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About Micro1: Job DescriptionRole Title: Technical ArchitectRole Type: ContractorLocation: RemoteIn this role, you'll apply your platform engineering expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world engineering input. No prior experience in AI is required-your domain knowledge and hands-on production experience are what matter.As an expert, you will create Reinforcement Learning Environments that test an AI model’s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. You will develop realistic scenarios involving distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery, then build reproducible environments, deterministic validation tests, golden reference solutions, and intentionally defective variants.ResponsibilitiesCreate realistic cloud infrastructure tasks involving distributed systems, networking, security, scalability, and reliability.Build reproducible, containerized environments with valid reference solutions and intentionally defective variants.Define measurable requirements across infrastructure configuration, deployed topology, and runtime behavior.Develop deterministic integration, load, security, failure-injection, deployment, and recovery tests.Debug environments, document technical decisions, and review tasks created by other experts.Required Skills and QualificationsSenior-level technical architecture, cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE experience, including personal ownership of a production platform.Strong knowledge of distributed systems, scalable APIs, queues, autoscaling, durable storage, and partial-failure scenarios.Practical experience with IAM, private networking, least-privilege access, and service-to-service security.Experience with observability, measurable SLOs, rolling deployments, rollback strategies, and disaster recovery.Ability to write infrastructure automation or testing tools and debug containerized environments using a relevant programming language.Preferred QualificationsExperience with Terraform or OpenTofu.Experience with AWS, Azure, GCP, Kubernetes, or multi-cloud infrastructure.Experience building internal developer platforms, edge infrastructure, or shared platform services.Experience with chaos engineering, fault injection, local cloud emulators, or resilience testing.Experience creating technical evaluations, automated grading systems, or AI environments is helpful but not required.Process:Apply to the role, filling out the screening questionsComplete AI interview (aprox. 30 minutes), reviewed by recruiters)Hiring Manager reviewCompensation 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 Title: Chinese Voice CoachJob Type: ContractLocation: 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.Key Responsibilities:Provide individualized coaching in Chinese pronunciation, tone, and intonation for learners at varying skill levels.Develop and facilitate tailored voice training sessions, ensuring each participant achieves their unique communication goals.Assess learners’ speech patterns and provide actionable feedback to drive measurable improvement.Design engaging lesson materials and exercises, utilizing both written and verbal communication methods.Utilize digital platforms to deliver training remotely, maintaining a motivating and interactive environment.Track progress and adjust coaching strategies to meet client needs and maximize learning outcomes.Collaborate with the customer’s team to continually refine voice coaching methodologies and share insights.Required Skills and Qualifications:Native or near-native fluency in Chinese, with clear and precise pronunciation.Demonstrated experience in voice coaching, language instruction, or a related field.Exceptional written and verbal communication skills, with a passion for helping others develop these abilities.Strong understanding of Mandarin phonetics, linguistic nuances, and voice projection techniques.Proficiency with remote communication and digital collaboration tools (e.g., Zoom, Teams).Self-motivated, organized, and adept at managing multiple clients or sessions effectively.Ability to adapt teaching approaches to cater to diverse learning styles and proficiency levels.Preferred Qualifications:Background in performing arts, linguistics, or speech therapy.Experience working with international or multicultural teams.Certification in Chinese language instruction or voice training.

About Micro1: Job DescriptionJob Title: Member of Technical Staff, Frontier AIJob Type: Full timeLocation: RemoteThe RoleWe’re hiring a Member of Technical Staff (MTS) to act as a technical owner operating at the intersection of research, data, and real-world AI systems. This is a hands-on role focused on improving model and system performance through rigorous evaluation, failure analysis, and iterative development.You’ll work closely with researchers, domain experts, and operators to ensure that experimental work produces clean, defensible research signal—and that this signal translates into meaningful improvements in deployed systems.What You’ll DoOwn research and evaluation initiatives end-to-end: problem framing, data design, quality calibration, and signal validation.Design ML-oriented data systems, including task definitions, annotation schemas, rubrics, incentives, and pipelines optimized for downstream model performance.Analyze model and system failures to identify root causes, edge cases, and opportunities for improvement.Translate ambiguous, real-world behavior into structured evaluation frameworks and new data categories.Work closely with researchers and domain experts to calibrate quality early and continuously raise the signal bar.Iterate rapidly on evaluations, datasets, and feedback loops to improve system performance.Act as a quality gate: block claims, pause work, or force scope changes when signal strength or data integrity is insufficient.Partner with cross-functional and client-facing teams to translate research progress into clear, credible narratives grounded in evidence.Identify gaps in data or evaluation coverage and recommend where to invest, iterate, or stop based on learnings and impact.What We’re Looking ForStrong judgment around research signal quality and when work is (or is not) ready to be externalized.Experience designing ML-oriented datasets, evaluation frameworks, and QA processes.Ability to translate messy, real-world system behavior into structured research and evaluation opportunities.Comfort operating in ambiguity, with a bias toward ownership and decisive action.Clear written and verbal communication, especially when explaining tradeoffs, limitations, and signal strength to technical and non-technical stakeholders.Proven ability to work directly with experts during project kickoff, calibration, and iteration.A systems-level mindset, with interest in improving end-to-end model or agent performance rather than isolated components.PreferredExperience with reinforcement learning environments, simulators, or feedback-driven training systems.Experience improving agentic systems or AI systems operating in real-world workflows.Prior work embedded in applied research or production environments with direct impact on deployed systems.Experience with evaluation design for complex or real-world tasks.Familiarity with expert incentive design and engagement in high-stakes technical projects.Compensation & Benefits NoticeThe national pay range for this full-time position is base salary of $180,000 –$320,000. 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 Title: Senior Software EngineerJob Type: Contractor (~15 hrs 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 software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.Required Skills and Qualifications:Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust.Deep understanding of algorithms, data structures, and performance tuning.Demonstrated experience in debugging complex software issues and delivering maintainable solutions.Strong background in feature development and codebase refactoring.Proven ability to optimize software for performance and scalability.Exceptional written and verbal communication skills, with a keen attention to detail.Track record of success in collaborative, cross-functional teams, ideally in remote settings.Preferred Qualifications:Previous experience working on large-scale, distributed codebases.Familiarity with modern AI or machine learning systems is a plus, though not required.Background in participating in rigorous code reviews and contributing to the development of software best practices.Process:Apply to the role, filling out the screening questionsComplete AI Interview (approx. 30 minutes)Technical Assessment (Tentative)Hiring Manager reviewCompensation 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: Data EngineerJob Type: Full-timeLocation: RemoteThe RoleWe are looking for a skilled Data Engineer with strong analytical thinking and experience building scalable data pipelines, performing exploratory data analysis, and working with both structured and unstructured data. In this role, you will help transform raw information into reliable, high-quality datasets that support research, analytics, and AI/ML model development. Exposure to machine-learning tools and AI technologies is highly valuable.Key ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines.Collect, clean, transform, and organize structured and unstructured data.Conduct exploratory data analysis to identify trends, patterns, anomalies, and data-quality issues.Collaborate with researchers, data scientists, and engineering teams to prepare datasets for AI and machine-learning initiatives.Develop and maintain data models, database schemas, and data-storage solutions.Write and optimize SQL queries for data extraction, transformation, and analysis.Ensure data quality, integrity, consistency, and security across pipelines and databases.Automate data validation, reporting, and recurring data processing workflows.Document data pipelines, processes, and technical decisions.Troubleshoot pipeline failures and resolve data-related issues.Required Skills and QualificationsStrong proficiency in Python and SQL.Hands-on experience designing and maintaining ETL pipelines.Experience conducting exploratory data analysis.Proficiency with Python data-processing libraries such as Pandas and NumPy.Experience working with relational databases, particularly PostgreSQL and MySQL.Strong understanding of data modeling, database schemas, and data transformation.Ability to work with both structured and unstructured datasets.Experience ensuring data accuracy, quality, and reliability.Familiarity with development environments such as Jupyter Notebook, VS Code, or PyCharm.Strong analytical, problem-solving, and communication skills.Nice to HaveExposure to AI and machine-learning workflows.Familiarity with tools and libraries such as scikit-learn.Experience working with Hugging Face Transformers.Familiarity with the OpenAI API or similar AI platforms.Experience preparing and managing datasets used for AI/ML model development.Previous experience collaborating with researchers or data scientists.Compensation & Benefits NoticeThe national pay range for this full-time position is base salary of $100,000 –$150,000 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.