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As AI systems strive to reflect real-world usage and deliver human-like communication, their accuracy depends entirely on rigorous linguistic and cultural consultation. The objective of this project is to evaluate, annotate, and validate data to ensure high-quality outputs that are fully natural, polished, and free from bias. Project Deliverables & Scope Operate autonomously to provide linguistic QA and develop alignment resources. Expected deliverables include: Data Annotation & Review: Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context. Quality Assurance & Vetting: Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the target language. Resource Generation: Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations. 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Advanced Urdu Fluency (EST) Remote AI Trainer - Advanced Urdu Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. 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By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth - personal, professional, and financial - is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission - operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today - and we're just getting started. Role Overview Harvey's products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. 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Member of Technical Staff San Francisco, CA About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. 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Large-scale language models are evolving from clever chatbots into powerful engines of linguistic intelligence. With high-quality training data, tomorrow's AI can deliver accurate, context-aware translations, enhance cross-cultural communication, and support learners and professionals around the world. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for Hebrew translators with a strong command of both Hebrew and English who can assess and refine AI-generated translations for grammatical accuracy, fluency, cultural nuance, and context sensitivity. You'll challenge the model with idiomatic expressions, ambiguous phrases, formal and informal tones, and real-world scenarios-documenting model failures and providing insight to improve translation quality and consistency. On a typical day, you will evaluate and edit AI outputs, translate between Hebrew and English in both directions, annotate errors, provide cultural or contextual explanations, and suggest improvements to prompts, evaluation methods, and model behavior. A background in professional translation, linguistics, localization, or language education is ideal. Experience with technical, literary, or media translation is a strong signal of fit. Clear, reflective communication and an ability to articulate translation decisions are essential. Ready to turn your translation expertise into the foundation for tomorrow's AI? Apply today and help train the model that will teach the world. 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