$38-60/hrAs published by the platform.
This role involves analyzing real-world application security scenarios and creating training datasets to teach AI models how to assess software vulnerabilities. You will evaluate code, APIs, and system behavior to distinguish genuinely exploitable risks from theoretical findings, providing structured analysis that helps frontier AI systems learn to reason about application security with the nuance of experienced engineers.
$38-60/hr
Pay as published by the platform. It is not a guarantee of income or hours.
The platform has not published which countries are eligible for this job.
You apply on Alignerr, Labelbox's expert network: create a profile, complete an AI-led interview and skills assessment, then get matched to projects in your field.
Official posting: https://www.alignerr.com/jobs/168be29b-1d1a-494d-892f-fcba52b367b5
Last checked on October 8, 2026.
This remote contract role asks an IAM specialist to help train and evaluate AI systems on identity and access security problems. The work covers reviewing access control scenarios, spotting misconfigurations and attack paths, and writing structured feedback. It suits experienced identity security professionals who can explain how identity failures happen in real enterprise environments.
This remote contract role asks analysts to bring offensive security knowledge to AI development without writing exploits or taking part in live intrusions. The work centers on analyzing attack paths and adversary behavior in structured scenarios, then producing labeled reasoning data and written assessments that help AI systems reason about cybersecurity. It suits experienced security professionals who can explain how real attacks unfold in production environments.
You join a red teaming team specialized in adversarial evaluation of conversational AI models. Your role consists of testing AI systems by exploring their vulnerabilities (jailbreaks, prompt injections, biases), generating high-quality data documenting these vulnerabilities, and producing reproducible reports to strengthen model safety. This position is for bilingual English-Danish experts with prior experience in red teaming or related fields (cybersecurity, adversarial ML, socio-technical analysis).
Posted July 30, 2026
This role involves evaluating AI models' ability to generate secure code by identifying vulnerabilities, testing their security reasoning, and writing corrections when they fail. It suits security engineers and cybersecurity professionals who can spot weaknesses in authentication, cryptography, input handling, and secret management that automated tools miss.
This role involves evaluating how AI models reason about offensive security concepts and identifying flaws in their exploit chain reasoning. Penetration testers with hands-on red team experience will test model outputs across reconnaissance, exploitation, privilege escalation, and lateral movement, then write accurate attack paths that reflect real-world tradecraft when models fall short.
This role involves leveraging your cybersecurity expertise to train next-generation AI systems. You will use Security Onion to execute security workflows, analyze alerts and network traffic, then document your approaches to create quality training data for AI models. The ideal profile combines solid hands-on experience with Security Onion and the ability to clearly communicate technical steps.
Posted September 23, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
