Find your dream job now

About Micro1: Job DescriptionRole Title: Data Privacy AnalystRole Type: ContractorLocation: Remotemicro1 is engaging Data Privacy Analysts to contribute their expertise to a customer's data privacy initiative focused on protecting sensitive information. 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. This opportunity is designed for professionals adept at reviewing, verifying, and safeguarding personal identifiable information (PII) within transformed datasets. The project emphasizes qualitative input and thorough spot-checks to ensure all sensitive details have been properly managed.Scope of WorkConduct spot-checks of transformed datasets to identify and validate proper redaction or anonymization of PII.Perform detailed document reviews to verify data privacy standards are consistently upheld.Assess data sets for any missed or improperly handled sensitive information, providing clear and actionable feedback.Document and report any discrepancies or observations using provided tools and templates.Preferred QualificationsStrong background in contract review, quality assurance, eDiscovery, and compliance processes.In-depth understanding of Personal Identifiable Information (PII) and data privacy regulations.Background as a Paralegal, eDiscovery Specialist, Privacy Analyst, Information Governance Specialist, Compliance Manager, or Legal Document Review Lead.Experience in legal document review, litigation support, or managed legal services.Proven track record of working with sensitive data in high-stakes environments.Detail-oriented, analytical, and able to maintain accuracy under pressure.

About Micro1: Job DescriptionRole Title: Physician AI Trainer – Hospital MedicineRole Type: ContractorLocation: United States, Remotemicro1 is engaging with Physician AI Trainer – Hospital Medicine to contribute their medical expertise to a customer project focused on inpatient care and documentation standards. In this role, you’ll apply your adult inpatient 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 adult medicine documentation, including HPI, PMH, medication reconciliation, social history, assessments, and plans.Follow clear guidelines and apply the same standards consistently.Identify missing, incorrect, or inconsistent information in medical records, including renal- and hepatic-adjusted dosing, medication interactions, and age-appropriate clinical details.Share feedback to help improve AI models and data quality.Preferred QualificationsAt least 5 years of hospitalist experience.MD or DO, board certified in Internal Medicine (or Internal Medicine with a Hospital Medicine focused practice designation).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.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.

About Micro1: Job DescriptionRole Title: Junior Data ScientistRole Type: ContractorLocation: RemoteAbout the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.Scope of WorkEvaluate AI model outputs on data science, statistics, ML, and quantitative problemsCreate expert-level prompts, datasets, and reference solutionsIdentify flawed methodology, statistical errors, and weak quantitative reasoningProvide structured feedback that improves model capabilityPreferred QualificationsAt least one year of experience working at a top company (tech, finance, or research), with at least part of this experience within the past 3 yearsBased in an English-speaking countryClear written communication of technical and statistical concepts

About Micro1: Job DescriptionRole Title: Financial Aid AdvisorRole Type: ContractorLocation: RemoteTime Commitment: 15-25 hours/week, short-term projectmicro1 is looking for Financial Aid Advisors to help evaluate and improve AI systems on federal student loan topics. You’ll use your borrower counseling experience to check that questions sound like real borrowers and that answers are correct and useful. Accuracy comes first. No AI experience is needed; your domain knowledge is what matters.Scope of WorkReview sample student loan questions and flag any that don’t sound like what real borrowers ask.Write rubrics that define a correct, complete answer on federal loan repayment, including income-driven repayment (IDR) plans and forgiveness programs such as PSLF.Cover servicer issues, deferment and forbearance, and default management in your rubrics.Evaluate AI-generated answers against your rubrics, flagging errors, omissions, and outdated guidance.Share clear written feedback with the project team, working asynchronously.Required QualificationsDirect experience counseling borrowers on federal student loan repayment and forgiveness (nonprofit counselor, university financial aid office, or similar)1+ years advising on IDR plans, PSLF, or other repayment and relief optionsExperience beyond award packaging, such as repayment, forgiveness, servicer issues, or default resolutionWorking knowledge of loan servicing, deferment, forbearance, and defaultUS-basedAble to start quickly and commit 15-25 hours/weekClear, precise writing

About Micro1: Job DescriptionRole Title: Competitive Data Scientist (Kaggle)Pay: $60–$120/hourLocation: Global, fully remoteJob Type: Contractor (~15 hours per week)Schedule: Flexible-you choose the hours and days you work, including weekends if desiredWe're looking for data scientists, machine learning practitioners, and applied mathematics experts with competitve Data Science experience. (Kaggle, DrivenData, etc.)You’ll draw on your competition experience, mathematical reasoning, and programming skills to create tasks that require more than a plausible answer. Each task should have a reproducible environment, a verified reference solution, and reliable checks for successful completion.What You’ll DoBuild reproducible environments, prepare relevant data and dependencies, and implement reference solutions.Develop tests and evaluation criteria that reliably distinguish correct solutions from incomplete or flawed approaches.Run coding agents against tasks, investigate their failures, and refine the tasks based on observed behavior.Identify implementation errors, flawed assumptions, data leakage, and other issues that affect correctness.Document task requirements, solution reasoning, and verification steps clearly.What We’re Looking ForDemonstrated experience in data science, ML, quantitative modeling, or relevant research competitions. (Kaggle, DrivenData, etc.)Strong problem-solving ability and a clear understanding of the methods you use.Practical programming ability sufficient to implement and verify your own solutions.Relevant competition platforms include Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, and CodaLab/Codabench.Huge PlusesStrong coding experience, particularly in Python, including testing, debugging, and working with unfamiliar code