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About Micro1: Job DescriptionJob Title: Member of Technical Staff, Research EngineeringJob Type: Full-timeLocation: RemoteThe RoleWe are seeking a Research Engineer to operate at the frontier of Reinforcement Learning (RL), developing novel environments, training pipelines, and evaluation systems that advance the capabilities of modern AI models. This role sits at the intersection of research and production, translating experimental ideas into scalable, high-performance systems.What You’ll Work OnArchitect self-contained RL environments that capture complex, real-world tasks, including reward functions, verifiers, and evaluation logic.Design and scale episode pipelines and multi-component training processes (MCPs) to support reproducible experimentation.Build automated data generation systems, leveraging synthetic data to accelerate training cycles without compromising quality.Develop and integrate AI-driven evaluation and quality assurance systems for automated grading, validation, and feedback loops.Fine-tune and optimize open-source RL models using internally generated datasets and custom training strategies.Establish benchmarking frameworks to measure model capability, robustness, and data quality across tasks.Contribute to the release and analysis of evaluations on internal and external benchmark platforms (e.g., micro1 benchmarks).What We're Looking ForDeep experience in Reinforcement Learning, including environment design and training dynamics.Strong track record of building and scaling RL systems, pipelines, or experimentation frameworks.Proficient in automation and data generation, including synthetic data pipelines.Familiar with automated evaluation systems, model validation, and quality assurance workflows.Experienced in fine-tuning and evaluating open-source ML models.Clear, concise communicator with strong technical writing skills.Comfortable operating in fast-paced, research-driven, and highly collaborative environments.PreferredExperience publishing benchmarks, evaluations, or research artifacts.Familiarity with evaluation ecosystems (e.g., micro1 benchmarks or similar frameworks).Background in scalable infrastructure for large-scale RL experimentation.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: Certified Public Accountant (India)Role Type: ContractorLocation: India (Remote)micro1 is engaging Certified Public Accountants (India) to contribute to a customer’s project focused on US tax compliance and legal interpretation. 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 Work:Analyze, interpret, and annotate sections of the Internal Revenue Code (IRC) and related US Treasury Regulations, emphasizing nuanced statutory language and exceptions.Review and assess a variety of US tax legal documents, ensuring clarity, technical accuracy, and proper application of statutory rules.Evaluate and provide expertise on individual tax returns (Form 1040) in the context of current IRS guidance and regulations.Draft summaries or explanatory notes that clarify complex tax law concepts for technical and non-technical audiences.Identify and flag inconsistencies, ambiguities, or potential areas of confusion within legal documents or IRS source materials.Collaborate via digital platforms, delivering high-quality written content and clear verbal communication on findings and recommendations.Preferred Qualifications:Active Certified Public Accountant (India) qualification with demonstrable expertise in US tax law.Deep familiarity with the Internal Revenue Code (IRC), US Treasury Regulations, and IRS compliance requirements.Strong background in analyzing and interpreting legal documents, statutes, and tax-related materials.Proven experience reviewing or preparing US individual tax returns (Form 1040).Exceptional written and verbal communication skills, with an aptitude for translating technical legal language into clear explanations.Detail-oriented mindset with the ability to identify and articulate statutory exceptions and regulatory nuances.Interest in contributing to innovative projects at the intersection of finance, law, and technology.

About Micro1: Job DescriptionRole Title: Physics (PhD)Role Type: ContractorLocation: Remotemicro1 is engaging Physics (PhD) experts to contribute their advanced knowledge to a high-impact AI development project for a 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. This opportunity is ideal for those passionate about the intersection of physics and emerging technologies, and for individuals who excel at articulating complex scientific concepts in clear, concise ways. Strong written and verbal communication is essential to ensure your insights drive significant advancements in AI model training.Scope of WorkAnalyze and evaluate real-world physics data, concepts, and scenarios to enhance AI model training.Generate, review, and refine technical content and problem sets that represent advanced physics subject matter.Provide expert scientific feedback on complex questions and model outputs, ensuring technical accuracy and relevance.Translate intricate physics theories and phenomena into accessible explanations for AI interpretation.Collaborate with project stakeholders to align deliverables with evolving project objectives.Participate in quality assurance of training data by identifying gaps and recommending improvements.Preferred QualificationsDoctorate (PhD) in Physics from an accredited institution.Extensive background in advanced physical sciences, with a solid foundation in theoretical and applied physics.Exceptional ability to communicate complex scientific topics both in writing and verbally.Experience developing or reviewing educational or technical materials in physics.Demonstrated analytical and problem-solving skills pertinent to scientific research.Adaptability to evolving project requirements and a proactive approach to tackling new challenges.Interest or familiarity with AI, data science, or digital training environments is a plus, but not required.

About Micro1: Job DescriptionRole Title: PhD Engineer (Electrical, Mechanical, Chemical)Role Type: ContractorLocation: Remotemicro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer 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 WorkDeliver authoritative written responses to complex engineering prompts in your area of expertiseReview and interpret scientific literature to provide contextually accurate and current insightsDesign and document realistic experimental scenarios based on advanced engineering principlesAnalyze data and interpret results to inform AI training datasets with precisionApply sophisticated calculus and quantitative methodologies to problem-solving tasksEnsure clarity, accuracy, and completeness of all submitted materials based on provided guidelinesCollaborate with project coordinators to refine prompt response quality as neededPreferred QualificationsPhD in Electrical, Mechanical, or Chemical EngineeringDemonstrated expertise in calculus, data analysis, research methodology, and experimental designExceptional written and verbal communication skills with the ability to convey complex concepts clearlyStrong literature review capabilities and familiarity with synthesizing scientific knowledgeExperience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)Proven ability to produce "golden response" level deliverables with accuracy and completenessDetail-oriented mindset and commitment to high-quality, impactful contributions

About Micro1: Job DescriptionJob Title: Referral Partnerships LeadJob Type: Full-timeLocation: RemoteThe RolePlay a pivotal role in scaling our referral ecosystem by building and managing a network of referral partners. Your primary responsibility will be recruiting, onboarding, and activating individuals and small lead-generation organizations that can expand our referral network and drive company acquisition through downstream referral channels.This is a highly relationship-driven role focused on network expansion, partner activation, and referral ecosystem growth.What You'll DoRecruit and onboard individuals and small lead-generation organizations into our referral partner program.Build and scale a multi-layer referral network that expands our ability to generate company leads.Develop outreach strategies to identify and attract high-potential referral partners.Educate partners on referral processes, incentives, and best practices.Manage partner onboarding, activation, engagement, and ongoing communication.Configure and manage custom referral fee structures when applicable.Create playbooks, training materials, and resources that help partners successfully grow their own referral networks.Track partner activity, referral volume, activation rates, and network growth metrics.Identify top-performing partners and develop strategies to increase their contribution.Work closely with leadership and growth teams to optimize referral programs and partner incentives.Continuously improve processes that increase referral network expansion and company acquisition outcomes.What We Look ForExperience in partnerships, affiliate programs, referral programs, community building, business development, or network-driven growth.Proven ability to recruit, activate, and manage external partners.Strong relationship-building and communication skills.Experience working with incentive-based or performance-driven partner ecosystems.Comfortable with outbound outreach and partner acquisition.Highly organized with strong follow-through and operational discipline.Data-driven mindset with the ability to track performance and optimize programs.Self-starter who thrives in fast-moving, high-ownership environments.PreferredExperience building referral, affiliate, ambassador, or partner networks.Experience working with lead-generation organizations or independent business development partners.Familiarity with partner management, CRM, and referral tracking tools.Experience in recruiting, staffing, AI, technology, marketplaces, or growth-focused organizations.History of scaling partner ecosystems that produced measurable business outcomes.