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About Micro1: Job Title: Member of Technical Staff, RoboticsJob Type: Full-timeLocation: RemoteJob Summary:Join us to help define the future of robotics data. As a Robotics Researcher, you’ll work at the forefront of R&D—shaping how embodied data is collected, structured, and used for robot learning and perception.What You’ll Do:Define and standardize robotics data formats, schemas, and benchmarks.Design innovative data collection methods (human demos, teleop, sensors).Collaborate with cross-functional teams to align on model training data.Evaluate datasets for diversity, scalability, and impact.Prototype experiments and tools for efficient data gathering.Stay updated on leading labs (Tesla, Figure, 1X) and integrate best practices.What You Bring:2–5+ years in robotics R&D, data engineering, or applied research.Strong grasp of robotics data pipelines and multimodal schemas (RGB-D, IMU, pose, language).Experience in robot perception, control, or data-driven learning.Excellent communicator with cross-disciplinary collaboration skills.Degree in Robotics, CS, EE, or related field.Bonus Points:Experience at top robotics or AI companies.Familiarity with embodied AI datasets or imitation learning pipelines.Hands-on sensor prototyping experience.Compensation & Benefits NoticeThe national pay range for this full-time position is base salary of $240,000 –$320,000 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, Frontier AIJob Type: Full timeLocation: RemoteAbout Us:micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.The 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 $280,000 –$350,000 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: Household Data Specialist - Video Capture (PH)Job Type: ContractorLocation: Remote, Philippines-based.Job SummaryHelp train the next generation of personal robotics. You'll capture high-quality video demonstrations of everyday household tasks using a UMI gripper, a wearable device that mimics a robot's hand while letting you perform tasks naturally. Your demonstrations become training data that teaches robots how to operate in real homes.Key ResponsibilitiesCapture and submit high-quality, specification-compliant video demonstrations of everyday household tasks using a UMI gripper wearable device.Follow detailed, task-specific instructions to ensure all recordings meet rigorous project standards.Review feedback from assigned reviewers and iteratively refine your approach to improve data quality.Operate and set up recording equipment and the UMI gripper to accurately mimic real-world hand movements while performing tasks.Communicate proactively and clearly with the customer’s project team, both in writing and verbally.Maintain a consistent weekly workflow to meet the minimum approved data requirements.Required Skills and QualificationsKeen attention to detail and demonstrated ability to follow complex specifications precisely.Manual dexterity and experience with physical task precision in varied household environments.Comfort with operating, wearing, and setting up specialized devices and recording equipment.Capacity to incorporate feedback and make iterative improvements to processes and outputs.Strong written and verbal communication skills, including openness to prompt feedback exchanges.Reliable access to a fully equipped Philippine household environment (kitchen, living spaces, and common items).Ability to upload large video files via stable, high-speed internet from your home environment.This role involves prolonged use of a VR headset; candidates should be comfortable with extended wear as part of their regular work environment.Preferred QualificationsGenuine curiosity about personal robotics, AI, and emerging technology in home environments.Prior experience participating in data collection, usability studies, or similar hands-on projects.Patience for repetitive, precision-oriented work and willingness to adapt as project needs evolve.Compensation structureThis is a Pay-Per-Task (PPT) project. You're paid per hour of approved data that meets the project specifications, with an initial rate per approved hour during the pilot phase and an improved rate and per approved hour after calibration, once quality benchmarks are consistently met.As a planning benchmark, expect roughly 2 hours of review work per 1 hour of approved data early on, an effective rate of a fixed hourly rate at the pilot stage. That ratio typically improves with familiarity, and the post-calibration rate compounds the upside.Start Timeline & AvailabilityWe typically fill roles within 48 hours, so we're looking for teammates who are ready to jump in. If selected, we'd love for you to start your first task as soon as you move forward with your application. The expectation is to begin completing tasks within ~24 hours of completing onboarding.Equipment RequirementsThis project involves performing household tasks while wearing a VR headset and a pair of wearable hand-tracking gloves that capture your hand movements and the visual demonstration. All equipment will be shipped to you at no cost, with full setup and usage instructions provided during onboarding. Please ensure your home environment meets the space, lighting, and connectivity requirements covered during onboarding.

About Micro1: Job Title: Corporate Finance ExpertJob 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. Key Responsibilities:Design technically demanding finance prompts and tasks that mirror investment banking, private equity, and corporate finance complexityDevelop gold-standard solutions in Excel and PowerPoint to set objective benchmarks for AI model evaluationCreate and refine clear grading rubrics for assessing AI outputs on transaction and modeling exercisesConstruct, modify, and review advanced financial models (3-statement, valuation, LBO, M&A, sensitivity analyses)Produce transaction analyses and investment materials with a client-ready, production-grade level of detailDevelop and adapt professional templates, decks, and supporting materials commonly used across IB, PE, and Corp DevEnsure all deliverables are precise, unambiguous, and uphold industry standardsRequired Skills and Qualifications:Hands-on experience in financial modeling, valuation, and transaction analysisAdvanced Excel proficiency, including scenario analysis and model integrity checksExpertise in building polished, professional PowerPoint presentations and investment decksStrong familiarity with standard IB/PE/Corp Dev templates and processesProven track record working on live deals, investments, or transaction executionExceptional written and verbal communication skills, with a keen eye for detail and clarityAbility to independently produce client-grade financial materials under tight timelinesPreferred Qualifications:Experience evaluating or testing AI models, or developing technical prompts and assessmentsExposure to multiple finance domains (e.g., IB to PE, consulting to Corp Dev)Prior work creating training data or technical assessments for advanced technology initiatives