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About Micro1: Job DescriptionRole Title: Compliance AttorneyRole Type: ContractorLocation: Remotemicro1 is engaging Compliance Attorneys to participate in a dynamic project for a valued customer. 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 annotate legal documents and compliance materials to inform AI system development.Draft detailed explanations, rationales, and responses to complex compliance scenarios, enhancing machine learning data sets.Evaluate and critique AI-generated legal outputs for accuracy, logic, and adherence to U.S. compliance standards.Collaborate remotely with project leads and technical specialists to provide expertise on nuanced compliance and regulatory questions.Develop scenario-based questions and answers reflecting current trends and challenges in compliance law.Identify ambiguities or potential legal pitfalls in AI outputs and suggest improvements for clarity and precision.Contribute feedback on process enhancements, supporting the continuous refinement of AI training protocols.Preferred QualificationsJuris Doctor (JD) degree from an accredited U.S. law school and active attorney license in good standing.3-15 years of recent, substantive experience practicing compliance law within the United States.Exceptional written and verbal communication skills, with a demonstrated ability to articulate complex concepts clearly and concisely.US-based, currently practicing in the field of compliance law.Judicial clerkship experience (service as a clerk for a judge) preferred.Experience teaching law courses or legal writing at accredited law schools is a plus.Editorial experience with legal journals during law school is highly valued.

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.

About Micro1: Job DescriptionRole Title: Autodesk Inventor SpecialistRole Type: ContractorLocation: Remotemicro1 is engaging Autodesk Inventor Specialists to contribute to a customer-focused project involving advanced mechanical design. 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.Note on Software: We're looking for experts with strong 3D parametric CAD modelling experience — for example, in Autodesk Inventor Specialist. This experience is directly transferable to FreeCAD, which is the software this project will focus on. Prior FreeCAD experience is ideal.Scope of WorkDevelop fully-parametric 3D CAD models of mechanical parts and assemblies based on detailed written briefs using Autodesk Inventor (or comparable platforms).Edit and update existing models to reflect revised requirements, ensuring all changes remain fully parametric and in line with best practices.Audit and review CAD models for compliance with dimensional, tolerance, and manufacturability criteria, identifying and documenting any gaps or issues.Create and interpret detailed technical drawings, applying ASME Y14.5 or equivalent GD&T standards.Ensure robust Design for Manufacturability (DFM) considerations across processes such as injection molding, sheet metal, CNC machining, and casting/forging.Support AI training initiatives by providing clear documentation and rationale for design decisions, edits, and audits.Communicate effectively in written and verbal formats, delivering precise feedback and solution-oriented insights to project stakeholders.Preferred QualificationsMinimum 4 years of hands-on parametric modeling experience for edit-level tasks; 10+ years for complex creation work.Expertise in Autodesk Inventor, with fluency in similar platforms like FreeCAD, SolidWorks, or Fusion 360 considered highly relevant.Demonstrated proficiency with GD&T (ASME Y14.5 or equivalent), with practical, real-world application.Proven DFM experience covering at least two to three manufacturing processes (e.g., injection molding, sheet metal, CNC, casting).Experience with reverse engineering workflows, such as scan-to-CAD or point cloud-to-model reconstruction.Ability to manage assembly-level designs and complex mechanical systems, not just single-part modeling.Familiarity with CAD automation, scripting (Python, iLogic, VBA, NX Open), or similar tools for enhancing workflow efficiency.