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Remote Data Scientist

External
Micro1 logoMicro1 · District Heights, MD
ContractOn-site2w ago
Data AnalysisReinforcement Learning
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About the role

Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale. Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We've raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Description Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously imp


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