598 open roles accept applicants living in the United States, based on the countries each platform publishes. The work is remote, and pay is published by the platform, usually in US dollars.
Pay figures cover the 546 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
You have deployed and operated language model-based agents in production, with direct experience of their failures and real adoption in enterprise environments. This role consists of sharing your expertise on reliability, evaluation, and scaling of AI agents in complex environments, through conversational interviews drawing on your concrete practical feedback.
Posted August 12, 2026
You will bring your expertise in atomistic modeling and computational chemistry to a cutting-edge AI laboratory in materials science. Your role consists of generating and evaluating high-quality scientific data for training AI models, by applying your in-depth knowledge of surface simulation, adsorption and reaction kinetics. You will contribute directly to improving the scientific reasoning of models on chemical processes and material properties.
Posted August 6, 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
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
Mercor is recruiting experienced data scientists to join a talent network designed to evaluate the capabilities of AI systems to perform data science work. Future roles will primarily involve designing precise evaluation criteria and assessing data science deliverables according to established standards. This role is suited for professionals who have worked in top-tier organizations and master analytical best practices.
Posted July 29, 2026
Mercor is recruiting research experts capable of improving and evaluating cutting-edge AI models. You will contribute to creating high-quality training materials (questions, answers, evaluations) for advanced language models. This role is aimed at candidates holding a Master's degree or with 2 to 3 years of experience, with strong research and communication skills.
Posted July 26, 2026
This role involves judging how frontier AI models respond to sensitive and ambiguous topics, checking answers for safety, accuracy and policy compliance. It suits experienced professionals from fields such as psychology, law, science or public policy who can apply safety rubrics and give structured feedback to model developers.
Posted July 16, 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
An AI research organization is seeking advanced users of language models to evaluate the quality of AI responses to complex, contextualized personal tasks. Your role involves judging whether AI systems provide useful, personalized, and realistic advice in areas such as nutrition, health, productivity, or career. This position is for candidates who intensively use AI tools in their daily lives and can identify what makes an AI response relevant or failing.
Posted June 13, 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
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FAQ
598 AI training jobs in the United States are open on SideHustler today. 45 were posted in the last 7 days. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 546 open roles that publish an hourly rate in USD, pay runs from $6 to $400 per hour, with a median of $70. These are the rates the platforms publish, not a guarantee of income or hours.
Mercor (284), micro1 (276), Mindrift (15), Terac (11), Handshake AI (7), xAI (4) and Turing (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are AI Evaluation, Data Annotation, Content Annotation, Multilingual Expertise, Language Evaluation. Each listing states its own requirements.
Each job listed here comes from a posting where the platform publishes the countries it accepts, and United States is among them. 616 other open jobs do not publish their eligible countries: they are in the full catalog but not on this page.
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.
