STEM / Quant Bachelor

Frontier AI Lab; United States; Remote; USD 34,000 - 69,000; Full time

Job summary

Remotebridge is seeking a STEM/Quant Bachelor contractor to contribute to a customer project by annotating and reviewing educational content across math, physics, chemistry, finance, and economics. No AI experience required beyond your domain expertise, and you will work remotely with a diverse team.

The role emphasizes clear written and verbal communication, thorough feedback in long multi-turn chats, and evaluating two long-form responses for clarity and accuracy.

Qualifications

• Bachelor's degree in math, science, engineering, economics, finance, or related field, or equivalent experience.
• Strong quantitative analysis and problem-solving skills.
• Proficiency in Python and familiarity with finance & economics concepts.
• Native or near-native written English with clarity and precision.
• Demonstrated ability in careful reading and analysis of complex, multi-turn conversations.
• Experience with annotation, educational content review, or similar work involving detailed feedback is strongly preferred.

Responsibilities

• Analyze and annotate a range of school-level and introductory college math, physics, chemistry, finance, and economics homework problems.
• Review, edit, and provide feedback on annotated materials to ensure consistency and accuracy.
• Collaborate via written and verbal discussions in long multi-turn chat sessions, providing thorough, well-reasoned responses.
• Compare and assess two long-form responses side by side, evaluating clarity, correctness, and pedagogical value.
• Document reasoning and highlight common misconceptions or errors in learning materials.
• Contribute domain expertise to help refine AI model understanding in quantitative subjects.

Skills

Quantitative analysis

Problem-solving

Written communication

Attention to detail

Education

Bachelor's degree in math/science/engineering/economics/finance

Tools

Python

Job description

Role Title: STEM / Quant Bachelor

Role Type: Contractor

Location: Remote

Our team is engaging STEM / Quant Bachelors to contribute their expertise on a leading-edge customer project. 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. This is a unique opportunity to leverage your STEM, finance, or quantitative background in a highly impactful context, annotating and reviewing educational content across math, physics, chemistry, finance, and economics. Clear, thoughtful written and verbal communication is central to this engagement, as project success depends on both the accuracy and clarity of your insights.

Scope of Work

• Analyze and annotate a range of school-level and introductory college math, physics, chemistry, finance, and economics homework problems.
• Review, edit, and provide feedback on annotated materials to ensure consistency and accuracy.
• Collaborate via written and verbal discussions in long multi-turn chat sessions, providing thorough, well-reasoned responses.
• Compare and assess two long-form responses side by side, evaluating clarity, correctness, and pedagogical value.
• Document reasoning and highlight common misconceptions or errors in learning materials.
• Contribute domain expertise to help refine AI model understanding in quantitative subjects.

Preferred Qualifications

• Bachelor's degree in math, science, engineering, economics, finance, or related field, or equivalent experience.
• Solid grounding in quantitative analysis and problem-solving.
• Proficiency in Python and familiarity with finance & economics concepts.
• Native or near-native command of written English with emphasis on clarity and precision.
• Demonstrated ability in careful reading and analysis of complex, multi-turn conversations.
• Experience with annotation, educational content review, or similar work involving detailed feedback is strongly preferred.
• Comfortable collaborating remotely with diverse teams and adapting feedback into actionable improvements.