2

Remote Quantitative Researcher Jobs in California

About the job Mercor connects elite creative and technical talent with leading AI research labs ... quantitative readouts Evaluator Type: Contract Compensation: $80-$120/hour Location: Remote Role ...

AI Researcher

San Jose, CA ยท On-site +1

$180K - $350K/yr

Hume AI is seeking talented AI researchers interested in working with our team to build state-of-the-art speech-language models (SLMs). Our new SLM training method-reinforcement learning from human ...

Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve ... Research, Product Analytics, Data Engineering and others. The results of your work will influence ...

Data Scientist, Technical Lead

Berkeley, CA ยท On-site +1

$210K - $260K/yr

Exposure to financial markets, trading systems, or quantitative research environments. * Familiarity with production monitoring systems, data quality pipelines, or analytics platform development * 7+ ...

Showing results 41-60

Remote Quantitative Researcher information

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

To thrive as a Remote Quantitative Researcher, you need strong analytical skills, advanced mathematical or statistical knowledge, and typically a degree in a quantitative field such as mathematics, statistics, or economics. Expertise in programming languages like Python or R, experience with statistical modeling tools, and familiarity with data analysis platforms are commonly required. Excellent problem-solving abilities, attention to detail, and clear written communication are standout soft skills for this role. These competencies enable effective remote collaboration, high-quality research output, and the ability to draw actionable insights from complex data.

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

AspectRemote Quantitative ResearcherRemote Data Analyst
Required CredentialsTypically requires a master's or Ph.D. in statistics, mathematics, or related fieldsOften requires a bachelor's or master's in data science, statistics, or related areas
Work EnvironmentConducts research, develops models, and analyzes large datasets for research projectsFocuses on interpreting data, creating reports, and supporting business decisions
Employer & Industry UsageUsed in academia, research institutions, and R&D departments of tech and finance firmsCommon in corporate, marketing, finance, and healthcare sectors

While both roles involve data analysis, Remote Quantitative Researchers primarily focus on developing models and conducting research, often requiring advanced degrees. Remote Data Analysts interpret data to inform business decisions, typically with a broader range of educational backgrounds. Both roles are essential in data-driven industries but serve different functions within organizations.

How does a remote quantitative researcher typically collaborate with team members across different time zones?

As a Remote Quantitative Researcher, effective collaboration across time zones is essential and often facilitated through asynchronous communication tools like Slack, email, and project management platforms. Regularly scheduled virtual meetings, such as weekly stand-ups or brainstorming sessions, help maintain alignment and foster teamwork. Sharing code, data, and research findings via cloud-based repositories ensures transparency and accessibility for all team members. Flexibility in working hours and clear documentation of methodologies also play a key role in minimizing misunderstandings and keeping projects on track.

Do remote quantitative researchers work remotely?

Remote quantitative researchers typically work from home or other remote locations, utilizing data analysis tools, programming languages, and communication platforms. Their work environment is flexible, and many roles are fully remote, especially in organizations that prioritize digital collaboration and data-driven decision-making.

What is a remote quantitative researcher?

A Remote Quantitative Researcher is a professional who analyzes and interprets numerical data to help organizations make informed decisions, typically from a remote location. They use statistical methods, mathematical models, and computer algorithms to identify patterns, test hypotheses, and generate insights. These researchers often work in fields such as finance, economics, healthcare, and social sciences. By working remotely, they leverage digital tools to collaborate with teams and access data, enabling flexibility and access to global opportunities.
What are the most commonly searched types of Quantitative Researcher jobs in California? The most popular types of Quantitative Researcher jobs in California are:
What are popular job titles related to Remote Quantitative Researcher jobs in California? For Remote Quantitative Researcher jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Quantitative Researcher jobs in California look for? The top searched job categories for Remote Quantitative Researcher jobs in California are:
What cities in California are hiring for Remote Quantitative Researcher jobs? Cities in California with the most Remote Quantitative Researcher job openings:
Infographic showing various Remote Quantitative Researcher job openings in California as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution.

Data Analysis Expert - Evaluator

Mercor

San Francisco, CA โ€ข Remote

$80 - $120/hr

Full-time

Re-posted 29 days ago


Job description

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 analysis / quantitative readouts Evaluator
Type: Contract
Compensation: $80–$120/hour
Location: Remote

Role Responsibilities

  • Evaluate AI-generated artifacts against domain-specific quality rubrics.
  • Identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks.
  • Provide clear, structured written feedback to improve AI model outputs.
  • Apply deep subject-matter expertise to grade outputs for accuracy and rigor.
  • Work independently and asynchronously to meet deadlines while enhancing domain quality.

Qualifications

Must-Have

  • 5+ years of relevant professional experience in Data analysis / quantitative readouts.
  • Native or professional fluency in English.
  • Highly proficient in Microsoft Office and Google Workspace, especially Slides.

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: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.