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Company Summary

Company Overviews

Defined.ai is the leading provider of ethical AI data, offering the world’s biggest ethical AI data marketplace alongside subscriptions for flexible data access and custom services. With deep expertise in artificial intelligence and machine learning, Defined.ai delivers high-quality, ethically sourced training data, enabling companies to accelerate their AI solutions with data that is secure, bias-free, and compliant with ethical and legal standards.

Founded by Daniela Braga, PhD, in 2015, Defined.ai has earned recognition in top-tier outlets, including Forbes, Fortune, Gartner, CB Insights, and Inc., and has received numerous awards, with appearances on prestigious lists like Forbes AI 50, Deloitte Fast 100, and Inc. 500.

The company has raised over $80 million in funding and is headquartered in Seattle, WA, USA, with additional offices in Lisbon, Portugal.

Rating Reviews

Rating is calculated based on 2 reviews and is evolving.

Featured Reviews

Data Annotator
3.7
26 August 2026
Flexible Data Annotation Work with Fair Pay
Pros: Working on AI training data here has been a great experience. The tasks are interesting and contribute to real machine learning projects. The flexibility in hours is a huge benefit, allowing me to balance work with other commitments easily. It's a good entry point into the AI data services industry.
Cons: The pay structure, while decent, can feel a bit inconsistent depending on project availability. More transparency or structured advancement paths for annotators would be welcome. Sometimes there's a delay in getting feedback or clarifications on complex tasks.
Advice to Management: Consider implementing clearer performance metrics and tiered compensation structures to reward long-term contributors and motivate skill development. Also, improving the responsiveness of project managers for task clarifications would enhance efficiency.
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AI Data Specialist
3.7
25 September 2026
Decent Remote AI Work with Room for Skill Development
Pros: The flexibility of this remote role is a huge plus, fitting well into my lifestyle. I appreciate the opportunities to work on diverse AI projects and contribute to cutting-edge technology. The team is generally collaborative, and I've learned a lot about data annotation and machine learning processes.
Cons: Career progression isn't always clearly defined, making it hard to see a direct path up. Sometimes, project scope can shift unexpectedly, requiring quick adaptation. More structured training or mentorship programs would be beneficial for skill enhancement.
Advice to Management: Consider creating clearer career ladders and more formalized training modules to help employees grow their skills and see their future path within the company.
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