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About Micro1: Job Title: Household Data Specialist - Video CaptureJob Type: ContractorLocation: Remote, US-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 U.S. household (kitchen, living spaces, and common items).Ability to upload large video files via stable, high-speed internet from your home 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:$30 per approved hour during the pilot phase$60 per approved hour after calibration, once quality benchmarks are consistently metAs a planning benchmark, expect roughly 2 hours of review work per 1 hour of approved data early on, an effective rate of $30/hr 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 DescriptionJob TitleCNC Manufacturing Documentation Reviewer / CNC Job Pack ExpertAbout the RoleWe are looking for experienced CNC manufacturing professionals to review real-world CNC job packs submitted by manufacturing companies, CNC shops, machinists, or production teams.The role involves checking whether submitted CNC documentation is authentic, technically relevant, complete, and suitable for use in an AI evaluation / manufacturing workflow research project.The submitted materials may include engineering drawings, CAD/CAM files, G-code, setup sheets, tooling lists, process plans, inspection reports, material certificates, control plans, job cards, and other manufacturing documentation.This is a reviewer role, not a design or programming role. The main responsibility is to evaluate the quality and completeness of submitted CNC job packs.ResponsibilitiesThe expert will be expected to:Review submitted CNC job packs and confirm whether they appear to come from real CNC manufacturing work.Check that files are not publicly available, AI-generated, generic, or artificially created.Verify whether all files belong to the same part, job, drawing number, customer part number, or production workflow.Evaluate technical completeness of each job pack.Review engineering drawings, ballooned drawings, tolerances, material specifications, setup sheets, tool lists, process flow charts, control plans, and inspection documents.Check whether CNC production artifacts such as G-code, CAM output, toolpath documents, or setup instructions are meaningful and connected to the job.Identify missing or weak artifacts.Flag confidential, personal, customer, or company-sensitive information that should be redacted.Provide a short quality assessment and recommendation: accept, accept with minor issues, request more information, or reject.Required ExperienceCandidates should have practical experience with at least some of the following:CNC milling and/or CNC turningReading engineering drawings and GD&T/tolerancesCNC setup sheets and machining instructionsCAD/CAM workflowsG-code / NC filesTooling lists and cutting toolsProcess routing / job cards / travelersInspection reports, QC checklists, CMM reports, or control plansMaterial certificates / mill test reportsReal shop-floor manufacturing documentationWhat You Will ReviewA strong CNC job pack may include:Customer request, RFQ, PO, or internal work orderJob card / route card / travelerEngineering drawing or ballooned drawingCAD files such as STEP, IGES, DXF, DWG, or native CADCAM files, toolpath exports, operation sheets, or setup sheetsG-code / NC filesTooling listCNC setup instructionsProcess flow chart or control planMaterial specification or mill test certificateRaw material inspection reportIn-process inspection reportFinal inspection report / CMM reportPhotos of the part, setup, fixture, or machining processCandidate RequirementsApplicants should:Have direct experience in CNC manufacturing, CNC programming, machining, or manufacturing quality control.Be comfortable reviewing technical drawings and manufacturing documents.Understand what real CNC job documentation looks like.Be able to identify incomplete, fake, public, or low-value files.Be detail-oriented and able to provide clear written feedback in English.Be available for part-time, project-based review work.

About Micro1: Job Title: Junior Software Engineer (Open 3D Engine)Job Type: ContractorLocation: RemoteJob Summary: Join our client's team as a Junior Software Engineer (Open 3D Engine) and play a pivotal role in training next-generation AI systems for 3D environments. You will leverage your O3DE expertise, spanning the Component Entity System, Atom Renderer, and physics simulations, to generate high quality, synthetic data, enabling AI models to learn, reason, and construct high performance, AAA quality digital worlds.Key Responsibilities:Design, develop, and implement interactive 3D scenes and simulations using Open 3D Engine (O3DE) for AI training purposes.Leverage the full suite of O3DE tools—including Atom Renderer, Component Entity System, Gems, and Asset Processor—to create high-fidelity, effective environments.Collaborate with the customer’s team to transform conceptual ideas into finished AI training workflows and simulations.Integrate Python and C++ scripts for enhanced functionality and automation within O3DE projects.Utilize AWS services to support robust, scalable 3D simulation deployment and asset management.Document processes and communicate progress clearly through strong written and verbal updates.Troubleshoot and optimize simulation performance, ensuring accuracy and efficiency for AI training objectives.Required Skills and Qualifications:Hands-on experience with O3DE (Open 3D Engine), including a deep understanding of core tools and asset workflows.Proficiency in Python and C++ for 3D scene development and automation.Experience building interactive 3D environments from concept to completion, tailored for simulation and AI training.Familiarity with Atom Renderer, Component Entity System, Gems, and Asset Processor within O3DE.Strong written and verbal communication skills, with the ability to clearly document and present technical concepts.Basic knowledge of AWS infrastructure and its application for cloud-based development and deployment.Background in game development, simulation, or real-time graphics projects.Preferred Qualifications:Previous experience working directly on AI training or simulation projects within O3DE.Exposure to asset management pipelines and collaborative development environments.Demonstrated initiative in adopting new O3DE tools and staying current with engine updates.

About Micro1: Job Title: Junior Post-Production Expert - LightworksJob 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. No prior experience in AI is required — your domain knowledge is what matters.Key Responsibilities:Review non-linear editing (NLE) workflows and validate AI-driven instructions for advanced trimming, console-based editing, and efficient bin management in Lightworks.Audit post-production processes, focusing on specialized features such as the Shark console, multi-cam functionalities, and VFX routing within the Lightworks environment.Evaluate AI recommendations for media format and codec compliance, ensuring seamless delivery for AVID/ProTools interchange and XML/EDL exports.Assess AI-generated user interface (UI) instructions, particularly regarding the fixed versus flexible layout options unique to Lightworks.Identify and troubleshoot complex project-sharing and metadata issues, providing feedback to improve AI system understanding.Ensure AI accurately describes workflows involving proxy media, local and linked files, and advanced media management.Verify the correct implementation of node-based effects and LUT adjustments within Lightworks projects.Required Skills and Qualifications:Demonstrated expertise in Lightworks, with an emphasis on rapid, keyboard-driven editing.Extensive experience in video production, editing, and composition within a professional or high-volume environment.Deep understanding of link-based versus local media workflows and proxy management in Lightworks.Strong proficiency with advanced VFX, color grading, and node-based effect implementation.Ability to resolve complex technical issues, including metadata errors and collaborative project challenges.Familiarity with industry-standard delivery formats, interchange protocols, and workflow optimization.Attention to detail and a commitment to delivering high-quality post-production results.Preferred Qualifications:Prior experience as a junior film editor, post-production specialist, or video producer with extensive Lightworks usage.Hands-on knowledge of multi-cam editing and advanced console operations (Shark console) in Lightworks.Background working with AI tools or evaluation processes within media production is a plus.Looking for motivated individuals eager to help shape the future of AI-assisted post-production as part of our customer's team. Your Lightworks expertise will have a direct impact on the next generation of video editing technology.

About Micro1: Job Title: Data ScientistJob 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. No prior experience in AI is required — your domain knowledge is what matters.Key Responsibilities:Design, develop, and implement advanced machine learning models for AI training initiatives.Analyze and interpret large, complex datasets to guide project strategies and decision-making.Collaborate with cross-functional teams to understand project requirements and deliver actionable insights.Evaluate the efficacy of data-driven solutions through rigorous validation and performance testing.Document methodologies, findings, and procedures with clarity and precision for technical and non-technical stakeholders.Maintain high standards of data quality, privacy, and security throughout all project phases.Continuously research and integrate cutting-edge data science techniques and tools into project workflows.Required Skills and Qualifications:Minimum 5 years of hands-on experience as a Data Scientist with a proven track record in AI/ML projects.Expert proficiency in Python, R, or similar programming languages for data analysis and model building.Strong knowledge of statistical analysis, data mining techniques, and machine learning algorithms.Exceptional written and verbal communication skills, enabling clear technical documentation and stakeholder collaboration.Experience working with large-scale, structured and unstructured datasets.Ability to work autonomously and proactively in a fully remote setting.Demonstrated commitment to detail, curiosity, and a passion for delivering data-driven solutions.Preferred Qualifications:Experience contributing to or leading AI training projects.Background in deep learning, NLP, or reinforcement learning frameworks.Familiarity with cloud-based data processing and model deployment tools (e.g., AWS, GCP, Azure).