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About Micro1: Role Title: AI Facial Data Collection ContributorLocation: RemoteJob SummaryGet paid from home in this fully remote AI training project by providing a few selfies and short videos of yourself through the past 5 years. Selfies and Videos will be used to train AI Data.Key Responsibilities:Submit high-quality and unedited selfies (30) and video recordings (10) of yourself through the past 5 years.Remove possible filters and edits from pictures/videos taken in the last 5 years.Follow the instructions carefully.Report any issues and follow feedback to improve future submissions.Required Skills and Qualifications:Must have clear selfies and videos ready to submit, captured with a smartphone or camera.Able to follow instructions and pay attention to detail.Comfortable working independently and reporting any issues if they arise.Compensation Structure:You will receive a one time payment after you submit the amount of selfies and videos required by the project.

About Micro1: Job DescriptionRole Title: Enterprise AI Workflow ExpertRole Type: ContractorLocation: Remotemicro1 is engaging Enterprise AI Workflow Expert to contribute to an innovative enterprise project, focusing on maximizing business productivity through advanced AI-driven solutions. 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 WorkApply professional experience in to evaluate and enhance AI model capabilities within real-world scenarios.Design, execute, and iterate agentic workflows that simulate critical professional processes, providing actionable insights for continuous model improvement.Pinpoint and analyze reasoning gaps, workflow limitations, and tool-use challenges in AI agent outputs, translating findings into detailed, constructive feedback.Develop comprehensive examples, test cases, and operational playbooks derived from your domain expertise and day-to-day professional activities.Partner with research and product stakeholders to communicate nuanced domain feedback and influence AI model development.Document workflow outcomes and contribute to best-practice libraries for AI agent adoption and enablement.Preferred QualificationsExtensive professional experience in Sales, Growth Product Management, Project Management, Finance, or a similar domain as long as AI agents are a regular part of your workflows.Proven ability to connect data sources, configure permission/authentication, and integrate AI agents with productivity tools and business systems.Hands-on experience as a workflow builder, not just an end user—demonstrated by designing, implementing, and operating multi-tool agentic workflows (e.g., with Gmail, Drive, Slack, Jira, MCP connectors, APIs, or platforms like Zapier, Make, n8n).Strong analytical skills for identifying AI model performance gaps and proposing creative solutions grounded in domain needs.Ability to articulate complex process requirements and improvement strategies to technical and non-technical audiences alike.Enthusiasm for advancing AI adoption and enablement within dynamic business environments.

About Micro1: Job DescriptionRole Title: Technical Problem Author (Multi-Domain)Role Type: ContractorLocation: Remotemicro1 is engaging Technical Problem Authors (Multi-Domain) to contribute to a customer's project focused on advancing the capabilities of AI technologies in engineering. 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 WorkAuthor and evaluate advanced technical problems in your area of expertise, such as Aerodynamics, Materials Science, CAD/Mechanical Design, Circuit Design, or Mechanical Engineering.Review and assess AI-generated technical responses for correctness, accuracy, and engineering relevance.Apply practical engineering judgment to real-world design, analysis, and failure scenarios, along with theoretical problem contexts.Analyze and troubleshoot complex, domain-specific issues, identifying ambiguities and proposing clarifications in technical statements and conditions.Provide structured feedback and clear written and verbal explanations to support and enhance AI learning and reasoning capabilities.Collaborate remotely with a network of technical experts and project participants to deliver high-quality domain input.Document insights and recommendations to inform continuous model improvement and refinement of problem statements.Preferred QualificationsAdvanced degree (MS or PhD) in a relevant engineering discipline, or substantial industry experience (8+ years for Aerodynamics/Circuit Design/Mechanical Engineering; 5+ years for CAD/Mechanical Design).At least 5 years of hands-on technical experience in your domain, such as mechanical design, aerodynamic analysis, materials selection, or circuit/system development.Demonstrated track record in technical problem authoring (e.g., olympiad problem committees, licensure exam item writing, academic qualifying-exam authorship, standards committee roles, or technical competition leadership).Flagship publications, patents, or industry awards recognized within your field, or evidence of technical rigor through competition results or committee service.Professional-level English proficiency and exceptional written and verbal communication skills are essential.Familiarity with industry-standard engineering tools (e.g., AutoCAD, CAD suites, CFD/FEA software, EDA tools, or lab equipment) relevant to your specialty.Experience working independently and remotely, contributing high-quality deliverables within required project timelines.Compensation Structure Compensation 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 & Availability We 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 DescriptionRole Title: Subject Matter Expert – Chart & Data Visualization Analysis (AI Training)Role Type: ContractorLocation: Remotemicro1 is selecting Subject Matter Experts – Chart & Data Visualization Analysis (AI Training) to contribute to a high-impact client project. 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. This opportunity is ideal for data-driven professionals with a meticulous eye for interpreting domain-specific charts, excellent quantitative reasoning, and a passion for communicating complex concepts clearly in both written and verbal form. Contributors from Medicine & Biostatistics, Finance & Economics, Engineering & Physics, Earth Sciences & GIS, Data Science & Statistics, or Operations & Manufacturing are especially encouraged to express interest.Scope of WorkInterpret and analyze domain-specific charts, graphs, and data visualizations with a high level of accuracy and domain terminology precision.Design clear, unambiguous questions that require multi-step quantitative reasoning based on information-rich charts.Develop objectively answerable tasks focused on in-depth reasoning, calculations, comparisons, and trend analysis.Provide precise answers along with detailed, step-by-step explanations of your reasoning and calculation process.Utilize correct chart terms, units, axes, scales, legends, confidence intervals, and time periods in all tasks and solutions.Collaborate remotely with project coordinators and reviewers, demonstrating strong written and verbal communication skills.Ensure tasks are clear, free from subjectivity, and avoid unsupported conclusions or unnecessary complexity.Preferred QualificationsBachelor's degree or equivalent professional experience in a relevant domain (Medicine, Finance, Engineering, Earth Science, Data Science, Operations, etc.).At least two years of professional, academic, or research experience working with domain-relevant charts or quantitative data.Advanced degree, professional credential, or significant industry specialization (highly desirable).Demonstrated ability to select and interpret complex charts, including those with multiple data series, annotations, or statistical features.Experience authoring technical assessments, benchmark questions, or structured analytical tasks for learning, analytics, or evaluation purposes.Proven ability to write unambiguous, objectively answerable questions and communicate calculations clearly in English.Remote collaboration and asynchronous communication experience with cross-functional technical or research teams.