1853 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 evaluating and reviewing code generated by AI systems across multiple programming languages, identifying bugs, logical errors, and inefficiencies. The position is designed for individuals with coding knowledge who can assess code quality and provide constructive feedback to improve AI-generated outputs, regardless of formal background.
This role involves reviewing and evaluating C++ code generated by AI systems to assess its correctness, efficiency, and style. You will provide detailed feedback to help train AI models to better understand C++ programming across various domains and difficulty levels.
This role involves reviewing and evaluating AI-generated Go code, writing clean Go solutions for backend problems, and creating coding challenges to test AI model capabilities. It is ideal for experienced Go developers who want to contribute to the training and improvement of AI coding models.
Review and evaluate AI-generated Java code for correctness and efficiency, and write high-quality Java solutions to coding problems at varying difficulty levels. This role is ideal for Java developers who can also provide clear explanations of code logic and problem-solving strategies to support AI model training.
Review and evaluate AI-generated JavaScript code for correctness and efficiency, and write high-quality JavaScript solutions to coding problems. Create clear explanations for code logic and identify edge cases. This role is ideal for JavaScript experts who want to contribute to improving AI models.
Review and evaluate AI-generated Rust code for correctness, memory safety, and idiomatic practices. Create high-quality coding problems and provide structured feedback to improve AI model performance. This role is ideal for experienced Rust developers who want to shape how AI systems understand systems programming.
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 and stress-testing AI-generated cybersecurity content to ensure accuracy and safety. Cybersecurity Defence Analysts review threat analyses, incident response plans, and defensive recommendations while identifying errors and dangerous hallucinations, helping ensure AI systems provide trustworthy security guidance.
This role involves evaluating and stress-testing AI-generated cybersecurity content to ensure accuracy and safety. Cybersecurity Defense Analysts will review threat analyses, incident response plans, and defensive strategies produced by AI systems, identifying errors and dangerous misconceptions while providing detailed feedback to improve AI security guidance.
This role involves evaluating and stress-testing AI-generated cybersecurity content to ensure accuracy and safety. Cybersecurity experts with hands-on defense experience will review threat analyses, incident response plans, and security recommendations, identifying errors and gaps that could lead to real harm in production environments.
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.
This role involves evaluating and improving AI systems trained on development economics content by reviewing explanations, scenarios, and reasoning. Development economists assess the accuracy and quality of AI outputs on topics like poverty, inequality, and global development, ensuring the AI communicates economic concepts with appropriate depth and nuance.
This role involves reading, annotating, and classifying diverse documents to help train AI systems understand written text. Specialists work remotely and flexibly, applying structured annotation frameworks to structured and unstructured content across various industries and topics.
This remote contract role asks native Dutch speakers to hold spoken phone-style conversations with an AI receptionist for a doctor's office while playing fictional patients. Contributors then review transcripts and grade how well the system listens, replies and triggers the right actions. It suits people with clear speech and careful attention to detail who want flexible, task-based work.
You will hold spoken Dutch phone-style conversations with an AI receptionist for a medical office, playing a fictional patient. You then grade how well the system listens, replies, and triggers the right actions. The role suits native Dutch speakers with a clear voice and a good ear for natural speech.
Review, categorize, and refine product data for AI-powered shopping and recommendation systems. This role involves evaluating product listings, AI-generated descriptions, and ensuring data quality to improve product discovery. Ideal for detail-oriented individuals comfortable with online platforms and structured data.
This role involves reviewing and validating econometric questions, models, and explanations used in AI training datasets. Instructors with expertise in econometrics and quantitative economics will assess statistical accuracy, identify errors in AI-generated economic reasoning, and provide structured feedback to improve model outputs. The work is remote and asynchronous, suited for experienced econometrics educators.
An experienced postsecondary economics instructor evaluates and improves AI systems by designing questions, reviewing AI-generated content, and providing expert feedback on economic reasoning and explanations. This remote role leverages teaching expertise to enhance how artificial intelligence communicates economic concepts to learners and professionals.
This role involves annotating clinical data from Electronic Health Records to train AI systems. Clinically knowledgeable professionals will review and label medical information including diagnoses, procedures, and clinical notes to improve AI understanding of healthcare data.
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.
