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: Medical SpecialistRole Type: ContractorLocation: United States, Remotemicro1 is engaging with Internal Medical Specialists 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.

About Micro1: Job DescriptionRole Title: Locum Tenens HospitalistRole Type: ContractorLocation: United States, Remotemicro1 is engaging with Locum Tenens Hospitalist 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: 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 Software EngineerRole Type: ContractorLocation: RemoteAbout the Role micro1 is partnering with a leading AI lab to hire junior software engineers from top companies. You'll evaluate AI-generated code, create challenging engineering problems, and help push model performance on real-world software tasks.Scope of WorkEvaluate AI-generated code for correctness, quality, and designWrite challenging coding problems, reference solutions, and test casesReview model reasoning on architecture, debugging, and system designProvide detailed technical feedback to improve model performancePreferred QualificationsAt least one year of experience as a software engineer at a top technology company, with at least part of this experience within the past 3 yearsBased in an English-speaking countryAbility to explain technical decisions clearly in writing