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About Micro1: Job DescriptionAerodynamics Expert (MSc. or PhD)Pay: $80–$120/hourLocation: Global, fully remoteJob Type: Contractor (~15 hours per week)Schedule: Flexible—you can choose the hours and days you work, including weekends if desiredWe are looking for a highly skilled Aerodynamics Expert to contribute to an AI training project involving computational fluid dynamics, aerodynamic analysis, engineering simulation, and Python.The work involves creating, solving, reviewing, and validating engineering tasks that can be completed through programmatic, command-line-based workflows. A representative task may require analyzing an airfoil, preparing a computational domain and mesh, defining appropriate boundary conditions, running a CFD simulation, calculating lift and drag, and determining whether the resulting flow field is numerically and physically valid.What You’ll Work OnSolve and validate aerodynamic and fluid-dynamics problems.Translate physical requirements into computational models and solver-ready cases.Create or modify geometries, computational domains, and meshes.Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings.Run CFD and aerodynamic-analysis workflows using command-line-accessible tools.Use Python to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation.Required QualificationsAn MS or PhD in Aerospace Engineering, or Mechanical Engineering with an aerodynamics, fluid dynamics, or thermofluids specialization; orA BS in Aerospace or Mechanical Engineering plus at least 1–2 years of aero-specific professional or research experience.Strong understanding of fluid mechanics and applied aerodynamics.Experience formulating and executing CFD or aerodynamic analyses.Practical proficiency with Python.Experience with at least one engineering tool or library that can be operated through a CLI, scripting interface, configuration files, or programmatic API.Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings.Ability to diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs.Ability to communicate technical reasoning and engineering trade-offs clearly.Relevant tools may include Python, OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy, or similar programmatic engineering software. Experience with an equivalent CLI-accessible tool is acceptable.Relevant Python tools may include NumPy, SciPy, pandas, Matplotlib, Jupyter, solver APIs, mesh-processing libraries, or domain-specific scientific packages. No single library is mandatory.ProcessApply to the role and complete the screening questions.Complete an AI interview of approximately 30 minutes.Complete the hiring manager review.Compensation StructureCompensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.Minimum submission requirements apply.Start Timeline & AvailabilityWe typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

About Micro1: Job DescriptionMechanical Engineering Expert (MSc. or PhD)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 are looking for a highly skilled Mechanical Engineering Expert to contribute to an AI training project involving engineering design, physical modeling, simulation, technical problem-solving, and Python.The work involves creating, solving, reviewing, and validating engineering tasks across structural, thermal, mechanical, and multiphysics domains. A representative task may require translating physical requirements into a computational model, generating the required geometry or mesh, applying materials and boundary conditions, running an engineering simulation, and determining whether the resulting artifact and analysis satisfy the applicable physical and design constraints.This is a very coding heavy role. Candidates must have experience using coding agents in their workflow.What You’ll Work OnSolve and validate mechanical-engineering problems involving design, analysis, simulation, testing, or R&D.Translate physical systems and engineering requirements into analytical or computational models.Create or modify geometry, meshes, materials, loads, contacts, constraints, and solver inputs.Required QualificationsAn MS or PhD in Mechanical Engineering or a closely related engineering discipline; orStrong understanding of applied mechanics and mechanical-engineering fundamentals.Experience developing analytical, computational, or simulation-based engineering solutions.Practical proficiency with coding agents.ProcessApply to the role and complete the screening questions.Complete an AI interview of approximately 30 minutes.Complete the hiring manager review.Compensation StructureCompensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.Minimum submission requirements apply.Start Timeline & AvailabilityWe typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

About Micro1: Job DescriptionRole Title: Bilingual Mental Health Expert Role Type: ContractorLocation: Remotemicro1 is engaging bilingual mental health experts to contribute to a customer’s project focused on enhancing AI systems with nuanced expertise. 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 and evaluate AI-generated psychological content for accuracy, relevance, and ethical standards.Develop and review data sets involving psychological case studies, assessments, and conversations for AI system training.Craft detailed written feedback and verbal insights to refine AI responses in contexts such as clinical scenarios, research vignettes, and therapeutic dialogues.Identify potential biases or inaccuracies within AI-generated outputs and propose evidence-based improvements.Collaborate with multidisciplinary teams to integrate psychological concepts and frameworks into AI model training processes.Ensure adherence to cultural, linguistic, and clinical best practices for diverse user scenarios.Contribute to documentation and knowledge-sharing resources that guide ongoing AI development.Preferred QualificationsCompleted Ph.D in Psychology or MD with completed psychiatry residency.Native proficiency in at least one of: French, Malay, Russian, Mandarin, Japanese, Urdu, Swahili, Bulgarian, Tagalog, Polish, Marathi, Lithuanian, Georgian, Bengali, Vietnamese, or Indonesian, plus advanced English communication skills.Demonstrated ability to communicate complex psychological concepts clearly in both written and verbal formats.Experience in clinical practice, research, or higher education in psychology or psychiatry.Strong analytical and evaluative skills to assess psychological data and narrative content.Awareness of cultural sensitivity and ethical considerations in global mental health contexts.Previous experience collaborating on interdisciplinary or technology-driven projects is a plus.

About Micro1: Job DescriptionJob Title: Enterprise Client Partner, Enterprise AIJob Type: Full-timeLocation: San Francisco - HybridThe RoleWe are seeking an Enterprise Client Partner to build and own strategic relationships with enterprise customers deploying AI agents and AI systems into real business workflows. This role sits at the intersection of sales, product, deployment, and customer success—working directly with technically sophisticated teams to translate complex AI use cases into scalable, high-impact engagements.What You’ll DoIdentify, engage, and close enterprise customers through targeted outbound, warm introductions, and ecosystem-driven relationships.Own client relationships from initial technical discovery through long-term strategic partnership.Lead high-stakes conversations with engineering, product, data, and executive stakeholders.Shape proposals and deal structures that reflect complex AI deployments and enterprise realities.Partner closely with internal product, engineering, and operations teams to align customer needs with execution.Ensure successful deployment and expansion of AI agents and AI systems within customer workflows.Maintain clear pipeline visibility and strategic signal for internal decision-making.Surface product feedback and market insights to inform roadmap and positioning.What We Look ForExceptional written and verbal communication with strong technical intuition.Experience owning enterprise relationships in AI, SaaS, or highly technical environments.Proven ability to navigate complex, multi-stakeholder enterprise deal cycles.Comfort operating with evolving product surfaces and ambiguous technical requirements.Strong ownership mindset with bias toward action and long-term account growth.Nice to HaveExperience working with human data teams, enterprise AI teams, or enterprise data organizations.Familiarity with AI agent deployments, model evaluation workflows, or human-in-the-loop systems.Exposure to enterprise AI transformation initiatives.Experience in early-stage or high-growth technology organizations.Compensation & Benefits NoticeThe national pay range for this full-time position is base salary of $140,000 –$180,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.DisclaimerThe information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

About Micro1: Job DescriptionRole Title: US-Licensed PhysicianRole 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.