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Powered by currency-grade big data and a best-in-class technology stack, our platform gives advertisers, agencies, and digital partners the ability to plan, optimize, and measure media investments across every screen - from linear TV and OTT to CTV and digital video. VideoAmp is accelerating investment in agentic AI and intelligent optimization technologies - helping clients drive measurable, real-world outcomes in an increasingly complex media landscape. With 880% year-over-year measurement growth, 98% coverage of the TV ecosystem, and partnerships with 11 agency groups and 1,000+ advertisers, we're not just keeping pace with the industry - we're defining what comes next. 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AI Trainer Project- Freelance India Are you a mathematics expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline problem-solving for mathematicians everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for mathematics specialists who live and breathe algebra, calculus, number theory, geometry, probability, statistics, linear algebra, differential equations, real analysis, mathematical modeling, and discrete mathematics. You'll challenge advanced language models on topics like multivariable calculus, cryptography, optimization techniques, machine learning algorithms, mathematical proofs, set theory, combinatorics, and stochastic processes-documenting every failure mode so we can harden model reasoning. 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Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline problem-solving for mathematicians everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for mathematics specialists who live and breathe algebra, calculus, number theory, geometry, probability, statistics, linear algebra, differential equations, real analysis, mathematical modeling, and discrete mathematics. You'll challenge advanced language models on topics like multivariable calculus, cryptography, optimization techniques, machine learning algorithms, mathematical proofs, set theory, combinatorics, and stochastic processes-documenting every failure mode so we can harden model reasoning. 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https://www.linkedin.com/in/abhikpramanik/, Ashby's Co-Founder and VP of Engineering. 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A leader in consumer insights for over 60 years, MRI‑Simmons possesses one of the few data sets widely used across the media ecosystem for consumer profiling, media planning, audience research, and insight‑driven audience development. Powered by address‑based probabilistic sampling, MRI‑Simmons measures real people, chosen at random, to represent the U.S. population in all its diversity-resulting in the most accurate view of the American consumer. What We Do: We empower marketers, advertising agencies and media companies to turn deep consumer understanding into smarter strategies, targetable segmentation, and more effective advertising campaigns across all media channels: linear TV, Connected TV, Digital, and Social. We enrich customer first-party data to enable more comprehensive consumer profiling and activation. 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Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline academic work for students and professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for mathematics specialists who live and breathe algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on classroom problems and theoretical mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in mathematics or a closely related quantitative field is ideal; peer‑reviewed publications, teaching experience, research in pure or applied mathematics, or hands‑on experience with mathematical modeling signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your mathematics expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. 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