Protection Scientist, Engineer

10a Labs

. Identify and investigate misuse of the client's products, especially new types of abuse .

Posted 10/31/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python and SQL for developing and implementing abuse monitoring systems, with a strong focus on AI safety and proactive identification of misuse. Capable of collaborating across teams to enhance monitoring operations and automate processes for effective abuse detection.

Highest-signal resume keywords

Python ProficiencySQL ProficiencyAbuse Monitoring ImplementationCollaboration Across TeamsExperience With AI Safety

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisCodingStatisticsMachine LearningClassificationProcess AutomationAbuse DetectionTooling DevelopmentContext SwitchingEscalation Response

Soft Skills

Problem-SolvingAdaptabilityCommunicationTeam CollaborationCritical Thinking

Industry Keywords

AI ProductsChild SafetyDigital Mental HealthFraud AbuseRadicalizationHateful ActivitiesMalicious ActorsScaled ToolingMonitoring OperationsHigh-Risk Harms

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Identify and investigate misuse of the client's products, especially new types of abuse
Design and build systems to proactively identify and enforce against abuse on AI products
Establish robust abuse monitoring for new products and sustain monitoring for existing products
Prototype and incubate systems of defense against high-risk harms
Respond to and investigate critical escalations not caught by existing safety systems
Develop understanding of products and data
Scope and implement abuse monitoring requirements for new product launches
Improve monitoring operations and automate monitoring subtasks for existing products
Prototype and mature production systems for abuse detection, review, and enforcement
Collaborate with Product, Policy, Operations, Investigative, and Engineering teams to understand risks, develop responses, and build scaled tooling

Requirements

What you’ll need

Ability to work remotely on GMT and must be geographically located in the UK
Quantitative and coding background, including statistics/metrics
Proficiency in Python and SQL
Experience identifying, and ideally enforcing on, bad actors with scaled tooling
Ability to participate in an on-call rotation approximately once per quarter, resolving urgent escalations outside normal work hours
Ability to rapidly context switch across domains, modalities, and abuse areas, including violent activities and child safety
Background in machine learning and classification, especially on novel or poorly understood behaviours (desired, not required)
Experience scaling and automating processes, especially with language models (desired, not required)
Experience working with scaled labellers or reviewers (desired, not required)
Familiarity with AI safety, child safety, abuse by nation state and other malicious actors, digital mental health, fraud abuse, radicalization/persuasion/grooming, or hateful activities and groups (desired, not required)

Benefits

Comp & perks

Full-Time (40 hours per week), contract position
Remote position based in London, UK
On-call rotation approximately once per quarter, including urgent escalations outside normal work hours, evenings, and weekends