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 designing and evaluating advanced biology problems to help train AI models to reason rigorously about scientific topics like genetics, biotechnology, and bioinformatics. Masters and PhD holders in biology will apply their domain expertise to assess AI-generated reasoning for scientific accuracy and clarity in a fully remote, flexible contract position.
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 collaborating with an AI training platform to develop and evaluate biology problems, stress-test AI reasoning on genetics and biotechnology topics, and ensure scientific accuracy in AI-generated biological explanations. It is designed for advanced researchers and scientists with deep domain expertise who want flexible, intellectually challenging work without requiring prior AI experience.
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.
This role involves leading data governance initiatives for biotech and clinical trial data to ensure compliance, accuracy, and readiness for AI model training. The position requires bridging scientific, technical, and regulatory teams to establish policies that protect sensitive data while enabling innovation in life sciences and regulatory submissions.
This role involves reviewing and correcting machine-generated audio transcripts in Brazilian Portuguese for AI training purposes. Native speakers with strong listening skills will edit transcripts for accuracy, apply formatting guidelines, and ensure precise timestamps in a fully remote, flexible contract position.
This role involves creating high-quality transcriptions of spoken Brazilian Portuguese audio to train AI systems. The transcriptionist will work with naturally-occurring speech including multiple speakers, background noise, and colloquial expressions, applying detailed formatting guidelines and quality standards.
This role involves helping train and evaluate AI models for business applications by designing complex case studies, authoring gold-standard solutions, and auditing AI reasoning across corporate finance and strategy scenarios. The position is designed for MBA-qualified professionals who can stress-test AI systems on real-world business challenges and ensure outputs meet executive-level standards.
Lead a team of business analysts creating high-quality content to train AI models on business strategy, finance, and operations. This role combines team management, quality assurance, and analytical expertise to develop materials that teach AI systems professional reasoning across multiple business domains.
This role involves leading and mentoring teams of business analysts who create high-quality training content for AI models, with a focus on business, finance, strategy, and operations domains. The position requires strong team management and business analysis expertise to oversee content quality, provide performance feedback, and serve as the stakeholder point of contact for remote contract work.
This role involves designing and evaluating business content used in AI training datasets. Experienced postsecondary business instructors will review AI-generated materials, create realistic scenarios, and provide feedback to improve how AI systems understand and communicate business concepts. The position is fully remote and flexible, suited for educators who want to influence AI development.
A senior C++ engineer will design and build high-performance data pipelines, annotation tooling, and evaluation infrastructure for AI systems. The role involves optimizing backend services for large-scale data processing and quality control in support of model training and validation.
Design and build high-performance C++ systems for AI data pipelines, evaluation workflows, and internal tooling. This role involves optimizing production codebases, developing backend services for data annotation and quality control, and collaborating with research teams to support model training infrastructure.
This role involves designing and optimizing high-performance C++ systems for AI infrastructure, including data pipelines, annotation tooling, and evaluation workflows. The position is ideal for senior C++ engineers who specialize in performance optimization and want to contribute to cutting-edge AI research infrastructure.
A senior C# engineer will design and build high-performance data pipelines, annotation tooling, and evaluation systems for AI model training. The role involves full-stack backend development, system optimization, and collaboration with data and research teams to support production infrastructure for AI labs.
This role involves designing self-contained computational fluid dynamics tasks that train and evaluate AI models on aerodynamics and flow physics reasoning. CFD engineers create problem statements, deterministic scoring systems, and reference solutions without needing machine learning expertise, translating their domain knowledge into precise, automatically gradable engineering challenges.
This role involves designing small, self-contained computational fluid dynamics tasks that train and evaluate AI models on engineering reasoning. CFD engineers create problem statements, scoring mechanisms, and reference solutions to teach AI systems about aerodynamics, boundary conditions, and flow physics, without requiring machine learning expertise.
This role involves annotating and evaluating chemistry content for AI model training. A PhD chemist will label complex chemistry questions, map conceptual relationships, review AI-generated answers, and develop datasets across multiple chemistry subfields to improve frontier AI models.
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.
