ContractRemoteExpired

Quantitative Research Expert

micro1 is engaging Quantitative Research Experts to contribute to a customer project focused on advancing real-world AI applications in STEM domains. Apply your technical expertise to help train next-generation AI systems through high-quality, real-world input. No prior AI experience is required; domain expertise is the primary qualification.

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Salary

$80 - $100 / hour

Department

AI & STEM Research

Experience

STEM / Quantitative Research experience

Responsibilities

Demonstrate and document advanced workflows using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork in real technical projects.
Analyze large codebases, debug complex technical issues, and develop novel features using AI agents while clearly explaining the process and decision-making.
Document scenario-based use cases involving architectural changes, ambiguous technical challenges, and sequential AI-generated code outputs.
Submit high-quality written deliverables illustrating the use of AI agents in STEM contexts, including step-by-step workflows and outcomes.
Participate in virtual discussions and feedback sessions to share technical insights and approaches with project stakeholders.
Contribute structured input that helps refine AI models' reasoning and problem-solving capabilities based on real-world technical experience.

Skills

CodexClaude ScienceClaude CodeClaude CoworkAI Coding AgentsTechnical DocumentationDebuggingLarge Codebase AnalysisFeature DevelopmentArchitectural Decision-MakingProblem-SolvingWritten CommunicationVerbal CommunicationScenario-Based AnalysisCode Explanation

Requirements

Current STEM professional with hands-on experience applying AI coding agents within technical workflows.
Proficiency with Codex, Claude Science, Claude Code, and Claude Cowork, particularly for generating sequential outputs rather than chat-based interactions.
Demonstrated ability to solve complex, ambiguous, or open-ended technical problems using AI agentic tools.
Exceptional written and verbal communication skills with a strong focus on clarity and detail in technical documentation.
Experience working with large codebases, debugging, feature development, or substantial architectural changes aided by AI agents.
Ability to distill complex technical processes for AI training purposes and support the creation of educational or evaluative content.
Strong interest in sharing real-world strategies and contributing to the evolution of AI-driven technical problem-solving.
No prior AI experience is required; practical domain expertise is the primary qualification.

Benefits

Remote contractor opportunity
Work on advanced AI and STEM research projects
Contribute real-world technical expertise to next-generation AI systems
Opportunity to influence AI reasoning and problem-solving capabilities
Flexible remote collaboration with project stakeholders

Quantitative Research Expert

Responsibilities

Demonstrate and document advanced workflows using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork in real technical projects.

Analyze large codebases, debug complex technical issues, and develop novel features using AI agents while clearly explaining the process and decision-making.

Document scenario-based use cases involving architectural changes, ambiguous technical challenges, and sequential AI-generated code outputs.

Submit high-quality written deliverables illustrating the use of AI agents in STEM contexts, including step-by-step workflows and outcomes.

Participate in virtual discussions and feedback sessions to share technical insights and approaches with project stakeholders.

Contribute structured input that helps refine AI models' reasoning and problem-solving capabilities based on real-world technical experience.

Requirements

Current STEM professional with hands-on experience applying AI coding agents within technical workflows.

Proficiency with Codex, Claude Science, Claude Code, and Claude Cowork, particularly for generating sequential outputs rather than chat-based interactions.

Demonstrated ability to solve complex, ambiguous, or open-ended technical problems using AI agentic tools.

Exceptional written and verbal communication skills with a strong focus on clarity and detail in technical documentation.

Experience working with large codebases, debugging, feature development, or substantial architectural changes aided by AI agents.

Ability to distill complex technical processes for AI training purposes and support the creation of educational or evaluative content.

Strong interest in sharing real-world strategies and contributing to the evolution of AI-driven technical problem-solving.

No prior AI experience is required; practical domain expertise is the primary qualification.