Vigil Talent | Watchful Minds for a Safer AI

Specialisations

Nine key roles. One mission.

Every role we place sits at the intersection of AI capability and human accountability, the fastest growing talent segment in the world.

Don't see your exact requirement? If your organisation needs a specific AI oversight role not listed here, tell us. Vigil Talent will find them.

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Prompt Engineer

Crafting the instructions that shape how AI models think and respond at scale.

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Why companies need this

Prompt Engineers determine whether an AI system reliably delivers value or generates costly, unpredictable outputs. Without them, enterprise AI deployments are inconsistent, error-prone, and difficult to trust at scale.

Without this role

Unengineered prompts produce hallucinations, harmful outputs, and compliance failures, eroding user trust and exposing the business to liability with every interaction.

$95k – $185k ← Tap to flip back

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AI Trainer

Curating and refining the data that teaches AI systems to be accurate and fair.

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Why companies need this

Models are only as good as the data they learn from. AI Trainers ensure that training datasets are accurate, representative, and free from the biases that cause AI to fail silently in production.

Without this role

Biased or poor quality training data produces AI that discriminates, underperforms in the real world, and attracts regulatory enforcement, often before the problem is even detected.

$65k – $140k ← Tap to flip back

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Ethics Reviewer

Auditing AI outputs for bias, harm, and misalignment with human values.

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Why companies need this

AI systems encode the values and blind spots of their creators. Ethics Reviewers catch harmful outputs before they reach users, protecting both individuals and the organisation's reputation.

Without this role

Unreviewed AI outputs in high-stakes domains cause measurable harm to real people. The legal, regulatory, and reputational consequences of deploying unreviewed AI are growing rapidly under the EU AI Act.

$80k – $160k ← Tap to flip back

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HITL Auditor

The human check that sits between AI decisions and real-world consequences.

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Why companies need this

In finance, healthcare, and legal contexts, automated AI decisions carry enormous risk. HITL Auditors are the human safeguard that stands between an algorithm and a life-changing decision.

Without this role

A single unchecked AI error in a critical domain such as a wrongful loan denial, a missed medical flag, or a false legal finding, resulting in financial loss, regulatory action, and lasting harm to individuals.

$70k – $150k ← Tap to flip back

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AI Red Teamer

Finding failure modes before they ship. Stress-testing AI against adversarial conditions.

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Why companies need this

Every AI system has vulnerabilities. Red Teamers find them before bad actors do, probing for jailbreaks, harmful outputs, and safety failures through structured adversarial testing before deployment.

Without this role

Undetected vulnerabilities are found and exploited by adversaries. The cost of a public AI safety failure dwarfs the cost of the Red Teamer who would have prevented it.

$120k – $200k ← Tap to flip back

AI Policy Officer

Navigating the EU AI Act, NIST frameworks, and corporate governance requirements.

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Why companies need this

The EU AI Act is now in force. Organisations deploying AI in high-risk categories face mandatory compliance obligations. AI Policy Officers translate regulatory requirements into operational reality.

Without this role

Non-compliance with the EU AI Act carries fines of up to €35 million or 7% of global annual turnover, whichever is higher. Ignorance of the regulation is not a defence.

$90k – $170k ← Tap to flip back

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Model Evaluator

Benchmarking model quality, capability, and safety. Quality assurance for AI.

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Why companies need this

You cannot trust what you cannot measure. Model Evaluators design the tests that verify whether AI systems actually perform as intended across capability, safety, and reliability, before and after deployment.

Without this role

Unvalidated models deployed in production fail in ways that are silent, systematic, and expensive to diagnose. By the time the failure surfaces, real damage has already been done.

$85k – $160k ← Tap to flip back

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AI Safety Researcher

Applied research into alignment and interpretability, making AI systems robustly safe.

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Why companies need this

As AI systems become more capable, the gap between what they can do and what we can understand and control widens without active safety research. These researchers close that gap before it becomes critical.

Without this role

Advanced AI systems without interpretability and alignment research become progressively harder to oversee, correct, or shut down. This is not a theoretical risk. It is an active concern at every frontier AI lab.

$130k – $250k ← Tap to flip back

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Data Curator

Leading teams that build the high-quality datasets AI depends on to perform well.

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Why companies need this

The quality of an AI system is inseparable from the quality of its training data. Data Curators lead the teams that ensure datasets are accurate, comprehensive, and fit for purpose. This is the foundation everything else is built on.

Without this role

Systematically flawed training data produces AI that fails consistently and in ways that are structurally difficult to fix. Remediation requires rebuilding the data pipeline from scratch, at enormous cost.

$75k – $140k ← Tap to flip back

AI is more powerful with the right humans behind it

Nine key roles. One mission.

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