About RobotTraining.jobs
Search open robot training jobs (teleoperation, data collection, AV and drone tests) and their pay.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://robottraining.jobs/api/mcpclaude mcp add --transport http jobs-robottraining-robot-training-jobs https://robottraining.jobs/api/mcp{"mcpServers":{"jobs-robottraining-robot-training-jobs":{"type":"http","url":"https://robottraining.jobs/api/mcp"}}}Open in Cursor{"servers":{"jobs-robottraining-robot-training-jobs":{"type":"http","url":"https://robottraining.jobs/api/mcp"}}}Open in VS Code{"mcpServers":{"jobs-robottraining-robot-training-jobs":{"type":"http","url":"https://robottraining.jobs/api/mcp"}}}{"mcpServers":{"jobs-robottraining-robot-training-jobs":{"serverUrl":"https://robottraining.jobs/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
3| Parameter | Type | Required | Description |
|---|---|---|---|
| kind | enum | No | Kind of work. One of the listed slugs, e.g. 'teleoperation', 'egocentric-wearable', 'av-drone-operator'.teleoperation | demonstration-collection | egocentric-wearable | embodied-annotation | robot-qa-eval | fleet-ops | av-drone-operator |
| limit | integer | No | How many roles to return (1 to 25). |
| query | string | No | Keywords matched against role titles, e.g. 'teleoperator', 'drone', 'test driver', 'humanoid'. |
| country | string | No | ISO 3166-1 alpha-2 code (e.g. 'US', 'IN', 'BR'): only roles open to applicants in that country. |
| platform | string | No | Employer slug, e.g. 'tesla-optimus', 'waymo', 'micro1'. get_robot_training_market lists them. |
| min_hourly_usd | integer | No | Only roles whose advertised hourly ceiling reaches this many US dollars. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.