1234 open jobs
Open roles in AI training, model evaluation, RLHF and data labeling for domain experts. Search, filter, then apply directly on Mercor, micro1, Turing, Ethos, Mindrift, DataAnnotation, Alignerr, Handshake AI, Surge AI, xAI, Vetto or Terac.
This role involves analyzing security vulnerabilities and threat scenarios in AI systems and large language models to identify weaknesses and recommend mitigations. Security professionals will conduct adversarial testing, evaluate real-world attack scenarios, and provide structured feedback to improve AI safety and resilience.
An experienced penetration tester will conduct offensive security assessments against AI-powered applications, infrastructure, and machine learning pipelines to identify vulnerabilities including prompt injection, model manipulation, and data poisoning attacks. The role involves simulating real-world attack scenarios, documenting findings with remediation guidance, and evaluating AI-specific security risks in a fully remote, flexible contract engagement.
This role involves conducting penetration tests and security assessments on AI-powered applications, infrastructure, and machine learning pipelines to identify vulnerabilities and weaknesses before malicious actors exploit them. The position suits experienced offensive security professionals who can work independently on contract-based engagements to stress-test AI systems and document findings with clear remediation guidance.
An AI Red Team Analyst probes and stress-tests AI systems to identify security vulnerabilities, craft adversarial prompts, and evaluate model safety before bad actors can exploit them. This remote contract role suits security-minded professionals who combine cybersecurity expertise with hands-on experience testing large language models and AI systems.
Penetration testing experts are needed to identify security vulnerabilities in AI-powered applications and infrastructure through offensive security testing. This remote contract role combines traditional penetration testing methodologies with emerging AI-specific attack scenarios such as prompt injection and model manipulation.
Join an AI red team as a penetration testing expert to identify vulnerabilities in AI-powered applications and infrastructure through offensive security testing. This remote, flexible role involves conducting penetration tests, simulating attacks, and evaluating AI-specific security risks to help secure AI systems at scale.
This role involves red-teaming and security testing of AI models to identify vulnerabilities and safety issues before deployment. The position is ideal for cybersecurity professionals who want to apply adversarial thinking and penetration testing skills to AI systems used at scale.
This role focuses on stress-testing and securing AI models by identifying vulnerabilities through red-teaming and adversarial testing. The position suits cybersecurity professionals who want to apply penetration testing and ethical hacking expertise to emerging AI security challenges.
This role involves conducting penetration tests and security assessments on AI-powered applications, infrastructure, and ML pipelines to identify vulnerabilities and attack vectors. The position suits experienced offensive security professionals who want to work on cutting-edge AI security challenges while maintaining flexibility as an independent contractor.
This role involves conducting security testing and red-teaming exercises on AI systems to identify vulnerabilities, weaknesses, and failure modes. The position is designed for security professionals who can think like attackers and use creative methods to stress-test AI models and evaluate their safety, bias, and policy compliance.
This role involves conducting penetration tests and security assessments on AI-powered applications, infrastructure, and machine learning pipelines to identify vulnerabilities and attack vectors. The position is ideal for experienced offensive security professionals who want to apply their hacking expertise to emerging AI security challenges in a fully remote, flexible contract setting.
This role involves conducting security testing and red-teaming exercises on advanced AI models to identify vulnerabilities, design adversarial prompts, and evaluate safety failures. The specialist will document findings and collaborate with engineering teams to strengthen AI system resilience and reliability.
Lead a team of Spanish-speaking business analysts creating high-quality training content for AI models across finance, strategy, and economics domains. This remote role combines people management, domain expertise, and content development for an AI training platform, requiring business analysis experience and team leadership skills.
This role involves translating mathematical proofs into machine-verifiable Lean 4 formalizations for an AI research organization. Mathematicians with formal proof system experience will work on bridging informal mathematical arguments and automated reasoning, identifying gaps in current verification tools and helping advance mechanized mathematics at the intersection of AI and rigorous proof.
This role involves evaluating and improving large language models' understanding of physics by designing advanced problems, authoring ground-truth solutions, and auditing AI-generated reasoning across quantum mechanics, electrodynamics, thermodynamics, and other domains. It is suited for PhD-level applied physicists who want to contribute to AI training while working independently on a flexible schedule.
This role involves helping train and refine AI models on biochemistry topics by designing test problems, writing ground-truth solutions, and evaluating AI-generated scientific reasoning. The position is ideal for PhD-level biochemists who want to apply their expertise to AI development while working flexibly on a remote, hourly contract basis.
This role involves evaluating and improving AI models' understanding of biology by designing rigorous problems, developing solutions, and assessing AI-generated outputs for scientific accuracy and reasoning quality. It is designed for biology researchers and academics who can work independently on a flexible, remote contract basis.
This role involves creating and evaluating biology problems to test and improve AI models' scientific reasoning capabilities. Biology masters-level experts will design rigorous test cases, assess AI outputs for accuracy, and provide feedback to enhance model performance across various biology domains.
This role offers biologists with advanced degrees the opportunity to contribute to AI model training by developing rigorous biology problems, evaluating AI-generated scientific content, and ensuring scientific accuracy in AI reasoning. Remote and flexible, it leverages deep domain expertise to shape how AI systems approach complex problems in genetics, biotechnology, and bioinformatics.
This role involves creating and evaluating biology content to train and benchmark AI models. Biology experts with advanced knowledge will design questions, develop solutions, assess AI-generated responses, and provide feedback to improve model performance across undergraduate to graduate-level topics.
FAQ
AI training, model evaluation, RLHF, red teaming, data labeling and expert review roles, in fields from software and data science to medicine, law, finance, languages and science.
They are done online. Some are limited to residents of certain countries: when the platform publishes that restriction, the listing shows it.
Usually not. Most roles ask for professional experience in your own field. Each listing states the experience the platform requires.
By the hour or by the task, by the platform that hires you. We show the pay only when the platform publishes it. It is not a guarantee of income or hours.
Apply now opens the official posting on Mercor, micro1, Turing, Ethos, Mindrift, DataAnnotation, Alignerr, Handshake AI, Surge AI, xAI, Vetto or Terac, where you complete the application. You need no account here. See how it works.
