Valkyrie V7 is one of Outlier AI's highest-value specialist projects — specifically recruiting cardiologists to review ECGs and solve complex clinical scenarios that train AI in diagnostic reasoning. The referral reward of up to $1,000 per referred colleague makes this the most lucrative referral program currently active in the AI training space that we're aware of.
What Valkyrie V7 Is
Valkyrie V7 is a medical AI training project through Outlier AI targeting US, Canadian, and UK cardiologists — specifically attendings, fellows, or advanced residents. The work involves reviewing ECGs, interpreting clinical presentations, and solving diagnostic reasoning scenarios that are used to train AI diagnostic systems. This is expert-level clinical work, not general health content evaluation.
Who Qualifies
The project is specifically for:
- Cardiologists — attending physicians with active cardiology practice
- Cardiology fellows in accredited training programs
- Advanced cardiology residents in their final years of training
- Must be based in the US, Canada, or UK
Note: this project currently specifies US, Canadian, and UK physicians. EU-based cardiologists may qualify depending on their training background — the project's requirements around recognized credentials are worth clarifying during the application process.
What the Work Involves
ECG review and interpretation, complex clinical scenario evaluation, and diagnostic reasoning assessment — work that draws directly on clinical cardiology expertise. The AI systems being trained are diagnostic tools, and the quality of the training data directly depends on the accuracy of expert evaluation. This is why the pay rates and referral rewards for this project are dramatically higher than generalist AI training work.
The $1,000 Referral Reward
Valkyrie V7's referral reward of up to $1,000 per referred cardiologist who completes the required tasks is the highest referral bounty in our entire platform coverage. It reflects a straightforward supply constraint: qualified cardiologists willing to do remote AI evaluation work are genuinely rare, and Outlier AI is willing to pay substantially to find them through trusted networks. If you are a cardiologist or work in a cardiology department, sharing this project link with qualified colleagues is potentially the highest single-action income opportunity on this site.
A significant referral program exists because Outlier AI cannot easily find cardiologists willing to do this work through standard channels. If you're in a cardiology department, you have access to a network that is genuinely hard to reach — and the reward reflects that access.
Valkyrie V10: OB/GYN and Women's Health
A parallel project — Valkyrie V10 — targets OB/GYN and Women's Health MDs with a referral program. If you know physicians in both specialties, both projects are worth sharing independently.
What Cardiology Tasks Actually Involve
Valkyrie V7 cardiology tasks require evaluating AI-generated clinical reasoning on cardiac cases: diagnostic differential evaluation for chest pain presentations, assessment of AI cardiology recommendations against current ACC/AHA guidelines, and review of AI-generated ECG interpretation narratives. Tasks draw on clinical judgment and current evidence-based practice — not academic cardiology research. Active clinical cardiologists and interventional cardiology fellows are the primary target, though general internal medicine physicians with significant cardiology exposure have also been accepted.
The $1,000 Referral in Context
The a significant reward per qualified physician referral is one of the largest referral rewards in the AI training space — reflecting how scarce qualified cardiology reviewers are relative to project demand. If you know cardiologists who might be interested, the economics of a single referral are significant. See our Valkyrie V10 OB/GYN guide for the parallel women's health specialist opportunity.
The Multi-Platform Approach
The highest-earning AI training contractors don't rely on a single platform. Task availability on any platform varies by project cycle — some weeks are busy, some are slow. Running 2-3 platforms simultaneously means your weekly income is smoothed across multiple task pools. The application investment (typically 20-45 minutes per platform) is paid back within the first week of active work on each new platform. See our full platform guide for the complete ranked list and Platform Picker for a personalised recommendation based on your background.
Getting Started This Week
The most common mistake is applying to one platform and waiting for full approval before applying to the next. Apply to 3 platforms in the same week: Mercor (AI video interview, 20 min), DataAnnotation.tech (skills assessment, 30-45 min), and one specialist platform matched to your background. All three approval processes run in parallel, and you'll have at least one active within 2 weeks rather than waiting 6 weeks sequentially.
Ready to Apply?
Use our referral link and start your application today.