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AI Evaluation & Red Teaming Engineer

Specialized AI, Machine Learning & MLOps professional focused on constructing automated llm benchmark evaluation harnesses (mmlu, gsm8k, mt-bench, humaneval) and enterprise-grade execution.

AI_MLO*NET-SOC: 15-1221.00Seniority: entry · mid · seniorAliases: AI Red Teamer, LLM Evaluation Specialist

Core Responsibilities

  • Execute and maintain production-grade solutions for AI Evaluation & Red Teaming Engineer
  • Collaborate with cross-functional engineering teams and uphold quality standards

Skills Weighting (Durable vs Perishable)

Penetration Testing & Red Team Operationscompetent proficiency
DURABLE
Vulnerability Management & Software Supply Chain Securitycompetent proficiency
DURABLE
Application Security (AppSec) & DevSecOpscompetent proficiency
DURABLE

Adjacent Career Transitions

Difficulty: 2/5~6-18 months

AI Safety & Alignment Engineer

Domain specialization bridge from AI Evaluation & Red Teaming Engineer to AI Safety & Alignment Engineer

View Target Role
Difficulty: 3/5~12-24 months

Computer Vision Engineer

Deep technical transition from AI Evaluation & Red Teaming Engineer into Computer Vision Engineer

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Difficulty: 3/5~12-24 months

Engineering Manager

Transition from technical individual contribution in AI Evaluation & Red Teaming Engineer to engineering management

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Difficulty: 3/5~18-36 months

Software Architect

Cross-system architectural boundaries beyond local AI Evaluation & Red Teaming Engineer scope

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Frequently Asked Questions

What are the core technical competencies required for a AI Evaluation & Red Teaming Engineer?

A AI Evaluation & Red Teaming Engineer focuses on Constructing automated LLM benchmark evaluation harnesses (MMLU, GSM8k, MT-Bench, HumanEval); Simulating adversarial jailbreak attempts, indirect prompt injection, and extraction attacks. Core responsibilities include: Execute and maintain production-grade solutions for AI Evaluation & Red Teaming Engineer, Collaborate with cross-functional engineering teams and uphold quality standards.

What distinguishes a AI Evaluation & Red Teaming Engineer from adjacent engineering roles?

Unlike adjacent roles, a AI Evaluation & Red Teaming Engineer is specifically NOT expected to handle: Unfocused generalist work without clear domain deliverables; Pure administrative coordination without technical ownership. Seniority tracks encompass entry, mid, senior levels.

What decision authority and hands-on technical ownership does a AI Evaluation & Red Teaming Engineer hold?

A AI Evaluation & Red Teaming Engineer holds primary decision authority over Model safety pass/fail deployment gate decisions, red team findings severity classification.. This role typically maintains an estimated 80% hands-on technical focus with low customer exposure and moderate ambiguity tolerance.

What are the typical promotion ladders and career mobility pathways from AI Evaluation & Red Teaming Engineer?

Progression within AI Evaluation & Red Teaming Engineer spans entry → mid → senior seniority tiers. Common adjacent lateral and vertical mobility targets include: Ai Engineer, Generative Ai Engineer, Rag Engineer.

How are compensation benchmarks evaluated for a AI Evaluation & Red Teaming Engineer?

Salaries for AI Evaluation & Red Teaming Engineer are aggregated from verified statutory and market reports across 6 tech hubs, normalized with k ≥ 5 cohort suppression to preserve privacy, and evaluated across P10 to P90 percentiles.

Which international visa pathways apply to a AI Evaluation & Red Teaming Engineer?

Qualifying roles in this family align with statutory shortage criteria under frameworks such as the Germany EU Blue Card (§ 18g AufenthG) and Netherlands Highly Skilled Migrant regulations (Kennismigrant), using official O*NET-SOC (15-1221.00) and ESCO/ISCO-08 classifications.

AI Summary

AI Evaluation & Red Teaming Engineer: Core role responsible for constructing automated llm benchmark evaluation harnesses (mmlu, gsm8k, mt-bench, humaneval), decision authority over model safety pass/fail deployment gate decisions, red team findings severity classification., and cross-team execution.