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.
A Bengali specialist evaluates and corrects AI-generated Bengali text, focusing on accurate pronoun usage, regional variations, and natural phrasing. The role involves reviewing translations, scoring model outputs, and providing native-speaker feedback to improve AI language understanding.
This role involves evaluating AI models' biological reasoning against established scientific literature. You will write test prompts to probe biological understanding, review AI-generated responses for errors and fabricated citations, and provide scientifically accurate answers based on primary sources when the model's output is inadequate.
This role involves evaluating how well AI models reason through cardiology cases, identifying errors in clinical judgment that could harm patients. Cardiologists will write prompts to test AI reasoning, review AI outputs for accuracy against current guidelines, and provide correct answers when the model errs, serving as the training signal for AI improvement.
Evaluate AI model performance on Catalan translation and localization tasks, assessing translation quality and cultural appropriateness. The role involves reviewing AI-generated outputs, identifying errors, and providing corrections and explanations to improve model training.
This role involves evaluating AI-generated chemical reasoning and responses to identify flawed mechanisms, unsafe procedures, and analytical errors. You will write prompts to test chemical knowledge, review AI outputs for errors, and provide correct expert-level answers with proper attention to safety and experimental conditions.
This role involves evaluating AI-generated contract drafting and redlining to identify logical errors, ambiguities, and one-sided terms that automated systems miss. Contract professionals will draft test prompts, review model outputs for issues like inconsistent definitions and broken cross-references, and rewrite clauses to ensure precise legal language.
This role involves judging how well frontier AI models handle Croatian translation, localization, and cultural nuance on real language projects. The contributor finds errors, explains why they occur, and writes better answers when a model falls short. It is aimed at linguists and bilingual reviewers with professional language experience who want flexible, remote, project-based work.
This role involves evaluating and correcting AI-generated equity research notes on public companies, ensuring that financial models, valuations, and investment theses are internally consistent and meet professional standards. Candidates will review estimates and write-ups, reconcile discrepancies between models and narratives, and produce publishable research notes with sell-side rigor.
As a Financial Reporting Manager, you will evaluate AI-generated financial reporting and technical accounting work for accuracy under US GAAP standards, identifying errors in revenue recognition, lease accounting, business combinations, and SEC disclosures. You will review AI outputs for misapplied standards and missing disclosures, then write correct memos and documentation with proper citations when needed.
Review and evaluate AI model responses across everyday topics for accuracy, helpfulness, and tone. This role requires careful analysis and clear writing to assess output quality and provide ratings based on defined rubrics.
This role involves evaluating AI-generated responses about healthcare administration and operations, including billing, coding, insurance workflows, and compliance. You will write test prompts, review AI outputs for accuracy and feasibility, and provide correct guidance based on practical operational experience.
This role involves evaluating and correcting AI-generated Hebrew text, focusing on grammatical accuracy, gender agreement, and appropriate register. You will review translations, rate model outputs, and write improved versions to train AI systems to handle Hebrew's linguistic complexities.
This role involves judging how frontier AI models handle Icelandic translation, localization, and cultural nuance on real projects. The reviewer rates model outputs, pinpoints errors, and explains why they happen. It suits people with professional language expertise who can write clear English explanations.
This role involves evaluating AI systems that price insurance risks and make claims decisions by reviewing underwriting logic, policy language interpretation, and risk assessment. Insurance professionals will verify whether AI models correctly apply underwriting principles, pricing models, and policy terms, then provide written feedback to improve model training.
Review and evaluate AI-generated investment banking deal analysis, including valuation models, transaction mechanics, and M&A structures. Provide expert feedback and corrections to train AI models on real banking standards and practices.
Evaluate AI model outputs on Kannada translation and localization tasks, identifying errors and providing high-quality corrections. The role involves reviewing real-world language work, analyzing model failures, and contributing to AI training data through detailed linguistic assessment.
Evaluate AI-generated legal work on litigation matters including pleadings, discovery, and motions by checking citations, holdings, procedural rules, and standards of review. Create test prompts for litigation scenarios and rewrite AI outputs to meet court-quality standards when necessary.
This role involves evaluating and correcting AI-generated Malay text, focusing on register (formal versus colloquial), regional accuracy (Malaysian versus Indonesian), and proper use of affixes. You will review translations, score model outputs, and write improved versions to train the model to produce natural, native-quality Malay.
Evaluate AI model outputs for Malayalam translation, localization, and cultural accuracy on real-world projects. Review frontier models, identify errors, rate quality, and write corrections to help train the next generation of AI systems.
This role involves evaluating AI systems on their understanding of managed care operations, including benefit determination, prior authorization, and payer contracts. You'll identify errors in AI-generated coverage decisions and write correct guidance based on real-world managed care practices to improve AI training.
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.
