Aligned AI
Broad/Unclear specialization
Quick facts
- Company
- Aligned AI
- Service type
- Data annotation / AI training data
- Specialties
- Image
- Hiring status
- Both: hires workers and takes vendor projects
- Website
- aligned.ai
- Profile last verified
- 2026-01-29
Application process overview
Aligned AI is an Oxford-based AI-safety research startup co-founded in 2022 by Dr. Stuart Armstrong and Rebecca Gorman, focused on 'concept extrapolation' techniques that help models generalize human concepts safely. It is a research-heavy company rather than a crowd annotation platform, and does not meaningfully employ independent data labelers.
Key findings
Application Process: Hiring is through buildaligned.ai and LinkedIn for research-engineer and alignment-researcher roles. No public annotator signup exists.<br><br>Assessments: Role-specific technical interviews emphasizing ML, alignment theory, and engineering ability; not standardized annotator tests.<br><br>Job Types / Expertise: AI alignment researchers, ML engineers, and a small ops team. Some internal evaluation/red-teaming work exists but is not offered publicly.<br><br>Compensation: Competitive UK startup salaries with equity; not a per-task model. Not publicly disclosed.<br><br>Flexibility: Small team, Oxford-centric, with some remote flexibility typical of UK tech startups.<br><br>Challenges / Concerns: Very small company (angel-stage, ~$730K raised at a $24M valuation as of 2023) - limited hiring bandwidth and narrow role set. Not a fit for annotators.<br><br>Legitimacy: Highly legitimate research outfit with published work, Fortune coverage of its CoinRun benchmark result, and a public-interest alignment mission.
Conclusion
Aligned AI is a legitimate but narrow AI-safety startup, not a data annotation employer in any meaningful sense. Individual annotators will find nothing to apply to; technical researchers interested in AI safety may find the company a strong cultural fit. Anyone arriving here expecting labeling work should look elsewhere.