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Remote Quant information
What is the difference between Remote Quant vs Remote Data Scientist?
| Aspect | Remote Quant | Remote Data Scientist |
|---|---|---|
| Required credentials | Advanced degrees in quantitative fields, such as Math, Physics, or Finance | Degrees in Computer Science, Statistics, or related fields |
| Work environment | Financial firms, hedge funds, or trading companies | Tech companies, startups, or research organizations |
| Employer usage | Used for developing trading algorithms and risk models | Used 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 California? The most popular types of Quant jobs in California are:
What are popular job titles related to Remote Quant jobs in California? For Remote Quant jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Quant jobs in California look for? The top searched job categories for Remote Quant jobs in California are:
What cities in California are hiring for Remote Quant jobs? Cities in California with the most Remote Quant job openings:
$120/hr
Full-time
Re-posted 25 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.