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About Micro1: Job DescriptionRole Title: STEM AI Agent Research SpecialistRole Type: ContractorLocation: Remotemicro1 is engaging STEM AI Agent Research Specialists to contribute to a customer's advanced AI training 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 engagement focuses on reviewing and analyzing historical session traces from local or agentic AI tools used in rigorous STEM research or technical problem-solving. Strong written and verbal communication skills are essential, as you will assess, document, and articulate technical processes and insights for project deliverables.Scope of WorkReview, curate, and submit historical session traces from local or agentic AI tools (e.g., Claude Code, Claude Cowork, Codex, Claude for Life Sciences, OpenCode) demonstrating substantive STEM research or technical workflows.Analyze and validate the technical depth and integrity of AI-assisted problem-solving, ensuring sessions involve multi-step reasoning and authentic human guidance.Document research methodologies, problem-solving approaches, and points of human intervention within session traces.Evaluate the effectiveness and limitations of agentic AI tools in STEM research contexts, highlighting areas for improvement or model training.Produce clear, concise written explanations outlining session processes, outputs, and validation steps.Provide constructive feedback on the AI’s performance, accuracy, and reasoning based on professional STEM experience.Important: This role requires hands-on experience using local agentic AI tools to support STEM workflows (e.g., research, coding, analysis, experimentation, or technical problem-solving). Candidates without practical experience using these tools may not be a strong fit for this project.Preferred QualificationsAdvanced academic or professional background in a STEM field (science, technology, engineering, or mathematics).First-hand experience using local or agentic AI tools for research or technical projects, beyond web-based chatbots.Access to and familiarity with historical session data involving STEM or technical workflows.Strong skills in scientific reasoning, technical research, data analysis, code debugging, and research documentation.Demonstrated ability to guide, challenge, and validate AI-generated outputs within complex problem-solving scenarios.Excellent written and verbal communication skills for clear technical documentation and feedback.Experience with AI evaluation, output validation, and iterative research methods is highly valued.

About Micro1: Job DescriptionRole Title: Regulatory Affairs SpecialistRole Type: ContractorLocation: Remotemicro1 is engaging Regulatory Affairs Specialists to contribute to a customer's project focused on AI innovation in regulatory documentation. 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.Scope of WorkAuthor and review evaluation tasks inspired by real-world agency requests and sponsor response threads, determining if drafted responses meet regulatory expectations.Apply expert judgment to review clinical documentation, assessing whether conclusions are substantiated, commitments are properly scoped, and records can withstand regulatory scrutiny.Distinguish between substantively adequate and superficially polished responses, articulating clear rationales for any deficiencies.Assess consistency across comprehensive document sets, identifying unsupported or conflicting claims within or between documents.Provide structured, well-reasoned written feedback grounded in applicable regulatory guidelines rather than subjective impressions.Collaborate asynchronously and communicate complex regulatory concepts clearly in both written and verbal form.Preferred Qualifications5+ years of direct regulatory affairs experience at a sponsor, CRO, or consultancy, with responsibility for clinical submissions.Documented experience drafting or leading responses to health authority information requests, particularly for ongoing regulatory filings.Demonstrated working knowledge of the ICH framework, CTD/eCTD structure, and practical expectations of at least one major regulatory body (FDA, EMA, MHRA, PMDA, or Health Canada).Proven ability to critically read clinical or safety documents to identify regulatory risks, unsupported statements, and potential reviewer concerns.Exceptional written communication skills, with the capability to convey regulatory reasoning clearly, concisely, and defensibly.Degree in life sciences, pharmacy, medicine, or a related field; RAC certification is an advantage.Experience engaging with multiple regions or agencies, prior health authority reviewer/assessor background, or familiarity with AI-assisted regulatory tools (all considered valuable).

About Micro1: Job DescriptionRole Title: AI Data Science Domain ExpertRole Type: Contractor (Part Time)Location: Remotemicro1 is engaging AI Data Science Domain Experts to participate in a customer's project focused on advancing AI technology through high-caliber, domain-informed contributions. 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 contract is ideal for specialists who routinely develop or review research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations. An analytical mindset, meticulous attention to detail, and excellent written communication are essential as you craft, evaluate, and refine prompts, assess AI outputs, and ensure robust data quality.Scope of WorkReview, edit, and refine AI-generated content and data outputs for accuracy, clarity, and relevance based on domain knowledge and project-specific rubrics.Develop and optimize prompts to steer AI models towards desired outputs, leveraging professional writing and technical documentation skills.Conduct rubric-based evaluation of AI model performance, providing structured feedback and suggestions for improvement.Perform independent research to validate facts, enhance data quality, and support robust content evaluation processes.Contribute to quality assurance efforts by annotating data, fact-checking outputs, and ensuring adherence to analytic standards.Interpret and summarize complex datasets or findings into clear, actionable reports and technical summaries.Collaborate asynchronously with project leads and other domain experts to share insights and best practices.Preferred Qualifications3+ years of professional experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.Proven track record of producing or reviewing research papers, analytical reports, experiment summaries, notebooks, or technical documentation.Exceptional analytical reasoning, critical thinking, and attention to detail in written and quantitative deliverables.Advanced proficiency in professional writing, report writing, and business or technical communication.Experience with data annotation, content review, or rubric-based evaluation is highly desirable.Background in prompt engineering, AI output evaluation, fact checking, or RLHF (Reinforcement Learning from Human Feedback) is advantageous but not required.Master's, JD, MBA, PhD, or other advanced degree preferred; contributors from highly selective universities, leading technology companies, or research organizations are strongly encouraged to express interest.

About Micro1: Job DescriptionRole Title: AI Software Engineering Domain ExpertRole Type: Contractor (Part Time)Location: Remotemicro1 is engaging AI Software Engineering Domain Experts to contribute to a customer’s project focused on developing and refining advanced AI systems. 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.Scope of WorkAnalyze, review, and enhance AI-generated technical content, ensuring clarity, accuracy, and alignment with best practices in software engineering.Create, refine, and evaluate prompts and instructions designed to guide AI models in producing high-quality technical deliverables.Conduct rubric-based assessments of AI model outputs, providing detailed feedback on quality, correctness, and completeness.Draft and edit technical documentation, architecture plans, RFCs, design specifications, and engineering proposals for use in AI training.Perform independent research and fact-checking to validate technical assertions and ensure data-driven accuracy in content.Interpret and annotate data, leveraging software engineering expertise to support nuanced evaluation and labeling tasks.Collaborate asynchronously with project leads and other experts to meet deliverable requirements within established guidelines.Preferred Qualifications3+ years of professional experience in software engineering roles such as Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, or Solutions Architect.Track record of authoring or reviewing technical artifacts, including documentation, architecture documents, design specifications, RFCs, engineering proposals, postmortems, technical blogs, or code reviews.Exceptional critical thinking, analytical reasoning, and logical problem-solving skills.Demonstrated attention to detail and commitment to quality assurance in technical outputs.Strong written communication abilities, with experience in professional or technical writing and editing.Familiarity with AI coding tools (e.g., code assistants, automated documentation generators) is a plus, but not required.Advanced degree (Master’s, JD, MBA, PhD) or credentials from highly selective universities or equivalent academic programs are highly regarded.

About Micro1: Job DescriptionRole Title: AI Finance Domain ExpertRole Type: Contractor (Part Time)Location: Remotemicro1 is engaging AI Finance Domain Experts to contribute to a customer's project focused on enhancing AI-driven financial applications. 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 opportunity targets professionals with advanced financial acumen from private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance. Contributors will leverage their analytical rigor, financial judgment, and exceptional communication to ensure the quality and relevance of AI model outputs in finance.Scope of WorkAnalyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance.Develop, refine, and evaluate AI prompts related to financial analysis, valuation, and investment decision-making.Assess and annotate complex financial data, reports, and model outputs using detailed rubrics and best practices.Author and review technical documentation, investment memos, due-diligence reports, and research summaries.Evaluate AI output for logical consistency, robustness, and adherence to professional financial standards.Conduct independent research and fact checking to validate information used by AI systems.Provide constructive feedback to optimize prompt engineering and improve model performance in finance use cases.Preferred QualificationsMinimum 3 years of experience in private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance.Track record of producing high-quality investment memos, valuation analyses, financial models, due-diligence reports, or market research.Demonstrated critical thinking, analytical reasoning, and attention to detail in fast-paced, data-driven environments.Exceptional written communication and professional editing skills, with proficiency in technical and business writing.Experience in prompt authoring, data annotation, content review, or evaluation of AI/model outputs is a strong advantage.Master’s, JD, MBA, PhD, or other advanced degree is a plus; candidates with backgrounds from highly selective universities or equivalent academic programs are encouraged to participate.Strong problem-solving ability, independent research experience, and a commitment to quality assurance and fact checking.