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 optimizing high-performance C backend systems and data pipelines for AI model training and evaluation. The position is ideal for experienced full-stack engineers who want to build production-grade infrastructure used by leading AI research organizations.
This role involves designing and optimizing Python-based backend systems for data annotation, validation, and AI model training infrastructure. The position requires a senior full-stack engineer to build high-performance data pipelines, asynchronous task queues, and evaluation systems used by leading AI labs.
This role involves building and optimizing high-performance backend systems and tooling in Rust to support AI data pipelines, annotation workflows, and evaluation systems. You will work on production infrastructure that powers advanced AI model training, collaborating with research and engineering teams on scalable solutions.
This role involves evaluating and improving AI systems trained on Bengali-language content by reviewing AI-generated translations and original content for accuracy, naturalness, and cultural appropriateness. Native or near-native Bengali speakers will provide linguistic feedback to shape how AI understands and communicates in Bengali across various contexts.
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 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.
This role involves evaluating AI-generated text for quality, accuracy, and appropriateness across diverse topics. Content reviewers provide structured feedback to help improve AI tools used by millions, working independently on a flexible remote schedule.
This role involves evaluating AI-generated conversations for naturalness, tone, and quality. Analysts will rate dialogue responses, identify issues like awkward phrasing or logical inconsistencies, and provide structured evaluations using rubrics. The position requires strong language instincts and critical judgment but no prior AI or technical background.
This role involves reading and evaluating AI-generated creative writing across multiple genres, assessing literary qualities such as style, coherence, tone, originality, and engagement. Evaluators provide constructive feedback to improve AI writing systems, requiring a strong grasp of language and the ability to articulate what makes writing effective.
This role involves designing realistic customer support task scenarios and evaluation rubrics for AI agent training. You will author ticket triage tasks, create scoring rubrics, set up task environments, and calibrate difficulty to ensure AI models learn to make sound support decisions similar to experienced professionals.
This role involves evaluating and improving AI systems' understanding and generation of Czech-language content. You will review AI-generated Czech translations and original content, identify linguistic issues, and provide structured feedback to enhance the quality and cultural appropriateness of AI outputs in Czech.
This role involves evaluating and improving AI systems' understanding of Danish language by reviewing AI-generated translations and original content. Danish language experts will assess linguistic accuracy, naturalness, cultural appropriateness, and provide detailed feedback to shape how AI communicates in Danish.
A senior C++ engineer is needed to design and optimize high-performance data pipelines, annotation tooling, and evaluation systems for leading AI research teams. This fully remote contract role involves full-stack development, system optimization, and collaboration with data and research teams on production-grade infrastructure.
Design and build high-performance Rust systems for AI data infrastructure, including data pipelines, annotation tooling, and evaluation systems that support large-scale AI research. This is a fully remote contract role for senior engineers with deep expertise in systems optimization and concurrent programming.
A senior Python engineer will design and optimize high-performance data pipelines, annotation tooling, and evaluation systems for AI model training at scale. This fully remote contract role requires building full-stack infrastructure that processes large datasets and supports research workflows across distributed teams.
This role involves designing, building, and scaling infrastructure systems that power AI products and services. Senior software engineers will work on production-grade systems supporting AI training, evaluation, and deployment pipelines, writing clean and performant code while collaborating with ML engineers and researchers in a remote, autonomous environment.
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.
