Quantitative Trader

DataAnnotation

Join DataAnnotation as a Quantitative Trader to validate AI-generated analyses and solve technical problems while working remotely on your own schedule.

Last checked on June 14, 2026. We may earn a commission when you click through.

DataAnnotation offers a unique opportunity for quantitative traders to shape AI development, but it requires a solid understanding of analytics.

✓ Flexible work environment ✓ Direct impact on AI model development ✓ Opportunity to work with cutting-edge technology

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Quantitative Trader

DataAnnotation

Updated 1 month ago

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Santa Fe Remote Full-Time

DataAnnotation offers a unique opportunity for quantitative traders to shape AI development, but it requires a solid understanding of analytics.

About this role

Join DataAnnotation as a Quantitative Trader to validate AI-generated analyses and solve technical problems while working remotely on your own schedule.

About the Company

DataAnnotation is focused on developing advanced AI systems, leveraging real-world expertise to enhance AI capabilities.

Key Highlights

✓ Work remotely with a flexible schedule
✓ Collaborate with state-of-the-art AI models
✓ Contribute to real-world quantitative validation
✓ Engage in technical problem-solving

💡 Honest Take: This role is ideal for experienced quantitative professionals but may not suit those without a strong background in data analysis.

Pros

✓ Flexible work environment
✓ Direct impact on AI model development
✓ Opportunity to work with cutting-edge technology

Cons

✗ Requires significant quantitative expertise
✗ Remote work may not suit everyone's preferences
✗ No salary details provided

Best For: Ideal for those with a strong analytical background and experience in data-driven roles.

Watch Out: Lack of salary transparency may be a concern for potential applicants.

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Expert Review

The role of Quantitative Trader at DataAnnotation is particularly appealing for those with a background in quantitative analysis. It allows professionals to engage with AI models while working remotely, offering a flexibility and innovation. Candidates will find a stimulating environment where their real-world experience is crucial in validating AI-generated outputs.

DataAnnotation focuses on enhancing AI capabilities through practical applications. As a member of their team, you'll be tasked with evaluating complex analytical outputs and providing feedback that influences AI reasoning processes. This a standard data role; it requires a deep understanding of quantitative methodologies and their application in real-world scenarios.

While the flexibility and remote work are significant advantages, that the position demands substantial expertise in quantitative analysis. Those without this background may find it challenging to succeed in this role. the lack of disclosed salary information could deter potential applicants who prioritize compensation transparency. Interested individuals can learn more about this opportunity by visiting DataAnnotation's official page.