Data and AI

Red Teaming and Safety Review

Deliberately probe AI systems for genuine safety failures before real users ever encounter them

10h4 lessonsTier 1 hireabilityTier 1 certificate

What you'll be able to do

You can systematically probe an AI system for genuine safety failures across common risk categories, document findings clearly and responsibly, and understand the real ethical boundaries of this specialised work.

Job titles this qualifies you for

Red Teaming ContributorAI Safety Reviewer
Market intelligence
Demand
High
Remote
95% remote roles
Nigeria salary
Not a primary local hiring category — paid per task/hour in USD regardless of contributor location
Remote (USD)
Highly variable by platform and task type: roughly $10-20/hour for basic annotation (Appen), $20-40/hour for skilled annotation/evaluation tasks broadly, up to $43-63/hour reported for Remotasks, and $20-75+/hour for Scale AI's more specialised contributor categories

Lessons

Stage 1 — Foundation
1
What Red Teaming Genuinely Is and Why It Matters
25 min
2
Systematic Probing Techniques
30 min
Stage 2 — Applied
1
Documenting Findings Clearly and Responsibly
25 min
2
Ethical Boundaries and Genuine Professional Limits
20 min
Tier 2 Proof Submission

Red Teaming and Safety Review Portfolio

Demonstrate genuine understanding of red teaming's sanctioned purpose, systematic probing technique, responsible documentation, and ethical boundaries.

1.A sanctioned-vs-malicious-use distinction explanation
2.An indirect probing technique example with reproduction-documentation reasoning
3.A structured finding report with severity assessment
4.A personal-limits scenario and a scope-boundary explanation
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