Labelbox pricing

About

Labelbox is an AI training-data platform — what the company now calls a “data factory” — that helps teams curate, label, and evaluate the data used to train and post-train AI models. Founded in 2018 and headquartered in San Francisco, Labelbox grew out of a pure image-annotation tool into a three-product platform: Catalog (data curation and natural-language search), Annotate (human and model-assisted labeling), and Model (evaluation, model runs, and comparison). It is one of the best-known names in the data-labeling category alongside Scale AI and a long tail of open-source and managed-workforce competitors.

The company’s strategy has shifted with the market. As frontier labs moved from supervised labeling toward reinforcement learning and human preference data, Labelbox leaned into a managed expert network — Alignerr — that supplies highly-skilled AI trainers for post-training and evaluation work, plus Alignerr Connect, a marketplace where customers hire those experts directly. The result is a business that sells two very different things: self-serve software metered by usage, and human data labor sold through sales.

For current pricing, see Labelbox’s pricing page and the pricing calculator.

Pricing summary : How Labelbox’s pricing model works

Labelbox’s pricing has three distinct surfaces, and they don’t share a meter:

1. Free tier — self-serve, no cost. Core Catalog/Annotate/Model features with hard caps (up to 30 users, 50 projects, 25 ontologies, 1 workspace) and a monthly Labelbox Unit (LBU) allowance. No SSO, no Labelbox Monitor, no quality guarantee — community support only.
2. Subscription (Starter) tier — pure usage-based at $0.10 per Labelbox Unit (LBU), billed monthly on actual consumption. Unlocks unlimited users/projects/ontologies plus SSO, Monitor, custom embeddings, Foundry models, the AI critic, the labeling quality guarantee, and premium support. Add-ons (extra LBUs, extra workspaces, security/HIPAA) are available for purchase.
3. Services & Enterprise — sales-quoted. Managed human-data work (Standard Services, Alignerr Services, Alignerr Connect) and enterprise contracts with custom pricing, multiple workspaces, and volume discounts.

The clever — and confusing — part is the LBU itself. An LBU is a normalized unit of data work that is consumed at different rates depending on which product you use: storing/curating data is cheap, labeling is expensive, and model evaluation sits in between.

What makes this different: Most data-labeling vendors either sell pure managed labor (per-label, sales-quoted) or pure software seats. Labelbox publishes a single self-serve consumption rate ($0.10/LBU) that spans curation, labeling, and evaluation, then layers sales-quoted human services on top. The LBU lets one meter price three very different workloads — at the cost of making the bill hard to predict until you understand the per-product conversion rates.

Pricing by product

Published self-serve pricing as of June 2026. The LBU base rate is $0.10/LBU; what differs is how many data rows it takes to burn one LBU:

Tiers and what they unlock:

Sales motions across products: the Free and Subscription tiers are fully self-serve (PLG) — sign up and pay per LBU. The human-data services (Standard, Alignerr, Alignerr Connect) and Enterprise contracts are sales-led and quoted per project. Labelbox is also free for non-commercial academic use.

Hidden costs : What Labelbox users actually pay

The headline rate is clean ($0.10/LBU), but the real bill depends heavily on the workload mix and what you add on:

The biggest real-world cost driver isn’t the software meter — it’s human labor. For teams that need managed labeling or RLHF data, the sales-quoted Alignerr services typically dwarf the per-LBU platform charge, and those rates aren’t published. The second trap is the per-product LBU asymmetry: a team that assumes “$0.10 per row” budgets for Catalog rates will be off by about 60x once labeling starts, because Annotate burns a full LBU per single row. Catalog’s recurring monthly meter also means stored data keeps costing LBUs unless rows are removed within the 7-day grace window.

Want to estimate your own Labelbox bill? Use the Labelbox pricing calculator to model your costs based on data rows and product mix.

Pricing evolution : Labelbox pricing history and changes

Cadence

Tracked range: 2021–present (per published pricing and pricing-calculator captures; see public/images/blueprint/labelbox/).

Notable changes

• Early years (2018–2021) — Labelbox priced its annotation tool on a per-seat / annual-subscription basis, like most early labeling SaaS.
• 2022–2023 — As the platform expanded from pure labeling into Catalog (curation) and Model (evaluation), Labelbox moved to the Labelbox Unit (LBU) consumption model, with a published Starter rate of $0.10/LBU and a free LBU allowance. One meter now prices three products at different conversion rates.
• 2024–2026 — The $0.10/LBU rate held. The managed workforce (formerly “Boost”) consolidated into the Alignerr expert network and the Alignerr Connect marketplace, doubling down on sales-quoted human-data services as RLHF and post-training demand grew.

The direction of travel: software pricing stayed simple and self-serve, while the company’s growth bet moved toward sales-led human-data services that sit off the published rate card.

What’s unique : Labelbox’s distinctive pricing mechanics

1. One normalized meter, three rates. The LBU prices curation, labeling, and evaluation through a single unit, but converts each at a different ratio (60 rows, 1 row, 5 rows per LBU). It’s a rare example of a usage meter deliberately not being a flat per-row price.

2. Published software, sales-quoted labor. Labelbox openly publishes its $0.10/LBU software rate, then sells human-data services entirely through sales. The same platform monetizes code and people on opposite transparency models.

3. A two-sided expert marketplace. Alignerr Connect lets customers hire vetted AI trainers per project — Labelbox isn’t just selling its own managed workforce, it’s running a marketplace and pricing access to it separately from the software.

Strengths & weaknesses

Billing UX : Labelbox billing controls and transparency

• Billing controls — Pay-as-you-go on the Subscription tier, billed monthly on actual LBU consumption; the Free tier enforces hard caps (users, projects, ontologies, LBU allowance). Catalog applies a 7-day grace period so rows removed quickly don’t consume LBUs.
• Usage visibility — A built-in pricing calculator lets teams estimate LBU spend per product before committing; the platform meters usage across Catalog, Annotate, and Model.
• Payment options — Self-serve checkout for Free and Subscription tiers; sales-led contracts and invoicing for Enterprise and all human-data services (Standard, Alignerr, Alignerr Connect).

Strategic wins : Why Labelbox’s pricing decisions worked

1. A normalized unit that scales across products

By inventing the LBU, Labelbox could expand from one product (labeling) to three (Catalog, Annotate, Model) without inventing a new price book each time — usage just maps to LBUs at product-specific ratios. See choosing the right usage metric.

2. A real free tier as the top of the funnel

The Free tier’s genuinely useful caps (30 users, 50 projects) let teams prove value before paying a cent, then convert to $0.10/LBU as production volume grows — classic PLG. See how AI companies structure pricing.

3. Monetizing human labor as the market shifted to RLHF

As demand moved from supervised labeling toward reinforcement learning and preference data, Labelbox leaned into sales-quoted Alignerr services and a per-project expert marketplace — capturing high-value human-data spend that a pure software meter never could. Related: outcome-based pricing trends.

Areas to improve : Gaps in Labelbox’s pricing approach

1. The LBU is hard to forecast

A single “$0.10/LBU” headline hides a 60x range in per-row cost between Catalog and Annotate. Clearer per-product cost previews and budget alerts would reduce bill shock. See bill shock and cost unpredictability.

2. Opaque human-data services

Standard, Alignerr, and Alignerr Connect are entirely sales-quoted. Even indicative per-task or per-hour ranges would help buyers scope projects without a sales call, especially for the smaller teams the free tier attracts.

3. No published volume or commit discounts on software

The self-serve rate is flat at $0.10/LBU with no published tiers or commit pricing. High-volume teams must negotiate Enterprise, leaving a gap between pay-as-you-go and a custom contract.

Key takeaways

1. Labelbox prices platform usage with the Labelbox Unit (LBU) — a normalized consumption meter at $0.10/LBU on the self-serve Subscription tier. For the underlying model, see the introduction to usage-based pricing.
2. The LBU converts at different rates per product — 60 rows for Catalog, 1 row for Annotate, 5 rows for Model — so the same data costs wildly different amounts depending on the workload.
3. A genuine free tier (30 users, 50 projects, an LBU allowance) drives PLG adoption before the $0.10/LBU meter kicks in.
4. Human-data services (Alignerr) are sales-quoted and opaque — the largest and least predictable line item for teams that need managed labeling or RLHF.
5. Software is published, labor is gated — Labelbox monetizes code and people on opposite transparency models through one platform.

UBP implications

1. A normalized usage unit can future-proof a multi-product platform. The LBU let Labelbox add products without re-architecting pricing — a reusable pattern for any business expanding its surface area.
2. Normalization can hurt predictability. Mapping different workloads to one unit at different ratios makes the headline rate clean but the bill opaque; transparent per-action previews matter.
3. Publish what self-serves, quote what scales. Labelbox shows a viable split — a transparent self-serve meter for software plus sales-led pricing for high-value human labor — rather than forcing one model onto both.

Sources

• Labelbox pricing (accessed 2026-06-15)
• Labelbox pricing calculator (accessed 2026-06-15)
• Labelbox billing docs (accessed 2026-06-15)
• zoftwarehub — Labelbox pricing (accessed 2026-06-15; 2nd source on $0.10/LBU + tiers)
• Vendr — Labelbox pricing (accessed 2026-06-15; 2nd source on plans)

Bottom line

Labelbox prices its AI training-data platform with a normalized consumption meter — the Labelbox Unit — at $0.10/LBU on a self-serve Subscription tier, sitting above a genuinely useful free tier. The twist is that the LBU converts at very different rates across Catalog, Annotate, and Model (60, 1, and 5 rows per LBU), so the same dataset can cost wildly different amounts depending on whether you curate, label, or evaluate it. The big, opaque line item is human labor: Standard, Alignerr, and Alignerr Connect services are entirely sales-quoted, reflecting Labelbox’s bet on managed RLHF and post-training data as the market shifted. Browse the pricing blueprint for more fully-researched company profiles.