About Micro1: Job DescriptionRole Title: Security Onion SpecialistRole Type: ContractorLocation: Remotemicro1 is engaging Security Onion Specialists to contribute to a dynamic customer project focused on advancing security operations and threat detection capabilities. 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 is ideal for professionals who excel at both technical implementation and clear, concise communication, ensuring knowledge transfer and actionable insights.Scope of WorkComplete assigned workflows and tasks within Security Onion using your practical cybersecurity experience.Navigate Security Onion features related to network monitoring, alert investigation, log analysis, threat detection, and incident response.Analyze security alerts, network traffic, logs, and other relevant security data within Security Onion.Record your screen while completing assigned workflows and clearly demonstrate the steps taken.Create realistic prompts and detailed rubrics based on completed workflows.Document workflow steps and clearly explain the tools, features, and investigation techniques used.Review and evaluate task outputs for accuracy and alignment with project guidelines.Follow project instructions and quality standards while working independently in a remote environment.Preferred QualificationsStrong hands-on experience using Security Onion for security monitoring, threat detection, or incident investigation.Prior Human Data experience, such as data annotation, labeling, RLHF, AI response evaluation, model evaluation, or similar work.Current access to Security Onion and ability to use the application independently.Comfortable recording and sharing your screen while completing workflows.Strong attention to detail and ability to clearly explain technical workflows.
About Micro1: Job DescriptionRole Title: Financial ExpertRole Type: Contractor.Location: Remotemicro1 is engaging Financial Experts to participate in a customer-facing project focused on the evaluation and enhancement of AI agents within financial domains. 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 WorkDevelop realistic, multi-step finance and business process prompts that mirror actual industry workflows.Create detailed, objective rubrics to assess the quality, accuracy, and completeness of AI-generated outputs.Review and evaluate AI agent responses using your rubrics, providing structured, actionable feedback.Leverage Microsoft 365 applications (Excel, Word, PowerPoint, Outlook) to design and review tasks reflective of modern financial practices.Ensure all assessments and feedback are documented with clarity and precision in written English.Collaborate asynchronously with project coordinators to align on deliverable standards and expectations.Preferred QualificationsProfessional background in finance, accounting, FP&A, banking, consulting, or related fields.Strong expertise with Microsoft 365 tools, especially Excel, for analytical and documentation purposes.Exceptional written and verbal communication skills, with the ability to convey complex financial concepts clearly.Demonstrated attention to detail and consistency in following comprehensive evaluation guidelines.Ability to independently produce objective, structured assessments against well-defined criteria.Nice to have: experience in rubric development, data annotation, or AI model evaluation projects.
Finance domain expertise
Accounting
Fp&a
+17 more
About Micro1: Job DescriptionRole Title: Family Medicine HospitalistRole Type: ContractorLocation: Remotemicro1 is engaging Family Medicine Hospitalist Physicians to contribute their medical expertise to a customer project focused on inpatient care and documentation standards. In this role, you’ll apply your broad clinical training to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.Scope of WorkReview medical records, including FHIR data and clinical notes, for AI training.Check whether clinical information and claims are supported by the medical record.Review inpatient documentation, including HPI, PMH, assessments, and plans.Follow clear guidelines and apply the same standards consistently.Identify missing, incorrect, or inconsistent information in medical records.Share feedback to help improve AI models and data quality.Communicate clearly with the project team about your work and findings.Preferred QualificationsAt least 5 years of hospitalist experience.MD or DO, board certified in Family Medicine (or Family Medicine with a Hospital Medicine focus or certification).Current or recent inpatient/hospitalist experience (within the last 2 years).Strong understanding of inpatient documentation and hospital workflows, including admission, daily progress notes, transitions of care, and discharge.Comfortable reviewing clinical notes and raw medical record data.Strong attention to detail and ability to follow clear guidelines consistently.Experience with chart review, clinical documentation improvement, utilization review, or medical coding/QA is a plus.Experience across a broad patient mix, such as adult medicine, geriatrics, pediatrics, or obstetric/newborn care, is a plus. Family medicine’s cross-population training is especially valuable here.Compensation StructureCompensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Family medicine
Quality assurance
Cdi
+2 more
About Micro1: Job DescriptionRole Title: Rates traderRole Type: ContractorLocation: Remotemicro1 is engaging experienced Rates traders to participate in a project supporting a leading investment bank’s algorithmic trading desk. 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 WorkEvaluate AI-generated trading strategies for rates products, providing feedback based on your professional experience and knowledge of real market dynamics.Assess the realism and market viability of AI outputs related to interest rate swaps, swaptions, Treasury futures, Eurodollar/SOFR, and repo instruments.Offer structured, actionable commentary on algorithmic strategies and decision rationale.Identify market scenarios where AI recommendations diverge from actual trading desk practices.Suggest improvements to increase the accuracy and sophistication of AI-generated trading logic.Engage in written and verbal discussions to clarify reasoning and facilitate the AI training process.Contribute flexibly to project milestones in a remote setting.Preferred QualificationsCurrent or former Rates trader at an investment bank or hedge fund.Extensive hands-on experience trading interest rate swaps, swaptions, Treasury futures, Eurodollar/SOFR, and repo products.Background in algorithmic or systematic trading on a Rates desk (VP, Director, or similar level strongly preferred).In-depth understanding of rates market structure, pricing, and risk management.Strong written and verbal communication skills, with the ability to clearly articulate complex trading insights.Comfort evaluating quantitative strategies and explaining their real-world applicability.Previous experience collaborating on technology or trading system projects is a plus.
Swaptions trading
Treasury futures trading
Repo trading
+8 more
About Micro1: Job DescriptionRole Title: Quantitative Rates ResearcherRole Type: ContractorLocation: Remotemicro1 is engaging Quantitative Rates Researchers to contribute to a leading investment bank’s algorithmic trading platform 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.Scope of WorkReview and assess AI-generated quantitative research and trading strategy outputs focused on fixed income and rates marketsIdentify and document methodological issues such as lookahead bias, overfitting, data snooping, and unrealistic transaction cost assumptionsEvaluate the accuracy of backtesting frameworks, especially with respect to rates-specific mechanics like carry/roll-down and contract roll conventionsScrutinize the statistical rigor of signal construction, factor modeling, and alpha research in the provided outputsDeliver detailed written feedback on model assumptions, implementation fidelity, and research soundnessCollaborate asynchronously with project coordinators by clarifying findings and suggestions through clear written and verbal communicationContribute to the refinement of research evaluation processes for greater accuracy and relevancePreferred QualificationsBackground as a quantitative researcher, analyst, or consultant with expertise in fixed income or rates marketsDemonstrated experience building and backtesting systematic rates strategies at a hedge fund, asset manager, or bankAdvanced proficiency in Python (pandas, numpy, scipy) or R for quantitative research and data analysisStrong understanding of yield curve modeling, carry/roll-down analytics, relative value trading, SOFR/Eurodollar instruments, and Treasury futuresComfort evaluating research under real-world trading conditions, including transaction costs and liquidity constraintsExceptional attention to detail and ability to articulate complex quantitative findings in clear, concise written feedbackPrior experience assessing or reviewing models for compliance with best practices in quantitative finance is a plus
Python
Pandas
Numpy
+15 more