ContractRemoteExpired

Data-heavy Chemistry/Materials Science Expert

micro1 is engaging Data-heavy Chemistry/Materials Science Experts to contribute to a cutting-edge customer project centered on leveraging AI agents for scientific advancement. Apply your scientific expertise to help train next-generation AI systems through authentic, high-quality technical workflows. No prior AI experience is required; domain expertise is the primary qualification.

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Salary

$80 - $100 / hour

Department

AI Training & Scientific Research

Experience

Advanced STEM expertise or equivalent professional experience

Responsibilities

Deliver comprehensive, data-rich insights based on experience in chemistry or materials science, especially where AI coding agents have been integrated into technical workflows.
Document real-world scenarios involving AI agents for large codebase navigation, challenging debugging, feature development, and architectural modifications.
Compose clear and detailed written accounts and participate in feedback sessions explaining scientific methodologies and the impact of AI tools on technical problem-solving.
Evaluate the effectiveness and limitations of AI agents in scientific workflows and provide actionable recommendations for improving AI systems in STEM contexts.
Collaborate remotely with the project team to share domain-specific expertise and facilitate knowledge transfer through written and verbal communication.
Contribute to datasets and training materials that reflect authentic chemistry and materials science practices using AI code-generation tools.
Identify complex technical challenges and case studies where AI coding agents enhanced productivity or enabled new scientific outcomes.

Skills

Chemistry Domain ExpertiseMaterials Science Domain ExpertiseAI Coding AgentsComputational ChemistryLaboratory AutomationLarge Codebase NavigationDebugging Complex CodeTechnical DocumentationScientific Problem-SolvingAnalytical ThinkingCritical ThinkingVerbal CommunicationWritten CommunicationRemote Collaboration

Requirements

Advanced degree or equivalent professional experience in chemistry, materials science, chemical engineering, or a closely related STEM field.
Proven proficiency with AI coding agents including Codex, Claude Science, Claude Code, and Claude Cowork for generating code sequences in scientific environments.
Ability to apply AI agents beyond basic code assistance, including debugging intricate issues, building end-to-end features, and addressing ambiguous scientific problems.
Experience contributing to projects involving large or complex codebases in computational chemistry, materials modeling, or laboratory automation.
Exceptional written and verbal communication skills with a strong focus on technical documentation and knowledge sharing.
Experience evaluating, adopting, or developing new workflows using AI-powered tools in scientific research or industrial environments.
Strong analytical and critical-thinking abilities with the ability to clearly articulate process decisions and results for AI system training purposes.
No prior AI experience is required if the candidate has the required scientific domain expertise and relevant technical workflow experience.

Benefits

Remote contractor opportunity
Work on cutting-edge AI and scientific training projects
Contribute authentic chemistry and materials science expertise to next-generation AI systems
Opportunity to influence AI performance on complex scientific workflows
Flexible collaboration with a remote project team

Data-heavy Chemistry/Materials Science Expert

Responsibilities

Deliver comprehensive, data-rich insights based on experience in chemistry or materials science, especially where AI coding agents have been integrated into technical workflows.

Document real-world scenarios involving AI agents for large codebase navigation, challenging debugging, feature development, and architectural modifications.

Compose clear and detailed written accounts and participate in feedback sessions explaining scientific methodologies and the impact of AI tools on technical problem-solving.

Evaluate the effectiveness and limitations of AI agents in scientific workflows and provide actionable recommendations for improving AI systems in STEM contexts.

Collaborate remotely with the project team to share domain-specific expertise and facilitate knowledge transfer through written and verbal communication.

Contribute to datasets and training materials that reflect authentic chemistry and materials science practices using AI code-generation tools.

Identify complex technical challenges and case studies where AI coding agents enhanced productivity or enabled new scientific outcomes.

Skills

Requirements

Advanced degree or equivalent professional experience in chemistry, materials science, chemical engineering, or a closely related STEM field.

Proven proficiency with AI coding agents including Codex, Claude Science, Claude Code, and Claude Cowork for generating code sequences in scientific environments.

Ability to apply AI agents beyond basic code assistance, including debugging intricate issues, building end-to-end features, and addressing ambiguous scientific problems.

Experience contributing to projects involving large or complex codebases in computational chemistry, materials modeling, or laboratory automation.

Exceptional written and verbal communication skills with a strong focus on technical documentation and knowledge sharing.

Experience evaluating, adopting, or developing new workflows using AI-powered tools in scientific research or industrial environments.

Strong analytical and critical-thinking abilities with the ability to clearly articulate process decisions and results for AI system training purposes.

No prior AI experience is required if the candidate has the required scientific domain expertise and relevant technical workflow experience.