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Remote Quant Jobs in Minnesota (NOW HIRING)

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Remote Quant information

What is the difference between Remote Quant vs Remote Data Scientist?

AspectRemote QuantRemote Data Scientist
Required credentialsAdvanced degrees in quantitative fields, such as Math, Physics, or FinanceDegrees in Computer Science, Statistics, or related fields
Work environmentFinancial firms, hedge funds, or trading companiesTech companies, startups, or research organizations
Employer usageUsed for developing trading algorithms and risk modelsUsed for analyzing data, building predictive models, and deriving insights

Remote Quants focus on developing quantitative models for finance and trading, often requiring advanced math and finance knowledge. Remote Data Scientists analyze large datasets to extract insights, typically with a background in computer science or statistics. While both roles involve data analysis, Quants are more finance and algorithm-focused, whereas Data Scientists have a broader application scope across industries.

What are the most commonly searched types of Quant jobs in Minnesota? The most popular types of Quant jobs in Minnesota are:
What are popular job titles related to Remote Quant jobs in Minnesota? For Remote Quant jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Quant jobs in Minnesota look for? The top searched job categories for Remote Quant jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Quant jobs? Cities in Minnesota with the most Remote Quant job openings:
Remote Quant jobs near you

Product Development Chemist - AI Trainer - Remote

micro1 AI

Rochester, MN • Remote

$70 - $90/hr

Part-time

Posted 6 days ago

Job description

Role Title: Chemistry Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. 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.


Scope of Work

  1. Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
  2. Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
  3. Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
  4. Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
  5. Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
  6. Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
  7. Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.


Preferred Qualifications

  1. Advanced degree (PhD preferred) in Chemistry or closely related field.
  2. Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
  3. Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
  4. Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
  5. Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
  6. Experience contributing to interdisciplinary projects or cross-functional collaborations.
  7. Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.

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