸 Autonomous Vehicles Lane marking, drivable areas Traffic signs, LiDAR & video annotation 🔸 LLM Alignment RLHF & RLAIF Prompt and response evaluation 🔸 Healthcare AI Medical image labeling High-precision QA workflows 🔸 E-commerce Product categorization, attribute tagging Catalog normalization Tools I have worked with: Jira CVAT Roboflow LabelBox Label Studio VOTT V7 (Darwin) SuperAnnotate Supervisely Annotation Pro Google Sheet Microsoft 365 DataLoop and more If you need someone who understands both the technical and operational side of AI data labeling Let's talk. I am ready to add value from day one.

  • CVAT
  • Roboflow
  • Python
  • Labelbox
  • Computer Vision
  • RLHF
  • LLM Prompt
  • Sentiment Analysis
  • Data Labeling
  • Data Segmentation
  • Data Entry
  • Image Annotation
  • LabelMe
  • Data Analysis
  • Data Annotation
  • Text Classification
  • Object Detection & Tracking
  • Audio Transcription
  • Audio Recording
  • SQL
A.K.M Asiful S.

Dhaka, Bangladesh

$15/hr
4.8
176 jobs

5+ years doing data annotation and labeling on Upwork — bounding boxes, polygon and semantic segmentation, LiDAR point clouds, multi-camera video tracking. Worked across autonomous driving, agriculture, sports, and infrastructure datasets. Comfortable in CVAT, Label Studio, Roboflow, LabelImg. Over the past year I've built out automation to go with the annotation work — Python for cleaning and formatting datasets, n8n for cutting out repetitive manual steps. What started as fixing my own workflow has turned into automation work I now take on for clients directly. Need training data labeled right, or a pipeline with manual steps that should be automated? Let me know what you are working on.

  • Data Annotation
  • Data Labeling
  • Data Processing
  • Natural Language Processing
  • Data Segmentation
  • Sentiment Analysis
  • Machine Learning
  • Computer Vision

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What does a Taxonomy specialist do?

A taxonomy specialist builds and governs the classification systems that organize digital content for search and discovery. This role defines the controlled vocabularies and metadata structures that allow users to find information quickly within large datasets or content libraries. You establish clear relationships between concepts to create a logical hierarchy that reflects how your audience thinks about your subject matter. Your work turns unstructured data into a navigable asset by applying consistent labeling rules across all platforms.

  • Design concept schemes and hierarchical structures using standard models such as SKOS to define how terms relate to one another. You map broader and narrower concepts to create a coherent framework that supports accurate content tagging and retrieval. This structural foundation ensures that every piece of content fits into a specific category without ambiguity or overlap.
  • Develop and maintain controlled vocabularies by collecting terms from stakeholders and validating them against existing standards. You edit these lists to remove duplicates, resolve synonyms, and clarify definitions so that content creators apply tags consistently. This governance process prevents vocabulary drift and keeps the classification system aligned with organizational goals and user needs over time.
  • Publish exportable taxonomy assets in formats like RDF or OWL for integration with downstream systems and search engines. You document the governance rules and usage guidelines so that other teams understand how to apply the metadata correctly. This deliverable enables automated systems to read and interpret your classification structure without manual intervention or error.

How to hire a Taxonomy specialist on Upwork

Step 1: Post a job

Describe your classification needs in a few sentences and let Job Post Generator powered by Uma™, Upwork's Mindful AI draft a complete job post for the role. You can write a new post, update a saved draft, or reuse an existing post to start finding candidates who understand controlled vocabularies.

  • Specify whether you need a specialist to build a new concept scheme from scratch or govern an existing taxonomy using standards like SKOS.
  • List the specific tools you use, such as PoolParty, Protégé, or Synaptica, so candidates confirm they can work within your current technical environment.
  • Define the scope of metadata terms and classification rules the freelancer must author to align with your organizational content strategy.

Step 2: Evaluate candidates

Look for portfolios that show clear documentation of taxonomy structures and evidence of maintaining coherence across large sets of content. Uma can run instant video interviews and build shortlists with side-by-side comparisons to help you assess these specialized skills quickly.

  • Review examples of controlled vocabularies the candidate has developed to verify they define precise relationships among concepts and tags.
  • Check for deliverables exported in standard formats like RDF or OWL to confirm the freelancer produces assets compatible with downstream systems.
  • Examine case studies where the specialist mapped legacy terms to new schemes to ensure they handle complex data migration tasks effectively.

Step 3: Interview your top choices

Discuss how the candidate validates structure and consistency before releasing updates to your production environment. Interviews can be scheduled and conducted within Upwork Messages with an immediate transcript and summary after each one.

  • Ask how they elicit term requirements from stakeholders to confirm they translate business needs into accurate taxonomy models.
  • Request details on their process for iterating taxonomy updates in response to new content types or changing user search behaviors.
  • Verify their experience with py-semantic-taxonomy or similar tools to ensure they can automate maintenance tasks and publish assets efficiently.

Step 4: Agree on scope and begin work

Set clear milestones for delivering concept schemes and metadata rules while using Upwork Messages and the contract workroom for communication and project management. Identity verification, payment protection, hourly tracking, and project funds add security to every engagement.

  • Define the exact format for exportable taxonomy assets so the freelancer compiles files that integrate directly with your content management system.
  • Establish governance rules for adding new terms to prevent vocabulary drift and maintain classification quality over time.
  • Agree on a schedule for reviewing concept-to-concept mappings to ensure the taxonomy remains aligned with external data sources.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring a Taxonomy specialist cost?

Hiring a Taxonomy specialist typically costs $500-$2,500 per project, depending on scope and experience. Final pricing depends on the complexity of your classification system, the volume of terms to organize, required integrations with existing platforms, and the freelancer's expertise in standards like SKOS.

Vocabulary audit

$500-$1,000/project

Entry-level to mid-level
  • Review of existing tags and identification of inconsistencies
  • List of suggested merges, deletions, and new categories
  • Step-by-step guide for correcting current metadata errors

Controlled vocabulary design

$1,000-$2,500/project

Mid-level
  • Structured hierarchy of terms and definitions
  • Defined broader, narrower, and related term connections
  • Rules for applying tags consistently across content

SKOS implementation

$2,500-$4,500/project

Mid-level to senior-level
  • Machine-readable taxonomy in standard RDF format
  • Verification of structural integrity and logical consistency
  • Ready-to-import assets for downstream systems

Taxonomy integration

$4,500-$7,000/project

Senior-level
  • Connections between new taxonomy and legacy data sources
  • Code or configuration to sync terms with your platform
  • Confirmation that tags display correctly in live environments

Enterprise governance setup

$7,000-$12,000/project

Expert-level
  • Policies for adding, retiring, and managing terms over time
  • Process for reviewing and approving taxonomy changes
  • Documentation and guides for internal teams using the system

Frequently asked questions

Is hiring a Taxonomy specialist worth it?

For most businesses, yes: hiring a Taxonomy specialist is worthwhile. This role builds structured classification systems that make content searchable and consistent across platforms. Without this governance, users struggle to find information and data integration becomes error-prone.

How do I evaluate Taxonomy specialist candidates?

Review their experience with controlled vocabularies and specific tools like SKOS or PoolParty. Ask them to explain how they resolve ambiguous terms or map concepts between different systems to test their logical rigor.

What deliverables does a Taxonomy specialist produce?

A Taxonomy specialist authors controlled vocabularies and exports taxonomy assets in standard formats like SKOS for system integration. They also compile documentation that defines governance rules and term usage for your team.

Which tools do Taxonomy specialists use?

Taxonomy specialists configure models using Protégé, PoolParty, or Synaptica to manage concept schemes. They often publish these structures via py-semantic-taxonomy or similar libraries to align with RDF standards.