Open AI training and model evaluation roles that call for Red Teaming expertise, gathered from 6 platforms. Part of Data & Machine Learning.
Pay figures cover the 82 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
We are looking for experienced machine learning researchers to work on empirical research problems covering computer vision, language models, and robustness to adversarial attacks. You will train and improve end-to-end models, optimizing trade-offs between performance, efficiency, and robustness in resource-constrained contexts.
Posted August 5, 2026
This role involves evaluating advanced AI systems on their ability to analyze complex cybersecurity scenarios, identify vulnerabilities and propose exploits. The ideal candidate is an experienced offensive security researcher with publicly recognized technical contributions and deep expertise in vulnerability research and security engineering.
Posted August 4, 2026
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 consists of testing the robustness and security of conversational AI models by subjecting them to sophisticated adversarial attacks. You will generate high-quality training data by identifying vulnerabilities, biases, and systemic risks that automated tests do not detect. The ideal profile has prior experience in red teaming, structured adversarial thinking, and the ability to clearly communicate security risks.
Posted July 30, 2026
This role involves testing the limits and vulnerabilities of conversational AI models using adversarial techniques to identify security risks. You generate high-quality data that enables clients to improve the robustness and reliability of their AI systems. The ideal profile masters red teaming, structured adversarial thinking, and the ability to reproducibly document discovered flaws.
Posted July 30, 2026
You will join an adversarial testing team to evaluate the robustness and safety of conversational AI models. Your job is to identify vulnerabilities by generating malicious inputs, annotating failures, and documenting systemic risks to enable clients to improve their AI systems. This role suits experts with experience in security testing and a natural ability to explore the limits of systems.
Posted July 30, 2026
This role involves training conversational AI models by testing them adversarially to identify vulnerabilities and improve their safety. You will generate high-quality training data by annotating failures, classifying risks, and documenting reproducible attack cases. The ideal profile has prior experience in red teaming or cybersecurity, and masters a structured and methodical approach to testing the limits of AI systems.
Posted July 30, 2026
You join a team dedicated to adversarial testing of conversational AI models, identifying their vulnerabilities to malicious inputs, manipulations, and biases. This role consists of generating high-quality training data to strengthen the robustness and security of AI systems. You are ideally a red teaming expert with prior experience in adversarial security testing and fluent proficiency in English and Norwegian.
Posted July 30, 2026
Join a red teaming team specialized in AI safety: you will probe conversational models with adversarial attacks, discover vulnerabilities, and generate data that makes AI systems safer. This role, entirely text-based and team-oriented, will allow you to deploy ethical hacking techniques, risk classification, and documentation so that clients can act on identified flaws.
Posted July 30, 2026
You join a specialized team focused on adversarial evaluation of conversational AI models. Your role is to identify vulnerabilities in these systems by testing them with malicious inputs, then generate the data and reports that will enable clients to strengthen the security of their products. This position requires fluent mastery of English and Swedish, as well as prior experience in adversarial testing or security.
Posted July 30, 2026
You will join a red teaming team to test the robustness and security of conversational AI models by simulating adversarial attacks. The role involves generating high-quality training data by identifying vulnerabilities, biases, and abuse cases through structured and documented techniques. This position is for experts capable of thinking like an attacker to strengthen the defense of AI systems.
Posted July 30, 2026
You will join a team of adversarial testers tasked with probing conversational AI models to identify security vulnerabilities, biases, and misinformation. The job involves generating high-quality training data by simulating attacks, classifying failures, and documenting systemic risks. This role is for experts who can think like an adversary, structure their testing according to established frameworks, and communicate results clearly.
Posted July 30, 2026
This role involves stress-testing frontier AI models with adversarial prompts to uncover jailbreaks, unsafe behaviour and policy failures on sensitive topics. It is aimed at experienced safety, security, life sciences or policy professionals who can document weaknesses and help researchers strengthen model alignment.
Posted July 16, 2026
You join a red teaming team to test the robustness and security of conversational AI models. Your mission is to generate adversarial inputs (jailbreaks, prompt injections, misuse cases) to uncover vulnerabilities in AI systems before their deployment. You annotate failures, classify risks, and produce documented datasets that clients can leverage to improve their models.
Posted June 4, 2026
This role involves testing conversational AI models as an AI safety expert by generating adversarial training data to identify vulnerabilities. You will produce reports and structured datasets that enable clients to improve the robustness and security of their AI systems. The ideal profile masters critical content analysis, methodological rigor, and technical communication.
Posted June 4, 2026
You join a red teaming team to test and secure conversational AI models. Your job consists of generating adversarial inputs, identifying vulnerabilities (biases, disinformation, harmful behaviors) and producing high-quality annotated data that makes AI safer. This role requires fluent mastery of English and Gujarati as well as refined judgment on language and content.
Posted June 4, 2026
This role involves evaluating the safety of conversational AI models by testing them with adversarial inputs and sophisticated attack techniques. You will generate high-quality annotation data, document discovered vulnerabilities, and contribute to strengthening the robustness of AI systems. This job is suited for someone capable of carefully analyzing AI responses, detecting biases and subtle flaws, and communicating findings in a structured manner.
Posted June 4, 2026
You join a specialized AI safety team to test conversational language models by exposing their flaws and vulnerabilities through adversarial attacks. The job consists of generating high-quality training data through error annotation, risk classification, and documentation of reproducible attacks. This role is for rigorous language experts with critical judgment about the quality and accuracy of AI responses.
Posted June 4, 2026
Join a red teaming team dedicated to AI safety: you will probe conversational models with adversarial inputs to discover vulnerabilities and generate robust test data. This role requires native mastery of English and Odia, as well as fine judgment to assess the relevance, accuracy, and appropriateness of AI responses when facing sensitive topics. You will document your findings in a reproducible manner so that clients can strengthen the security of their systems.
Posted June 4, 2026
Join a red teaming team specialized in identifying vulnerabilities of conversational AI models. You will generate high-quality training data by testing AI systems with adversarial inputs, documenting flaws, and producing reproducible reports that clients can use to strengthen the security of their models.
Posted June 4, 2026
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FAQ
84 Red Teaming AI training jobs are open on SideHustler today. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 82 open roles that publish an hourly rate in USD, pay runs from $14 to $250 per hour, with a median of $69. These are the rates the platforms publish, not a guarantee of income or hours.
Mercor (56), Alignerr (23), DataAnnotation (2), micro1 (1), Terac (1) and Vetto (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are Red Teaming, Adversarial Testing, AI Evaluation, Vulnerability Assessment, AI Safety. Each listing states its own requirements.
Apply now opens the official posting on the platform, where you complete the application. You need no account on SideHustler. To see which roles fit your background first, add your resume and every open job is scored against your profile.
