# Scale ai AI integration on Definable

> Scale AI provides data labeling and annotation services for machine learning, offering access to a global workforce and sophisticated tools for training AI models with high-quality labeled data

## What this connects

Scale AI provides data labeling and annotation services for machine learning, offering access to a global workforce and sophisticated tools for training AI models with high-quality labeled data

Vendor: https://scale.com/

## Tools available

**40** tools available. First 12:

- `SCALE_AI_ADD_STUDIO_ASSIGNMENTS` — Add Studio Assignments — Tool to add project assignments to team members in Scale AI Studio. Use when you need to assign specific projects to team members by their email addresses. This action creates new assignments for the specified team members and projects.
- `SCALE_AI_ADD_TASK_TAGS` — Add Task Tags — Tool to add tags to an existing task. Use when you need to tag or categorize tasks for organization and filtering. Automatically avoids duplicate tags.
- `SCALE_AI_CREATE_BATCH` — Create Batch — Tool to create a new batch within a project. Use when you need to group multiple tasks together for organizational and processing purposes.
- `SCALE_AI_CREATE_DOCUMENT_TRANSCRIPTION_TASK` — Create Document Transcription Task — Tool to create a document transcription task where workers transcribe and annotate information from single or multi-page documents. Use when you need to extract structured data from documents like invoices, forms, or screenshots.
- `SCALE_AI_CREATE_IMAGE_ANNOTATION_TASK` — Create Image Annotation Task — Tool to create an image annotation task where annotators label images with vector geometric shapes (box, polygon, line, point, cuboid, ellipse). Use when you need to annotate objects in images with bounding boxes, polygons, or other geometric annotations.
- `SCALE_AI_CREATE_LIDAR_ANNOTATION_TASK` — Create Lidar Annotation Task — Tool to create a lidar annotation task where annotators mark objects with 3D cuboids in 3D space. Use when you need to annotate LIDAR frame sequences with 3D object detection.
- `SCALE_AI_CREATE_LIDAR_SEGMENTATION_TASK` — Create LiDAR Segmentation Task — Tool to create a LiDAR segmentation task where annotators assign semantic class labels to individual LiDAR points. Use when you need to annotate point cloud data with object classes such as vehicles, pedestrians, roads, buildings, etc. Either 'project' or 'batch' must be provided in the request.
- `SCALE_AI_CREATE_NAMED_ENTITY_RECOGNITION_TASK` — Create Named Entity Recognition Task — Tool to create a named entity recognition task for labelers to highlight text entity mentions. Use when you need to extract and label entities such as people, organizations, or locations from text.
- `SCALE_AI_CREATE_SEGMENTATION_ANNOTATION_TASK` — Create Segmentation Annotation Task — Tool to create a segmentation task where annotators classify pixels in an image according to provided labels. Use when you need pixel-wise semantic segmentation of images.
- `SCALE_AI_CREATE_TEXT_COLLECTION_TASK` — Create Text Collection Task — Tool to create a textcollection task for collecting information from attachments and/or web sources. Use when you need to gather structured data from documents, websites, images, or other content by having taskers fill out defined fields.
- `SCALE_AI_CREATE_VIDEO_ANNOTATION_TASK` — Create Video Annotation Task — Tool to create a video annotation task where annotators draw geometric shapes around specified objects across video frames. Use when you need to annotate video content with bounding boxes, polygons, lines, points, cuboids, or ellipses. Accepts either individual image frames or video files.
- `SCALE_AI_CREATE_VIDEO_PLAYBACK_ANNOTATION_TASK` — Create Video Playback Annotation Task — Tool to create a video playback annotation task where annotators draw shapes around specified objects in video files. Use when you need to annotate videos with bounding boxes, polygons, lines, points, cuboids, or ellipses for object detection and tracking.

## Auth

Auth schemes: `API_KEY`.

## How agents use Scale ai

Inside a Definable workflow, Scale ai is one of the tools the **Distributor specialist** can call. Example coordination patterns:

- **Researcher → Scale ai** — the Researcher (GPT-5.5) pulls context from Scale ai (records, threads, documents), synthesises findings, and briefs the rest of the team.
- **Writer → Distributor → Scale ai** — the Writer (Claude Opus 4.7) drafts copy in brand voice, the Verifier passes it, then the Distributor writes the result into Scale ai (create record, post message, draft email).
- **Designer / Engineer → Distributor → Scale ai** — the Designer ships an asset or the Engineer ships a code change, the Distributor delivers it via Scale ai (attach file, open PR comment, post status).

The Verifier checks every Scale ai call. On rate limit, schema drift, or auth refresh it self-heals and retries — the workflow completes without manual intervention.

## Categories

- artificial intelligence — https://definable.ai/apps/category/artificial-intelligence/
- ai models — https://definable.ai/apps/category/ai-models/

## Related

- HTML page: https://definable.ai/apps/scale_ai/
- Same category (artificial intelligence): https://definable.ai/apps/category/artificial-intelligence/
- All integrations: https://definable.ai/apps/
- Workflow (multi-agent loop): https://definable.ai/workflow/
- Apps llms.txt index: https://definable.ai/llms-apps.txt