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Remote Entry Level Quantitative Researcher Jobs in Jefferson, GA

micro1 AI

AI Training Specialist - Chemistry

Athens, GA · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Conduct qualitative and quantitative chemical analyses and experiments to support product ...

All JobsQuantitative Researcher JobsRemote Entry Level Quantitative Researcher JobsRemote Entry Level Quantitative Researcher Jobs in Jefferson, GA

Remote Entry Level Quantitative Researcher information

See Jefferson, GA salary details

$48.5K

$110.2K

$181.7K

How much do remote entry level quantitative researcher jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote entry level quantitative researcher in Jefferson, GA is $110,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,600.00 and $141,000.00 per year, depending on experience, location, and employer.

What is a remote entry level quantitative researcher?

A Remote Entry Level Quantitative Researcher is a professional who analyzes numerical data, develops statistical models, and helps solve complex problems for a company or organization while working from a remote location. This role typically involves tasks such as data collection, statistical analysis, and supporting research projects under the supervision of senior researchers. Entry level positions are designed for recent graduates or those new to the field, providing training and mentorship to build foundational quantitative skills. Working remotely allows for flexible location and often involves collaborating with teams through digital communication tools.

What are the key skills and qualifications needed to thrive as a remote entry level quantitative researcher?

To thrive as a Remote Entry Level Quantitative Researcher, you need strong analytical skills, a solid foundation in statistics or mathematics, and at least a bachelor's degree in a quantitative field such as mathematics, statistics, computer science, or economics. Familiarity with programming languages like Python or R, data analysis tools, and statistical software (e.g., MATLAB, SAS, or Stata) is typically required. Critical thinking, attention to detail, and effective remote communication are important soft skills for collaborating with teams and presenting research findings. These skills ensure accurate data analysis and effective problem-solving, which are vital for generating actionable insights in a remote research environment.

What are some common challenges faced by remote entry level quantitative researchers, and how can they be overcome?

Remote entry level quantitative researchers often encounter challenges such as limited access to immediate mentorship, difficulties in collaborating on complex data-driven tasks, and the need for effective self-management. To overcome these, it's helpful to proactively schedule regular check-ins with more experienced team members, utilize collaborative tools for data analysis, and maintain clear documentation of your work. Embracing open communication and seeking feedback can also help bridge the gap created by physical distance, ensuring both professional growth and successful project outcomes.

What is the difference between Remote Entry Level Quantitative Researcher vs Remote Data Analyst?

AspectRemote Entry Level Quantitative ResearcherRemote Data Analyst
Required CredentialsBachelor's in Math, Statistics, or related field; some roles may prefer internshipsBachelor's in Data Science, Statistics, or related field; certifications like SQL or Excel often preferred
Work EnvironmentResearch-focused, often in finance, tech, or consulting firms; collaborative teamsData-focused, in various industries including finance, healthcare, and marketing; often cross-functional teams
Employer & Industry UsageCommon in finance, tech, and consulting sectors; entry-level roles for research projectsWidespread across industries; entry-level roles for data analysis and reporting

Remote Entry Level Quantitative Researchers focus on developing models and analyzing data for research purposes, often in finance or tech. Remote Data Analysts interpret data sets to inform business decisions. While both roles require similar educational backgrounds, the researcher emphasizes modeling and theoretical analysis, whereas the analyst concentrates on data interpretation and reporting.

What cities near Jefferson, GA are hiring for Remote Entry Level Quantitative Researcher jobs?

Cities near Jefferson, GA with the most Remote Entry Level Quantitative Researcher job openings:

Remote Entry Level Quantitative Researcher jobs near you

Product Development Chemist - AI Trainer - Remote

micro1 AI

Athens, GA • Remote

$70 - $90/hr

Part-time

Re-posted 10 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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