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About Micro1: Job Title: English Language Specialist (Transcription)Job Type: ContractorLocation: RemoteJob Summary: 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.Key Responsibilities:Transcribe English audio files with a high degree of accuracy and consistency.Review and refine machine-generated transcripts, correcting errors in spelling, grammar, and context.Add relevant metadata tags and annotations to transcripts to enhance data quality.Ensure all transcriptions meet strict quality standards and client formatting guidelines.Collaborate with the customer's team to clarify requirements and resolve ambiguities in source material.Handle sensitive or confidential content with discretion and professionalism.Maintain organized records of completed assignments and contribute to process improvements.Required Skills and Qualifications:Fluent proficiency in English, with exceptional grasp of spelling, grammar, and punctuation.Extensive experience in transcription and captioning of English audio content.Strong written and verbal communication skills, demonstrating care and precision in every task.High attention to detail, especially when reviewing and correcting machine-generated transcripts.Proficient in annotating and tagging metadata for language data sets.Excellent time management skills and ability to meet tight deadlines in a remote work environment.Comfort working independently while being responsive to feedback and updates from the customer’s team.Preferred Qualifications:Prior experience working with AI, speech recognition, or machine learning projects.Background in linguistics, English, or related language studies.Familiarity with industry-leading transcription tools and platforms.

About Micro1: Job Title: Competitive CoderJob Type: Contractor (15hrs+ a week)Location: RemoteJob Summary: 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.As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex competitive programming problems. You will be tasked with creating a unique custom problem absent from all existing online judges, creating a reference solution and creating a robust test suite.Key Responsibilities:Design and implement checkers for competitive programming problems with multiple valid outputs, ensuring accuracy and robustness.Evaluate and validate participant submissions against complex problem statements sourced from platforms like Codeforces.Collaborate with the customer's team to fine-tune problem requirements and clarify ambiguous scenarios.Develop clear, maintainable code in C++ to assess diverse outputs and edge cases efficiently.Document checker logic and communicate intricacies or edge cases in both written and verbal form.Provide feedback to problem setters and reviewers on potential improvements to test cases and checkers.Stay updated with evolving competitive programming standards and incorporate best practices into checker development.Required Skills and Qualifications:Expertise in competitive programming and coding problem analysis.Advanced proficiency in C++ for implementing robust checker solutions.Strong analytical abilities to interpret complex problem constraints and multiple solution paths.Exceptional written and verbal communication skills; ability to articulate technical details clearly.Meticulous attention to detail in code validation and output consistency.Experience working independently in a remote, collaborative environment.Commitment to producing high-quality, well-documented code under tight deadlines.Preferred Qualifications:Prior experience as a problem setter, tester, or checker on major competitive programming platforms.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.Start Timeline & AvailabilityWe typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

About Micro1: Job DescriptionJob Title: Member of Technical Staff, Enterprise AIJob Type: Full-timeLocation: RemoteThe RoleAs a Member of Technical Staff, you will function as a forward-deployed research partner embedded directly within enterprise AI systems. You will work on live workflows, uncover real-world failure modes, and drive rapid experimental cycles to improve system performance.What You’ll DoEmbed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams.Surface, formalize, and prioritize system failure modes in real-world deployments.Design high-signal datasets and evaluation protocols to target identified weaknesses.Run tight experimental loops to validate hypotheses and quantify improvements.Produce clear, decision-oriented analyses of system behavior and performance.Develop and benchmark agentic workflows, focusing on robustness and scalability.Build lightweight tooling to support evaluation, data curation, and rapid iteration.Contribute to internal and external research artifacts, including reports and benchmarks.Who You AreMaster’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.Strong judgment for research signal quality, including data selection and evaluation design.Experience designing datasets and evaluation frameworks for ML systems.Ability to translate ambiguous operational issues into structured research problems.Familiarity with RL environments and/or agentic system evaluation.Clear, concise communicator with a bias toward actionable insight.Proven ability to execute in fast iteration cycles and high-ambiguity settings.Collaborative mindset with experience working across research, product, and domain teams.PreferredStrong client-facing experience, particularly in technical or research-driven environments.Experience building internal research or evaluation tooling.Contributions to benchmarks, research publications, or open research initiatives.Exposure to enterprise AI deployments or forward-deployed research models.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 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.