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About Micro1: Job Title: Community ManagerJob Type: Full-timeLocation: Remote - Latin AmericaJob Summary: Join our team as a dynamic Community Manager and play a pivotal role in creating a positive, collaborative, and engaged online environment. You will be at the forefront of customer support and community moderation, proactively resolving issues, answering questions, and ensuring a welcoming experience for all members. If you thrive in fast-paced remote settings and are eager to make a meaningful impact every day, this role is for you.Key Responsibilities:• Monitor and moderate online communities to ensure a safe, respectful, and inclusive atmosphere.• Address customer complaints and questions promptly with empathy and professionalism.• De-escalate conflicts and diffuse tense situations to maintain group harmony.• Develop proactive engagement strategies to foster a vibrant and active community.• Collaborate with internal teams to relay feedback and insights from the community.• Manage time efficiently to handle multiple conversations and tasks in a remote environment.• Create clear, friendly, and effective written and verbal communications across channels.Required Skills and Qualifications:• Proven experience in customer support and online community moderation.• Exceptional verbal and written communication skills; a genuine care for clear and empathetic messaging.• Strong conflict management and de-escalation abilities.• Self-starter attitude with high energy and a proactive approach to problem-solving.• Excellent time management skills in a remote work setting.• Keen attention to detail and ability to multitask under pressure.• Adaptable, with a willingness to go the extra mile to support community needs.Preferred Qualifications:• Background in managing large-scale online communities.• Experience with various community platforms and CRM tools.• Passion for building lasting relationships and driving positive user experiences.

About Micro1: Job DescriptionRole Title: Senior Platform EngineerRole Type: ContractorLocation: RemoteIn this role, you'll apply your cloud infrastructure and 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 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 DescriptionJob Title: Member of Technical Staff, Vulnerability ResearcherJob Type: Full-timeLocation: RemoteThe RoleWe're building AI systems that push the frontier of what software can do. As a Member of Technical Staff, Vulnerability Research, you'll operate like an internal adversary—discovering novel attack paths before anyone else does. You'll research emerging threats across AI agents, cloud infrastructure, developer platforms, and production systems, partnering closely with engineering to make our stack fundamentally more resilient.What You'll DoConduct advanced offensive security research across cloud infrastructure (AWS, GCP), production services, internal tooling, and AI platforms.Design and execute realistic adversary simulations targeting identity systems, cloud control planes, supply chains, and distributed architectures.Discover and exploit vulnerabilities across proprietary applications, APIs, infrastructure-as-code, CI/CD pipelines, and AI-powered developer workflows.Research emerging attack vectors against LLMs, AI agents, retrieval systems, MCP integrations, prompt orchestration, and autonomous workflows.Reverse engineer critical services to uncover architectural weaknesses, novel exploitation techniques, and previously unknown vulnerability classes.Simulate insider and advanced persistent threat scenarios, evaluating privilege escalation, lateral movement, and defense evasion techniques across modern enterprise environments.Build custom offensive tooling, automation frameworks, fuzzers, and proof-of-concept exploits to accelerate vulnerability discovery.Partner closely with infrastructure, product, and AI engineering teams to validate fixes, improve secure-by-design practices, and raise the overall security bar.Publish internal research, document attack methodologies, and help shape long-term security strategy.What We're Looking ForProven experience in offensive security, vulnerability research, red teaming, or exploit development.Deep understanding of cloud security across AWS and GCP, including IAM, networking, Kubernetes, containers, and identity systems.Strong background in application security, code auditing, reverse engineering, and vulnerability discovery.Experience identifying weaknesses across modern software supply chains, CI/CD systems, APIs, and infrastructure automation.Proficiency in Python, Go, Rust, C/C++, or similar languages used for security research and offensive tooling.Strong understanding of operating system internals, networking, authentication protocols, and modern security architectures.Ability to independently investigate ambiguous problems and develop novel attack techniques.Excellent written communication skills with the ability to explain complex vulnerabilities to engineering teams.PreferredExperience researching AI/LLM security, including agentic systems, prompt injection, tool abuse, indirect prompt attacks, jailbreaks, model manipulation, RAG security, or autonomous workflows.Experience discovering zero-day vulnerabilities, developing exploits, or contributing to offensive security research.Published CVEs, conference talks, blog posts, open-source security tooling, or participation in bug bounty programs.Experience with macOS internals, endpoint security, virtualization, or hardware-backed security technologies.Familiarity with fuzzing, symbolic execution, binary analysis, or compiler security.Contributions to the broader security research community.Compensation & Benefits NoticeThe national pay range for this full-time position is base salary of $150,000 –$200,000. 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 DescriptionRole Title: Manufacturing Design EngineerRole Type: ContractorLocation: Remotemicro1 is engaging Manufacturing Design Engineer experts to contribute to a customer’s project focused on advanced mechanical design for manufacturing. 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. Participants will leverage proficiency in FreeCAD or similar parametric CAD platforms to design, document, and validate production-ready components and assemblies. This opportunity is ideal for professionals passionate about precision engineering, technical documentation, and advancing the future of intelligent design tools.Scope of WorkCreate and modify detailed parametric 3D CAD models of mechanical parts and assemblies using FreeCAD or comparable software.Develop comprehensive engineering drawings, including GD&T and tolerance stack-ups, suitable for manufacturing handoff.Design for a variety of manufacturing processes, such as sheet metal fabrication, CNC machining, plastics, and injection molding.Perform CAD validation and quality assurance reviews to ensure model accuracy and readiness for production use.Prepare clear, concise technical documentation and assembly instructions as reference materials for AI model training.Incorporate feedback from technical reviewers to revise and improve CAD models and supporting documents.Preferred QualificationsMinimum 2 years’ experience designing mechanical components for manufacturing environments.Expertise in FreeCAD or similar parametric CAD software for advanced modeling, assemblies, and drawing generation.Hands-on exposure to sheet metal, CNC, plastics, and injection molding design considerations.Strong knowledge of GD&T, tolerance analysis, and Design for Manufacturing (DFM) best practices.Proven ability to produce production-grade CAD models and validate them against real-world manufacturability criteria.Exceptional written and verbal communication skills, ensuring clarity in documentation and collaborative exchanges.

About Micro1: Job DescriptionRole Title: Computer Vision Data Annotation SpecialistRole Type: ContractorLocation: Northern America, Latin America, Europe micro1 is engaging Computer Vision Data Annotation Specialists to contribute to a project advancing hand tracking and pose estimation technologies. 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 WorkReview and annotate images and video frames, focusing on detailed hand pose landmarks including wrists, finger joints, and fingertips.Validate the accurate identification of left and right hands in diverse scenarios.Detect, flag, and document edge cases such as occlusion, motion blur, gloves, multiple hands, and low-light conditions.Apply thorough annotation guidelines and quality rubrics to ensure data reliability and consistency.Maintain high accuracy and productivity when managing large datasets for computer vision training.Report ambiguous, challenging, or unclear cases to project leads for clarification and guidance.Perform quality assurance reviews on previously annotated data as needed.Preferred QualificationsProven experience in image or video annotation for machine learning or AI projects.Proficiency with annotation platforms.Strong attention to detail, spatial reasoning, and ability to follow intricate visual guidelines.Basic familiarity with computer vision concepts such as landmarks, bounding boxes, confidence scores, and ground truth labeling.Experience with hand or human pose estimation datasets, or frameworks.Background working on gesture recognition, sign language, AR/VR hand-tracking, or related datasets.Excellent written and verbal English communication skills for documenting findings and collaborating remotely.