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Data Science Specialist - Fully Remote | Up to $150/hr

mercor · Удалённо · United Kingdom · 100 — 150 USD

# Data Science Specialist - Fully Remote | Up to $150/hr **mercor** · United Kingdom · `Remote` · `Contractor` 💼 **Уровень роли:** `Mid-level` 💰 **Компенсация:** `$100 – $150` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Scientist]` `[Data-Science-Specialist]` `[AI-Evaluator]` `[Data-Science-Expert]` `[Machine-Learning-Specialist]` `[Remote-Data-Science]` `[Data-Science]` --- ### About the Role About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Data Science Expert Type: Contract Compensation: $100–$150/hour Location: Remote Role Responsibilities Evaluate AI-generated artifacts for usability in data science contexts. Identify and correct factual, aesthetic, and presentation errors. Provide clear, structured written feedback to improve AI model outputs . Collaborate with AI research teams to enhance training data quality. Work independently and asynchronously to meet deadlines. Qualifications Must-Have 5+ years of relevant professional experience in Data Science at a top firm in the United States , United Kingdom , Canada , Australia , or New Zealand . Native or professional fluency in English . Highly proficient in Microsoft Office and Google Workspace (PowerPoint, Excel, Word). Preferred Advanced degree ( Master's or higher) from a reputable institution. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas

Наблюдалась 2026-09-27, впервые 2026-09-27, источник — Himalayas (JSON API).

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