# clickworker vs Labelbox

clickworker records 1,861,149 monthly visits with +0.5% month-over-month growth and Contact for Pricing pricing. Labelbox records 762,803 monthly visits with -22.8% growth and Contact for Pricing pricing.

| Metric | [clickworker](https://openaitools.app/tool/clickworker-com) | [Labelbox](https://openaitools.app/tool/labelbox) |
| :--- | :--- | :--- |
| Website URL | https://clickworker.com | https://labelbox.com |
| Categories | AI Developer Tools, Large Language Models (LLMs), AI Face Recognition, AI Transcription | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 1,861,149 | 762,803 |
| MoM Growth Rate | +0.5% | -22.8% |
| Primary Market | United States | United States |
| Direct Visits | 947,133 | 370,024 |
| Review Score | 3.9 | 4.4 |
| Saved Count | 3 | 0 |
| Supported Platforms | Website | Website |

## clickworker

clickworker is a data-services company that turns business data projects into structured microtasks carried out by a global crowd. Companies define a task — collecting shelf photos, labeling images, verifying addresses, running surveys, testing an app — and clickworker recruits, briefs and quality-checks the workers who complete it. The crowd numbers more than 10 million registered freelancers across 136 countries.

The core offering is AI training data: image, video, audio and text datasets with human-powered labeling, annotation and validation, delivered in cooperation with parent company LXT. Around that sit adjacent services such as surveys with a verified respondent pool, store checks and display audits at the point of sale, tagging and sentiment analysis, crowdtesting for websites and apps, list building, and SEO copywriting.

Engagements can be self-service, fully managed or delivered through an API and iframe integration. clickworker emphasizes its 20+ years of microtask experience, ISO 27001 certification and GDPR compliance, and works with clients such as OTTO, Bosch and Tennis-Point on large-scale data collection and evaluation projects.

**Pricing & Plans:** clickworker quotes project prices rather than publishing list rates; cost depends on task type, volume, target geography and quality requirements. A self-service option and a managed service are both available, and Clickworkers are paid per completed task.

- **AI training data at scale:** Custom image, video, audio and text datasets with human labeling, annotation and validation, delivered with parent company LXT.
- **Global crowd of 10M+ Clickworkers:** Registered freelancers in 136 countries fill microtasks through web, Android and iOS apps, with flexible scaling up or down.
- **Survey and market research services:** An all-in-one survey tool plus access to a verified respondent pool for external studies and targeted insights.
- **Store checks and crowdtesting:** Real-time point-of-sale data collection, display audits, mystery checks, and usability testing for websites, apps and games.
- **Managed, self-service and API delivery:** Choose a fully managed project, run tasks yourself, or integrate crowd workflows through API and iframe form options.

**Strengths:** Enormous, geographically diverse crowd that can scale projects up or down quickly; Covers the full data pipeline from collection through annotation and validation; ISO 27001 certified and GDPR compliant with documented quality assurance; Multiple engagement models: managed, self-service, API and iframe

**Limitations:** Pricing is quote-based, so smaller projects may struggle to get transparent costs; Quality depends on task design and briefing, which the client must invest effort in; Not a plug-and-play AI API — it is a services business requiring project scoping

[Profile (Markdown)](https://openaitools.app/tool/clickworker-com.md)

## Labelbox

Labelbox occupies an unusual position in the AI stack: it does not primarily sell a chatbot or a generator, it builds the environments and data that models learn from plus the agents that take over recurring engineering and research work. The homepage claim is direct — frontier AI labs train on Labelbox environments and expert data, while engineering and research teams hand their recurring backlog to agents running on Recursion. A recent Series E of more than $100 million signals a heavily funded bet on that thesis.,For enterprises, the newer half of the product is Recursion. Agents are triggered by real signals — a failing build, a PagerDuty alert, a new dependency release, a fresh model checkpoint, or a Monday morning schedule — and then work in the background until the job is done. The examples the company promotes are concrete deliverables rather than summaries: a tested pull request with a preview link, a postmortem draft in Confluence with every event sourced, an ablation table naming the changes that mattered, or a patch for each exposed service after a critical CVE. A grader agent scores each run, and the graded session leaves behind memories, notes and skills that the next session reads before it acts.,The original foundation remains the data business: labeling, annotation, curation and model evaluation supported by expert human reviewers, used for computer vision, NLP, supervised fine-tuning, RLHF and red teaming. In practice the two halves reinforce each other, since the environments that produce high-quality training data are the same environments where agents learn to do real work. Pricing is enterprise-style, routed through sales conversations and shaped by data volume and agent usage, with no public self-serve tier.

**Pricing & Plans:** Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

- **Data labeling and expert annotation:** Structured annotation, curation, model evaluation and human-in-the-loop review across vision, language and generative tasks, used to build the training and eval data behind production models.
- **Autonomous agent sessions:** Recursion agents start on their own from builds, alerts, commits, checkpoints and schedules, then work in the background until the task is finished and reviewable.
- **Domain specialists by function:** Specialist agents cover software engineering, reliability, security, ML research, evals, R&D, product and finance workflows, from flaky test fixes to postmortem drafts and vulnerability patches.
- **Graded outcomes that compound:** Every agent run is scored by a grader, and graded sessions leave memories, notes and skills that the next session reads before acting, so quality compounds over time.
- **Native tool and data integrations:** Agents operate against the tools teams already use, including GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery, Databricks, Vercel and cloud providers.

**Strengths:** Covers both sides of the problem: training and eval data production plus agents that act on recurring work; Backed by a recent $100M+ Series E and adoption by frontier AI labs, indicating real funding and demand; Agent runs produce concrete deliverables with proof — tests, reruns, ablations — rather than unverified suggestions; Integrates with the toolchain teams already run: GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery and Databricks

**Limitations:** No self-serve pricing or open signup: everything routes through a sales conversation, which slows down evaluation; The platform assumes real engineering and research infrastructure (GitHub, cloud providers, data warehouses) to deliver value; Positioning has shifted quickly toward autonomous agent sessions, so teams wanting only labeling workflows may find it heavier than needed

[Profile (Markdown)](https://openaitools.app/tool/labelbox.md)

## Frequently Asked Questions

### How do clickworker and Labelbox compare in monthly traffic?

clickworker has 1,861,149 monthly visits, while Labelbox has 762,803. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

clickworker has a month-over-month growth rate of +0.5%; Labelbox has -22.8%.

### How does pricing compare?

clickworker: Contact for Pricing. clickworker quotes project prices rather than publishing list rates; cost depends on task type, volume, target geography and quality requirements. A self-service option and a managed service are both available, and Clickworkers are paid per completed task. Labelbox: Contact for Pricing. Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Prolific](https://openaitools.app/tool/prolific-com) | 18,697,671 | -1.8% | Paid | Offers a high-quality pool of verified human participants for research and preference tuning, but is less focused on traditional data annotation. | [.md](https://openaitools.app/tool/prolific-com.md) |
| 2 | [Outlier AI](https://openaitools.app/tool/outlier-ai) | 10,372,036 | +7.6% | Paid | Connects subject matter experts for advanced LLM training and prompting, but lacks general microtask crowdsourcing capabilities. | [.md](https://openaitools.app/tool/outlier-ai.md) |
| 3 | [OpenTrain AI](https://openaitools.app/tool/opentrain-ai) | 1,469,348 | +11.2% | Contact for Pricing | Specializes in matching AI labs with vetted human experts for RLHF, but offers fewer general data annotation services. | [.md](https://openaitools.app/tool/opentrain-ai.md) |
| 4 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Streamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration. | [.md](https://openaitools.app/tool/roboflow.md) |
| 5 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Relies heavily on managed human-in-the-loop workforce services for data validation, offering less self-serve technical tooling than Labelbox. | [.md](https://openaitools.app/tool/appen-com.md) |
| 6 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox. | [.md](https://openaitools.app/tool/scale.md) |
| 7 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 8 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) |
| 9 | [Surge AI](https://openaitools.app/tool/surgehq-ai) | 245,142 | +6.6% | Contact for Pricing | Focuses on elite domain experts for complex RLHF and frontier AI evaluation, but lacks casual crowdsourcing tasks. | [.md](https://openaitools.app/tool/surgehq-ai.md) |
| 10 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Specializes in advanced computer vision and physical AI data pipelines, though with a narrower focus than general text-and-image labeling. | [.md](https://openaitools.app/tool/encord-com.md) |

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Source: https://openaitools.app/compare/clickworker-com-vs-labelbox

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)