mindrift.ai valid
Mindrift
Mindrift is an AI training platform where domain experts get paid to improve
For agents: AI training platform where domain experts (STEM, coding, legal) get paid to create, evaluate and review AI tasks; includes application and FAQ pages.
ai-trainingexpert-contributorsai-evaluationfreelance-workstem-tasks
- Authority
- 50 reach 9 · trust 5 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://mindrift.ai/llms.txt
- Sections
- 3
- Links
- 19
- Size
- 2525 bytes
- Popularity rank
- #466048
- Country
- Netherlands
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- Audience
- mixed · agents can: read docs · en
- First seen
- 2026-10-19T10:41:06.200Z
- Last checked
- 2026-10-19T23:34:12.164Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-22T11:31:27.042Z. Cached copy · Source on mindrift.ai
# Mindrift
> Mindrift is an AI training platform where domain experts get paid to improve
> generative AI models — creating, evaluating, refining, reviewing and annotating
> data for leading AI companies. Contributors work remotely on project-based tasks
> across 90+ knowledge domains and 20+ languages. Mindrift is owned by Toloka AI BV
> (Amsterdam, Netherlands) and was founded by Olga Megorskaya, CEO of both companies.
## Start here
- [How it works](https://mindrift.ai/how): The contributor journey — what tasks involve (creating, evaluating, refining, reviewing, annotating) and the two ways to join.
- [Apply](https://mindrift.ai/apply): Application process for new contributors.
- [FAQ](https://mindrift.ai/faq): Answers on eligibility, payments, task types, and account questions.
- [About Mindrift](https://mindrift.ai/about): Company background, ownership by Toloka, and leadership.
## Project types
- [STEM](https://mindrift.ai/project/stem): Research-level AI tasks for science, technology, engineering and mathematics specialists.
- [Coding](https://mindrift.ai/project/code): Code review, generation and automation across multiple programming languages.
- [Legal](https://mindrift.ai/project/legal): Evaluating AI legal reasoning and citations, for attorneys and legal researchers.
- [Consulting](https://mindrift.ai/project/consulting): Designing and evaluating business, strategy, operations and M&A scenarios.
- [AI agents](https://mindrift.ai/project/agent): Tasks for training and evaluating agentic AI systems.
- [Writing](https://mindrift.ai/project/writing): Written content creation and editing for model training.
- [Design](https://mindrift.ai/project/design): Design-focused AI training tasks.
- [Robotics](https://mindrift.ai/project/robotics): Data tasks supporting robotics and embodied AI models.
- [Egocentric video](https://mindrift.ai/project/egocentric/en): First-person video capture projects for Physical AI.
- [Annotation](https://mindrift.ai/project/annotation): Labelling, tagging and transcription of existing data.
- [Data scraping](https://mindrift.ai/project/scraping): Structured data collection tasks.
## Optional
- [Community](https://mindrift.ai/community): Contributor community and support resources.
- [Blog](https://mindrift.ai/blog): Articles on AI training work, projects and contributor guidance.
- [Terms](https://mindrift.ai/legal/terms), current version.
- [Privacy notice](https://mindrift.ai/legal/privacy), current version.Related sites
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Machine-readable: GET /v1/resolve?q=mindrift.ai · GET /v1/domain/mindrift.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
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