AI data labeling tools (Labelbox, Scale AI, SuperAnnotate, V7, Encord) provide annotation interfaces and labeling workforces for ML training data. The category serves traditional CV/NLP ML workflows; LLM fine-tuning needs different tools. Editor's pick Read our hand-curated buyer's guide: Best AI Data Labeling Tools → In-depth analysis with named leaders, real pricing, and decision framework. The ranked list below shows the top 10 of the 18 tools we evaluated in this category. ## Top 3 AI data labeling tools 1. [SuperAnnotate](https://toolradar.com/tools/superannotate) #1 Top pick Bringing human intelligence to AI through expert data annotation and model evaluation.PricingContact sales4.5 /5 across Trustpilot and G2 · 414 ratings, Sep 2026Our takeBest overall[Read the review](https://toolradar.com/tools/superannotate) 2. [Surge](https://toolradar.com/tools/surge) #2 High-quality training data for AI and ML modelsStarting priceFrom $30 /moCheapest paid plan, monthly, as of November 20264.1 /5 across Trustpilot and G2 · 348 ratings, Aug 2026Our takeBest free tier[Read the review](https://toolradar.com/tools/surge) 3. [Kili](https://toolradar.com/tools/kili) #3 The most robust annotation tool for building powerful AI with high-quality, trustworthy datasets.PricingFree plan4.7 /5 across G2 and Capterra · 54 ratings, Sep 2026[Read the review](https://toolradar.com/tools/kili) ## 10 top AI data labeling tools compared | Tool | Our take | Starting price (Nov 2026) | Rating | Watch out for | | --- | --- | --- | --- | --- | | [SuperAnnotate](https://toolradar.com/tools/superannotate) | Best overall | Price: Contact sales | 4.5 out of 5, from 414 ratings across Trustpilot and G2 G2 4.8 · Trustpilot 3.9 | Watch out: Potential overage fees for compute hours | | [Surge](https://toolradar.com/tools/surge) | Best free tier | Price: $30/mo | 4.1 out of 5, from 348 ratings across Trustpilot and G2 Trustpilot 3.8 · G2 4.4 | n/a | | [Kili](https://toolradar.com/tools/kili) | | Price: Free + paid | 4.7 out of 5, from 54 ratings across G2 and Capterra G2 4.7 · Capterra 5.0 | n/a | | [CVAT](https://toolradar.com/tools/cvat) | Most affordable | Price: $23/mo | 4.5 out of 5, from 54 ratings on G2 G2 4.5 | Watch out: Enterprise tier starts at $12,000/year | | [Labelbox](https://toolradar.com/tools/labelbox) | | Price: Free + paid | 4.5 out of 5, from 48 ratings on G2 G2 4.5 | n/a | | [BasicAI](https://toolradar.com/tools/basicai) | | Price: Usage-based | 4.4 out of 5, from 36 ratings on G2 G2 4.4 | Watch out: Scalability costs for additional seats/storage | | [Labellerr](https://toolradar.com/tools/labellerr) | Highest rated | Price: $833.25/mo | 4.8 out of 5, from 21 ratings on G2 G2 4.8 | n/a | | [DagsHub](https://toolradar.com/tools/dagshub) | | Price: $119/mo | 4.8 out of 5, from 14 ratings on G2 G2 4.8 | Watch out: Storage limits (20GB Individual, 1TB Team) | | [Encord](https://toolradar.com/tools/encord) | | Price: Contact sales | 2.2 out of 5, from 234 ratings on G2 G2 4.8 | n/a | | [Hyta](https://toolradar.com/tools/hyta) | | Price: Contact sales | 4.6 out of 5, from 12 ratings on G2 G2 4.6 | n/a | ## AI Data Labeling pricing compared | Tool | Cheapest paid plan | Free plan | Billing basis | | --- | --- | --- | --- | | [SuperAnnotate](https://toolradar.com/tools/superannotate) | Cheapest paid plan: Not published | Free plan: No | Billing: Not published | | [Surge](https://toolradar.com/tools/surge) | Cheapest paid plan: Pro, $30/mo | Free plan: Yes | Billing: Billed monthly | | [Kili](https://toolradar.com/tools/kili) | Cheapest paid plan: Not published | Free plan: Yes | Billing: Not published | | [CVAT](https://toolradar.com/tools/cvat) | Cheapest paid plan: Solo Yearly, $23/mo | Free plan: Yes | Billing: Billed monthly | | [Labelbox](https://toolradar.com/tools/labelbox) | Cheapest paid plan: Not published | Free plan: Yes | Billing: Not published | | [BasicAI](https://toolradar.com/tools/basicai) | Cheapest paid plan: Not published | Free plan: No | Billing: Not published | | [Labellerr](https://toolradar.com/tools/labellerr) | Cheapest paid plan: Pro Plan, $833.25/mo (billed yearly) | Free plan: Yes (Researcher Plan) | Billing: Billed yearly | | [DagsHub](https://toolradar.com/tools/dagshub) | Cheapest paid plan: Team, $119/mo | Free plan: Yes (Individual) | Billing: Per user, billed monthly | | [Encord](https://toolradar.com/tools/encord) | Cheapest paid plan: Not published | Free plan: No | Billing: Not published | | [Hyta](https://toolradar.com/tools/hyta) | Cheapest paid plan: Not published | Free plan: No | Billing: Not published | Toolradar pricing data, last verified November 2026. Prices are the cheapest paid plan converted to a monthly figure; "Not published" means the vendor publishes no price for a self-serve paid plan. 4 of 10 tools publish a paid price; median cheapest paid plan $74.50/mo. Toolradar data ## The AI data labeling tools market in numbers **Toolradar data:** Toolradar tracks 18 AI data labeling tools as of November 2, 2026. 50% of the AI data labeling tools on Toolradar are free, freemium or open source. Toolradar re-checked the pricing of 78% of AI data labeling tools in the last 90 days. Toolradar aggregates 1,252 public user reviews (G2, Capterra, Trustpilot and other review sites) across 13 rated AI data labeling tools. The most cross-shopped AI data labeling tool is Labelbox, listed as an alternative to 12 other tools on Toolradar. The most compared AI data labeling tool on Toolradar over the last 90 days is Label Studio, with 117 side-by-side comparisons. Computed from the Toolradar catalog and on-site activity. - 18 AI data labeling tools tracked - 50% are free, freemium or open source - 78% of prices re-checked in the last 90 days - 1,252 public user reviews aggregated across 13 rated tools | Rank | Tool | Listed as an alternative to | | --- | --- | --- | | 1 | [Labelbox](https://toolradar.com/tools/labelbox) | 12 tools | | 2 | [SuperAnnotate](https://toolradar.com/tools/superannotate) | 8 tools | | 3 | [Label Studio](https://toolradar.com/tools/label-studio) | 7 tools | | Rank | Tool | Comparisons | | --- | --- | --- | | 1 | [Label Studio](https://toolradar.com/tools/label-studio) | 117 | | 2 | [Labelbox](https://toolradar.com/tools/labelbox) | 107 | | 3 | [Surge](https://toolradar.com/tools/surge) | 80 | Source and method: [live AI data labeling tools statistics](https://toolradar.com/statistics/ai-data-labeling) ## How the top AI data labeling tools compare 6 of the 10 AI data labeling tools listed here have a free plan (Surge, Kili, CVAT, Labelbox, Labellerr, DagsHub); the other 4 (SuperAnnotate, BasicAI, Encord, Hyta) are paid only. Teams on a budget should start with Surge, our free pick. Rankings are computed from G2/Capterra review volume and rating, and media mentions. [Editorial policy](https://toolradar.com/editorial-policy) ## Top AI data labeling tools Order: Toolradar ranking score, which is the public review volume times the average rating on G2, Capterra, Trustpilot and other review sites, plus media mentions (recent ones count more). Paid placements are labelled and never change the score. [How we rank](https://toolradar.com/how-we-rate). ### SuperAnnotate Paid Bringing human intelligence to AI through expert data annotation and model evaluation. 4.5 /5 across Trustpilot and G2 · 414 ratings, Sep 2026 SuperAnnotate is a comprehensive platform that provides human data to build, train, and evaluate leading AI models. It offers a global network of vetted experts and advanced technology to deliver high-quality AI data for diverse use cases, including RLHF (Reinforcement Learning from Human Feedback), SFT (Supervised Fine-Tuning), agent evaluation, and RAG (Retrieval Augmented Generation) system performance. The platform is designed to streamline data annotation and model evaluation workflows, ensuring consistent accuracy, quality, and compliance. SuperAnnotate caters to enterprises and foundation model companies, helping them overcome challenges in scaling data annotation, maintaining quality at scale, and managing complex multimodal workflows. It provides flexible and scalable solutions with robust security features, customizable interfaces, and model-in-the-loop capabilities to accelerate AI development and deployment. The platform aims to empower AI teams to build better, more responsible, and state-of-the-art models by integrating human expertise with advanced technology. [View details](https://toolradar.com/tools/superannotate) [Visit website](https://www.superannotate.com) Thanks, your review is with our moderators.Used SuperAnnotate? Rate it - Pro: High-quality data and attention to detail - Pro: Streamlined data processing and training dataset creation - Pro: Significant reduction in annotation cycle time - Con: No explicit mention of a free trial or free tier - Con: Pricing details are not publicly available Fair value SuperAnnotate's pricing structure, with 'Request demo' and 'Contact sales' for Pro and Enterprise, suggests it's likely on the more expensive side, typical for specialized AI data annotation platforms. Watch out Potential overage fees for compute hours ### Surge Free plan High-quality training data for AI and ML models 4.1 /5 across Trustpilot and G2 · 348 ratings, Aug 2026 Surge AI is a data labeling and human evaluation platform that provides high-quality training data for AI and machine learning models. The platform connects AI companies with a rigorously vetted workforce of annotators who handle tasks like RLHF (reinforcement learning from human feedback), text annotation, code review, image labeling, and model evaluation. Surge serves major AI labs including OpenAI, Google, Anthropic, Microsoft, and Meta, offering both a web interface and Python SDK for project management. The company also publishes research benchmarks like Hemingway-bench for evaluating AI writing quality and EnterpriseBench for testing AI agents. [View details](https://toolradar.com/tools/surge) [Visit website](https://surge.sh) Thanks, your review is with our moderators.Used Surge? Rate it - Pro: Trusted by top AI labs including OpenAI, Google, and Anthropic - Pro: Rigorously vetted annotators with domain expertise - Pro: Flat per-label pricing with no hidden setup fees - Con: Not designed for small-scale or individual projects - Con: No self-service signup for annotation services Fair value The lack of transparent pricing means potential users cannot easily compare costs against competitors. ### Kili Free plan The most robust annotation tool for building powerful AI with high-quality, trustworthy datasets. 4.7 /5 across G2 and Capterra · 54 ratings, Sep 2026 Kili Technology is a comprehensive data platform designed to streamline the labeling, quality review, and iteration processes for AI/ML models. It enables organizations to build and scale high-quality training data up to 10x faster, supporting everything from small Proof of Concepts (POCs) to large-scale data production. The platform caters to a wide range of users, from data scientists in small teams to large enterprises coordinating subject matter experts, business stakeholders, and distributed annotators. The platform offers a complete toolset for annotating various data types, including geospatial imagery, OCR & document layout analysis, natural language processing, image annotation, video annotation, and LLM & RAG evaluation. It provides robust features for workflow configuration, real-time quality control, and seamless collaboration across distributed teams, ensuring consistent quality and efficient execution. Kili also emphasizes enterprise-grade security, offering deployment options on-premise, in the cloud, or via their secure infrastructure, with certifications like SOC2 Type II, ISO 27001, and HIPAA. [View details](https://toolradar.com/tools/kili) [Visit website](https://kili-technology.com) Thanks, your review is with our moderators.Used Kili? Rate it - Pro: Accelerates data labeling and iteration cycles significantly - Pro: Supports a wide range of complex data types and specialized formats - Pro: Provides robust collaboration and quality control features for large teams - Con: No specific cons mentioned in the provided text. Fair value The 'Grow' and 'Enterprise' tiers, both custom, suggest a potentially expensive solution tailored for larger organizations. ### CVAT Free plan The industry-leading open data annotation platform for machine learning. 4.5 /5 on G2 · 54 ratings, Oct 2026 CVAT is an open-source data annotation platform designed for machine learning applications, supporting images, videos, and 3D data. It provides a comprehensive suite of annotation tools, including bounding boxes, polygons, points, skeletons, cuboids, and trajectories, to accurately label datasets for computer vision models. The platform integrates AI-powered auto-annotation capabilities and algorithmic assistance, such as intelligent scissors and histogram equalization, to significantly speed up the annotation process. CVAT caters to solo labelers, small teams, and large enterprises, offering flexible deployment options including cloud-based online services and self-hosted enterprise solutions. It features robust data management with cloud storage integration (AWS S3, Google Cloud Storage, Azure Blob Storage), API access for workflow automation, and advanced quality control mechanisms like manual review, ground truth jobs, and honey pots. For enterprise users, CVAT provides enhanced security features like SSO, role-based access controls, and audit logs, along with dedicated support and customization options, making it suitable for organizations prioritizing security, compliance, and control over their data. [View details](https://toolradar.com/tools/cvat) [Visit website](https://cvat.ai) Thanks, your review is with our moderators.Used CVAT? Rate it - Pro: Accelerates data annotation up to 10x with AI tools. - Pro: Supports a wide range of data types (images, videos, 3D) and annotation tools. - Pro: Offers flexible deployment options including free community version, online plans, and self-hosted enterprise solutions. - Con: Free plan has significant limitations on project, task, and storage capacity. - Con: Enterprise features like advanced security and customization come at a high annual cost. Good value CVAT's pricing is fair, offering a generous Free tier for individuals and a clear progression for teams. Watch out Enterprise tier starts at $12,000/year ### Labelbox Free plan The data factory for AI teams building at the frontier, from reinforcement learning to custom evaluations. 4.5 /5 on G2 · 48 ratings, Sep 2026 Labelbox is a modern data factory designed for AI teams to build and scale their AI models. It provides the infrastructure and capabilities necessary for advanced AI development, including data for reinforcement learning, custom evaluations, and robotics data. The platform supports various complex AI tasks, such as multimodal data processing, long-horizon tasks, scientific coding, and industry workflows. The product offers specialized features like Knowledge Work Rubrics for expert-crafted scoring criteria across various domains, Tuned Environments for optimal reward gradients, and Private AGI Benchmarks for assessing frontier capabilities. It also provides tools for robotics data, including full-stack data collection, purpose-built hardware, and an AI-powered diversity engine. Labelbox is trusted by leading AI labs and companies of all sizes, fueling advancements in academic research and practical AI applications. Labelbox also provides access to Alignerr, an expert network of over 1 million knowledge workers across 40+ countries and 200+ domains, including PhDs and licensed professionals, to provide high-quality human intelligence for model training and evaluation. The platform allows users to take interactive product tours to learn how it accelerates data labeling projects and improves human supervision, with options for self-guided tours or live demos. [View details](https://toolradar.com/tools/labelbox) [Visit website](https://labelbox.com) Thanks, your review is with our moderators.Used Labelbox? Rate it - Pro: Enterprise data labeling - Pro: Good workflow - Pro: Automation features - Con: Expensive - Con: Enterprise focus Good value Labelbox's pricing structure is fair, offering a generous Free tier for individuals or small teams to get started. ### BasicAI Paid Accelerate AI development with high-quality data annotation services and a powerful labeling platform. 4.4 /5 on G2 · 36 ratings, Sep 2026 BasicAI provides an all-in-one smart data annotation platform and well-managed data annotation services designed to create high-quality training data for AI models. It helps transform raw data into precise ground truth datasets, enhancing machine learning performance across various applications and industries. The platform offers a wide range of annotation tools for different data types, including 3D LiDAR, images, audio/video, and natural language processing. It emphasizes efficiency through AI-assisted tools, scalable workflows, and smart quality checks. For organizations requiring direct control and enhanced security, BasicAI offers private deployment options for its platform, ensuring sensitive data remains within the client's infrastructure. Additionally, BasicAI provides managed data labeling services with specialist teams, ensuring industry-specific knowledge and high accuracy for complex projects. [View details](https://toolradar.com/tools/basicai) [Visit website](https://www.basic.ai) Thanks, your review is with our moderators.Used BasicAI? Rate it - Pro: Offers both a comprehensive platform and managed services for flexibility. - Pro: High quality assurance with multi-level inspections (99%+ quality). - Pro: Specialist global annotation teams with industry-specific knowledge, not crowdsourcing. - Con: Pricing is not transparent and requires direct contact for a quote. - Con: No free tier or public trial mentioned for the platform. Good value BasicAI's Private-Cloud Deployment at $6,600/year ($550/month) is on the higher end, but potentially fair for large enterprises requiring extensive customization and on-premise solutions. Watch out Scalability costs for additional seats/storage ### Labellerr Free plan Accelerate AI model development with high-quality, automated data labeling and annotation for various data types. 4.8 /5 on G2 · 21 ratings, Sep 2026 Labellerr is a comprehensive data labeling and image annotation software designed to help AI teams prepare high-quality datasets efficiently. It leverages automated annotation, advanced analytics, and smart QA to process millions of images and thousands of hours of video in weeks, significantly reducing the time and cost associated with data preparation for AI models. The platform supports a wide range of data types including images, videos, PDFs, text, and audio, and integrates seamlessly with cloud services like AWS, GCP, and Azure. Labellerr offers features such as prompt-based labeling, model-assisted labeling, active learning, and robust project management with advanced analytics, ensuring 99% accurate labels and a 90% reduction in data preparation time. It also provides enterprise-grade security, MLOps integration, and flexible export formats to streamline the entire AI development pipeline. [View details](https://toolradar.com/tools/labellerr) [Visit website](https://www.labellerr.com) Thanks, your review is with our moderators.Used Labellerr? Rate it - Pro: Significantly reduces time and cost for data preparation and AI model development. - Pro: Achieves high accuracy (99%) in data labeling. - Pro: Supports a broad range of data types and annotation techniques. - Con: Specific details on the extent of customization for custom export formats are not explicitly detailed. - Con: The free plan has limitations on data credits and seats, suitable mainly for researchers or small projects. Good value The Researcher Plan is very generous, offering substantial features for free, making it highly accessible for individual users. ### DagsHub Free plan Manage your entire AI lifecycle, from data to deployment 4.8 /5 on G2 · 14 ratings, Jun 2026 DagsHub provides a comprehensive platform for managing the entire AI lifecycle, from data curation and annotation to experiment tracking and model deployment. It is designed for AI teams and individuals working with multimodal datasets, including vision, audio, and large language model (LLM) data. The platform enables users to transform raw data into high-quality datasets, ensuring better performance for AI models. Key functionalities include robust data versioning and lineage, an annotations workspace with AI-powered human-in-the-loop workflows, and interactive pipelines. It integrates seamlessly with existing ML stacks and open-source tools like MLflow, allowing for efficient experiment tracking, comparison of results, and model version management. DagsHub supports collaborative data science, making it easier for teams to share data and models, and offers deployment options ranging from cloud hosting to on-premise installations for high-scale enterprise workloads. [View details](https://toolradar.com/tools/dagshub) [Visit website](https://dagshub.com) [DagsHub alternatives →](https://toolradar.com/alternatives/dagshub) Thanks, your review is with our moderators.Used DagsHub? Rate it - Pro: Comprehensive platform covering the full AI lifecycle. - Pro: Strong support for multimodal data, including vision, audio, and LLM. - Pro: Seamless integration with popular ML tools like MLflow. - Con: The free tier has limitations on private repository collaborators and tracked experiments. - Con: Advanced features like petabyte-scale data management are exclusive to enterprise plans. Good value DagsHub offers a very generous free 'Individual' tier, making it highly accessible for personal projects and non-commercial use. Watch out Storage limits (20GB Individual, 1TB Team) ### Encord Paid Manage, curate, and annotate multimodal AI data to accelerate AI model development and deployment. 2.2 /5 on G2 · 234 ratings, Aug 2026 Encord is a unified data development platform designed for managing, curating, and annotating petabytes of unstructured multimodal data to create high-quality datasets for training, fine-tuning, and aligning AI models. It provides a scalable solution for AI teams to transform raw data into production-ready assets, supporting various data types including images, videos, audio, documents, and 3D data. The platform integrates data indexing, curation, and advanced annotation tools, including AI-assisted labeling and human-in-the-loop workflows. It also offers robust model evaluation capabilities to validate AI models against data, identify performance issues, and prioritize valuable data for further training. Encord aims to accelerate the deployment of production AI applications by providing a secure, enterprise-grade environment with integrations for cloud storage and MLOps tools, ensuring data lineage traceability and compliance with security standards like SOC2, HIPAA, and GDPR. [View details](https://toolradar.com/tools/encord) [Visit website](https://encord.com) Thanks, your review is with our moderators.Used Encord? Rate it - Pro: Significantly improves annotation accuracy and model performance. - Pro: Reduces data management complexity and labeling costs. - Pro: Scalable platform for petabytes of multimodal data. - Con: Enterprise features require contacting sales for pricing. - Con: Some advanced data types and support options are add-ons. Fair value The absence of explicit pricing for the initial tiers suggests a potentially high entry cost or a sales-led approach, which can be a barrier for smaller teams. 10 ### Hyta Paid Scale data contributions and compound frontier AI capabilities with trusted human intelligence. 4.6 /5 on G2 · 12 ratings, Oct 2026 Hyta is a talent operations platform for AI post-training teams. It manages and automates the workflow of collecting, routing, and tracking human feedback signals used to fine-tune and evaluate AI models. Teams use Hyta to orchestrate continuous pipelines connecting human annotators, ML engineers, and reinforcement learning specialists, centralizing contributor verification, feedback routing, and quality tracking. Designed for organizations scaling post-training operations across multiple models. [View details](https://toolradar.com/tools/hyta) [Visit website](https://hyta.ai) Thanks, your review is with our moderators.Used Hyta? Rate it - Pro: Purpose-built for AI post-training, not a generic annotation tool - Pro: Centralizes contributor management across RL, MLE, and data teams - Pro: Compounds improvements by routing feedback across multiple models - Con: Niche tool limited to organizations with active AI training operations - Con: Pricing not publicly available, likely enterprise-focused ## Why other AI data labeling tools didn't make our top 10 We evaluated 18 tools in this category and these 8 ranked 11 through 18. They're solid options that fell short on one or two axes (review depth, pricing transparency, feature parity), but worth a look if the leaders don't fit your stack or budget. [SuperviselyCurate, label, and build production computer vision models in one comprehensive platform.](https://toolradar.com/tools/supervisely)[Label StudioThe most flexible open-source data labeling platform for AI models and LLM fine-tuning.](https://toolradar.com/tools/label-studio)[AfterQueryCurated data for frontier foundation models](https://toolradar.com/tools/afterquery)[Humans in the LoopA free Slack community for AI-powered coding and agentic AI development.](https://toolradar.com/tools/humans-in-the-loop)[Gretel.aiAccelerate agentic AI development with high-quality, domain-specific synthetic data.](https://toolradar.com/tools/gretel-ai)[Surge AIEmpowering AGI with rich, human-quality data and expert-driven training.](https://toolradar.com/tools/surge-ai)[RerunData layer for physical AI: visualize, query, transform, and train on multimodal robotics data.](https://toolradar.com/tools/rerun)[Voxel51 MultimodalCurate multimodal datasets and uncover model failures in one workflow](https://toolradar.com/tools/voxel51-multimodal) ## Popular AI data labeling comparisons See how the leading AI data labeling tools stack up head-to-head. - [SuperAnnotate vs Label Studio](https://toolradar.com/compare/label-studio-vs-superannotate) - [SuperAnnotate vs Labelbox](https://toolradar.com/compare/labelbox-vs-superannotate) - [Surge vs Labelbox](https://toolradar.com/compare/labelbox-vs-surge) - [Surge vs SuperAnnotate](https://toolradar.com/compare/superannotate-vs-surge) - [Kili vs Labelbox](https://toolradar.com/compare/kili-vs-labelbox) - [Kili vs Supervisely](https://toolradar.com/compare/kili-vs-supervisely) - [BasicAI vs Labellerr](https://toolradar.com/compare/basicai-vs-labellerr) - [Labellerr vs Labelbox](https://toolradar.com/compare/labelbox-vs-labellerr) - [Labellerr vs SuperAnnotate](https://toolradar.com/compare/labellerr-vs-superannotate) - [Labellerr vs CVAT](https://toolradar.com/compare/cvat-vs-labellerr) - [DagsHub vs Label Studio](https://toolradar.com/compare/dagshub-vs-label-studio) - [Encord vs Labelbox](https://toolradar.com/compare/encord-vs-labelbox) Compare all 18 AI data labeling tools side by side ## Pricing breakdowns for AI data labeling tools Real plans and the hidden costs for each tool. - [SuperAnnotate pricing](https://toolradar.com/tools/superannotate/pricing) - [Surge pricing](https://toolradar.com/tools/surge/pricing) - [Kili pricing](https://toolradar.com/tools/kili/pricing) - [CVAT pricing](https://toolradar.com/tools/cvat/pricing) - [Labelbox pricing](https://toolradar.com/tools/labelbox/pricing) - [BasicAI pricing](https://toolradar.com/tools/basicai/pricing) - [Labellerr pricing](https://toolradar.com/tools/labellerr/pricing) - [DagsHub pricing](https://toolradar.com/tools/dagshub/pricing) ## How to choose AI data labeling software 1. Match tool to data modalityImages, video, 3D: Labelbox, SuperAnnotate, V7, Encord. Text annotation: Labelbox, Prodigy. Audio: Speechmatics annotation, Labelbox. LLM evals/preference: Scale RLHF, Argilla. Match modality. 2. Audit workforce optionsBring-your-own labelers vs vendor-provided workforce. Scale AI has the largest workforce; smaller tools assume you bring labelers. Quality control matters, verify rater training and agreement scoring. 3. Plan for the ML loopLabeling without an active-learning loop wastes effort. Tools with active learning (Encord, V7) reduce labels needed for target accuracy. ## Honorable mentions Tools that didn't crack the headline list but deserve a look depending on what you optimize for. - [Scale AI](https://toolradar.com/tools/scale-ai) Best enterprise data labelingScale AI dominates large-scale ML data programs, workforce, tooling, RLHF. Premium pricing reflects this. ## Best AI Data Labeling for - [AI Data Labeling for Small Businesses](https://toolradar.com/best/ai-data-labeling/for/small-businesses) - [AI Data Labeling for Enterprises](https://toolradar.com/best/ai-data-labeling/for/enterprises) ## How we ranked these AI data labeling tools We rank by real-world signal: G2/Capterra review volume and rating, and media mentions (volume and recency). Pricing is re-checked and the ranking refreshed monthly. Tools evaluated18 With free plan50% Last updatedNovember 2026 Toolradar Research ## The data behind AI data labeling tools First-party analyses built from our full catalog, methodology published. - [Which software categories are actually free](https://toolradar.com/reports/free-software-report-2026) - [What B2B software really costs per month](https://toolradar.com/reports/saas-price-points-2026) - [The most crowded software markets](https://toolradar.com/reports/most-crowded-software-markets-2026) All Toolradar research Ask your AI assistant Toolradar works inside Claude, ChatGPT, Cursor and VS Code. Every price comes with the date it was read on the vendor's page. No API key needed. “What is the best AI data labeling tool for a 5-person team under $50 a month? Give me a short list with prices.” [Add to Cursor](cursor://anysphere.cursor-deeplink/mcp/install?name=toolradar&config=eyJ1cmwiOiJodHRwczovL3Rvb2xyYWRhci5jb20vYXBpL21jcCJ9)[Add to VS Code](vscode:mcp/install?%7B%22name%22%3A%22toolradar%22%2C%22url%22%3A%22https%3A%2F%2Ftoolradar.com%2Fapi%2Fmcp%22%7D)[Claude, ChatGPT and others](https://toolradar.com/for-agents?src=category) claude mcp add --transport http toolradar https://toolradar.com/api/mcp ## Frequently Asked Questions ### What is the best AI data labeling tool in 2026? Based on our analysis of 18 AI data labeling tools, SuperAnnotate is our overall AI data labeling pick. The next tools on the list are Surge, Kili, CVAT. Rankings use G2/Capterra review volume and rating, and media mentions. ### What are the top 3 AI data labeling tools? The top 3 AI data labeling tools in 2026, ranked by Toolradar, are: 1) SuperAnnotate, Bringing human intelligence to AI through expert data annotation and model evaluation. 2) Surge, High-quality training data for AI and ML models. 3) Kili, The most robust annotation tool for building powerful AI with high-quality, trustworthy datasets. ### Are there free AI data labeling tools? Yes. Surge is our free AI data labeling pick (free plan alongside paid plans). 6 of the 10 tools on this page have a free plan. Among the 18 AI data labeling tools we rank, 9 have a free plan. ### How do I choose the right AI data labeling tool? Start by defining your team size, budget, and must-have features. SuperAnnotate is our overall AI data labeling pick. Surge is our free AI data labeling pick. Compare all 18 options side by side on Toolradar. Cite this page: Toolradar, "Best AI Data Labeling Tools in 2026", updated November 2026, https://toolradar.com/best/ai-data-labeling [AI Data Labeling statistics catalog size, ratings and pricing data, updated monthly](https://toolradar.com/statistics/ai-data-labeling) For AI data labeling vendors ## Selling an AI data labeling product? Reach 930K+ buyers through Toolradar & Dupple. Newsletter ads and directory listings: the same surfaces buyers use to shortlist. Maximum 3 sponsors per issue, native layout, no ad design needed. Self-serve advertising Book a Spotlight, Primary Ad, or Native Advertorial yourself. Live in 1-2 weeks. See ad pricing → Full-service: let us run it Our agency owns the media + executes the campaigns. Demand, SEO, content, end-to-end. How the agency works → Some offers on this page may be paid placements or contain affiliate links. --- Source: https://toolradar.com/best/ai-data-labeling