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About Micro1: Job Title: German Language ExpertJob Type: Part-time, 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 ResponsibilitiesEdit and refine German language content for accuracy, tone, and contextual relevance across digital platforms.Translate documents and communications from English to German and vice versa, ensuring cultural nuance and clarity.Collaborate with AI Trainers to localize and optimize language models for the German-speaking market.Evaluate and provide feedback on AI-generated German text, contributing to ongoing language model improvements.Support content development and quality assurance processes for digital tools and software applications.Contribute linguistic expertise to interdisciplinary projects and cross-functional team initiatives.Maintain up-to-date knowledge of German language trends, usage, and best practices.Required Skills and QualificationsNative or near-native proficiency in German, with excellent command of grammar, spelling, and punctuation.Proven experience in translation, editing, and written communication in a professional setting.Strong familiarity with digital tools and content management systems.Keen attention to detail and a passion for linguistic precision.Demonstrated ability to adapt content for different audiences and digital formats.Exceptional written and verbal communication skills in both German and English.Experience with localization workflows and best practices.Preferred QualificationsBackground in AI training, language technology, or similar digital content environments.Experience working with interdisciplinary and remote teams.Knowledge of additional languages or localization tools.

About Micro1: Job Title: Galician Bilingual ExpertJob Type: Part timeLocation: 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:Transcribe Galician-language video content with meticulous attention to accuracy and clarity.Clearly outline and annotate precise timestamps for dialogue and scene changes.Analyze and describe the emotional tone and intent of speakers, capturing subtleties and mood shifts.Conduct advanced grammar, syntax, and tone analysis to ensure linguistic fidelity.Define and explain the conceptual meaning of words and idiomatic expressions within context.Collaborate with the customer's team to deliver insightful linguistic feedback and suggestions for improvement.Consistently meet complex language task requirements, adhering to a minimum commitment of 15 hours per week.Required Skills and Qualifications:Native or near-native proficiency in both Galician and English languages.Exceptional written and verbal communication skills, with a keen eye for linguistic detail.Proven experience in transcription, translation, or language analysis.Strong understanding of Galician and English grammar, syntax, and cultural context.Ability to identify, articulate, and describe speaker emotion and content tone.Technological proficiency and comfort working with digital content and collaborative platforms.High level of self-motivation and commitment to delivering quality work independently.Preferred Qualifications:Degree in Linguistics, Philology, Translation Studies, or related field.Experience with linguistic annotation or corpus analysis tools.Background in educational, research, or media translation projects.

About Micro1: Job DescriptionJob Title: Forward Deployed EngineerJob Type: Full-timeLocation: Remote / Travel-requiredThe RoleWe’re hiring a Member of Technical Staff, Forward Deployed to work directly with the world’s leading AI labs and enterprises as a technical research and implementation partner. This role sits at the intersection of applied AI, ML infrastructure, data intelligence, and partner-facing product development.You’ll help strategic partners define research directions, structure and curate high-quality data, implement ML and evaluation pipelines, and build the agentic systems that extend multi-turn agents and workflows in production. You should be comfortable moving between ambiguous research questions, technical architecture, hands-on engineering, and partner-facing execution.What You’ll Work OnWork directly with leading AI labs and enterprise partners to define research goals, technical requirements, and project direction.Build large-scale data intelligence systems for collecting, organizing, evaluating, and improving training and evaluation data.Implement ML pipelines for data curation, model training, evaluation, experimentation, and continuous improvement.Design data taxonomies, labeling systems, and quality frameworks that improve dataset structure, model performance, and research outcomes.Develop LLM applications, including multi-agent systems, tool-using agents, RAG workflows, evaluation harnesses, and human-in-the-loop systems.Partner with research and engineering teams to translate ambiguous AI problems into scoped technical projects and production systems.Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms.Build systems that help partners move from one-off AI experiments to reliable, repeatable, multi-turn agent workflows.Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, iteration, and partner success.What We're Looking ForAble to operate independently in ambiguous, partner-facing settings with strong technical and product ownership.Strong Python engineer with experience building and shipping production systems end to end.Experience working with LLMs, agentic systems, multi-turn workflows, tool use, RAG, or AI automation.Built or maintained data pipelines, ML infrastructure, evaluation systems, or research workflows.Strong understanding of data quality, taxonomy design, labeling workflows, and dataset curation for AI systems.Comfortable working directly with technical partners, researchers, founders, and enterprise stakeholders.Preferred QualificationsBackground at a startup, AI infrastructure company, applied AI company, or research-focused engineering team.Experience building systems for multi-turn agents, agent evaluation, workflow automation, or human-in-the-loop AI.Experience designing data taxonomies, annotation systems, evaluation rubrics, or dataset quality pipelines.Experience acting as a technical partner to external customers, research teams, or strategic enterprise accounts.Familiarity with modern LLM tooling, agent frameworks, model evaluation stacks, and ML experimentation platforms.Compensation & Benefits NoticeThe national pay range for this full-time position is base salary of $180,000 –$250,000 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: Software Engineer, micro PlatformsJob Type: Full-timeLocation: Remote (Must overlap PST timezone at least 6-8 hours)The RoleThis is a high-ownership fullstack role where you’ll contribute to — and grow into owning — core internal platform systems end-to-end. You’ll primarily work on building and improving the internal tools, services, and workflows that power our operations, products, and AI-driven infrastructure at scale.What You’ll OwnContribute to the design and development of end-to-end fullstack systems powering critical internal workflows and platform capabilities.Build clean, scalable backend services and APIs with clear contracts and ownership.Develop high-quality, performant frontend interfaces used by internal teams and stakeholders.Participate in data modeling and database performance optimization (schema design, query tuning, maintainability).Collaborate closely with product, operations, and design teams to translate ambiguous requirements into scalable systems.Improve platform reliability, observability, and developer experience across internal tooling.Uphold engineering quality through code reviews, testing, and continuous improvement.Help debug and resolve production issues while improving operational resilience.Make pragmatic tradeoffs between speed, scalability, and maintainability in a fast-moving environment.What You'll Be DoingExperience building or contributing to production fullstack systems (internships, projects, or professional experience).Strong TypeScript fundamentals across frontend and/or backend.Familiarity with backend development using Node.js (NestJS is a plus).Experience building user interfaces with React or similar frameworks.Understanding of relational databases such as PostgreSQL and core data modeling principles.Familiarity with RESTful APIs and distributed system communication patterns.Exposure to cloud platforms like AWS (or similar).Awareness of modern architectures (microservices, serverless, or event-driven systems).Strong problem-solving ability, ownership mindset, and attention to detail.Comfortable operating in ambiguous, fast-moving environments.PreferredExperience with CI/CD, infrastructure as code, or DevOps workflows.Experience building internal developer platforms, operational tooling, or workflow automation systems.Exposure to AI-adjacent, data-heavy, or ML-powered products.Experience working in startup, lab, or high-growth engineering environments.Familiarity with monitoring, observability, and platform reliability best practices.Compensation & Benefits NoticeThe national pay range for this full-time position is base salary of $120,000 –$155,000 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 Title: Robotics Evaluation SpecialistJob 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:Carefully follow detailed task instructions to execute physical actions on camera for robotics evaluation.Review and analyze system responses to your interactions, ensuring accurate performance assessments.Provide clear, structured written feedback on the accuracy of robotic system evaluations.Document observations and potential edge cases in a consistent, organized manner.Collaborate asynchronously with the customer’s team to refine evaluation protocols and share insights.Maintain a high standard of data integrity and confidentiality throughout all evaluation activities.Contribute to the continuous improvement of robotics evaluation pipelines based on real-world findings.Required Skills and Qualifications:Proven experience with robotics pipelines or related hands-on robotics projects.Exceptional attention to detail and the ability to notice subtle differences in task outcomes.Clear, concise written and verbal communication skills in English; native or near-native preferred.Ability to follow complex instructions precisely and reliably without deviation.Strong generalist mindset, comfortable handling a range of simple physical tasks on camera.Proficiency in documenting and reporting structured feedback.Reliable internet connection and suitable environment for remote video-based tasks.Preferred Qualifications:Experience with paused or historical robotics evaluation pipelines.Background in robotics engineering, human-computer interaction, or automation testing.Familiarity with providing evaluative feedback or participating in user testing cycles.