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About Micro1: Job DescriptionRole Title: InfoSec ExpertRole Type: ContractorLocation: Remotemicro1 is engaging InfoSec Experts to contribute to a high-impact project for one of our customers in the enterprise SaaS space. 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 WorkDesign and define comprehensive red-teaming workflows and adversarial scenarios targeting SaaS and cloud-based environments.Conduct hands-on penetration testing and adversarial threat modeling across platforms such as Microsoft 365, Google Workspace, Slack, GitHub, and Snowflake.Act as a senior reviewer, critically evaluating the quality and depth of red-teaming exercises and deliverables.Identify and document potential vectors for misuse or manipulation of AI agents, including prompt injection, privilege escalation, data exfiltration, and destructive actions.Contribute practical insights for developing and vetting security controls, policies, and detection strategies relevant to real-world SaaS environments.Collaborate with other cybersecurity professionals, providing detailed written and verbal feedback on findings and improvements.Support benchmarking initiatives by creating adversarial scenarios that reflect contemporary threats and attack methodologies.Preferred QualificationsExtensive hands-on experience in security domains such as red teaming, penetration testing, application/cloud security, or security engineering.Deep understanding of enterprise SaaS security concepts including identity, RBAC/permissions, and data governance.Direct familiarity with Microsoft 365, Google Workspace, Slack, GitHub, and Snowflake from a security evaluation perspective.Demonstrated ability to think adversarially about how AI and SaaS platforms could be exploited or compromised.Strong written and verbal communication skills, enabling clear articulation of complex security issues and recommended remediations.Proven track record of practical, real-world impact in security projects—beyond simply listing experience on a resume.Bonus: Prior experience in AI/LLM security or adversarial testing of agent-based systems.

About Micro1: Job DescriptionRole Title: Workflow Annotator — Software EngineeringRole Type: ContractorLocation: Remotemicro1 is engaging Workflow Annotator — Software Engineering experts to contribute to a dynamic customer project focused on building a library of realistic, multi-step engineering workflows. 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 WorkDesign and author detailed, multi-step task scenarios reflecting authentic software engineering activities, such as pull request management, issue triage, merge conflict resolution, and CI configuration updates using GitHub.Execute and document each workflow in real time within actual tools, capturing every step, rationale, edge case, and decision point to ensure comprehensive and accurate records.Integrate supplemental collaboration tools where appropriate (Slack, Microsoft 365/Google Workspace, Snowflake) to create end-to-end scenarios mirroring real engineering processes.Produce clear, structured documentation for each workflow, including step sequencing, intent at each stage, expected outcomes, and visual artifacts (screenshots, logs) as needed for effective annotation.Flag ambiguous or unrealistic scenarios to the data program team and refine workflows based on feedback to maximize realism and utility for annotation purposes.Work within the Agora internal annotation platform to submit deliverables and collaborate with project leads.Preferred QualificationsMinimum 2 years of professional experience in software engineering with daily use of GitHub-centered workflows.Strong command of written English, with an emphasis on clarity, consistency, and attention to detail in documenting processes for others to follow.Hands-on familiarity with Slack and Microsoft 365 or Google Workspace as part of regular engineering activities.Experience designing or participating in code review, versioning, branching, or release workflows.Exposure to CI/CD pipelines, code review platforms, or systems for process documentation is an advantage.Basic skills in SQL (preferably with Snowflake) are a plus, though not required.Prior experience with data annotation, technical writing, or QA documentation is a bonus.

About Micro1: Job DescriptionRole Title: Workflow Annotator — Finance & Data AnalysisRole Type: ContractorLocation: Remotemicro1 is engaging Workflow Annotator — Finance & Data Analysis experts to contribute to a customer project focused on enhancing real-world finance and data workflows. 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 engagement centers on capturing, annotating, and documenting authentic, multi-step finance workflows using data warehouse and spreadsheet tools, with a strong emphasis on accuracy, realism, and security. Assignments are carried out in a contract/freelance capacity via Agora, our internal annotation platform, with flexible, self-directed participation and clear project deliverables.Scope of WorkDesign and document detailed, multi-step finance/data analyst workflows reflecting authentic tasks such as data pulls, reconciliation, model building, reporting, and analysis.Independently execute each workflow using real tools (e.g., Snowflake, Excel/Sheets), capturing every step, decision, and relevant input/output.Integrate adjacent collaboration tools naturally into workflows, such as Slack threads for cross-functional coordination or shared documents for distribution and feedback.Provide comprehensive documentation for each scenario in Agora, including clear step-by-step instructions, rationale, formulas, queries, and illustrative screenshots or results.Identify and flag ambiguous or edge-case scenarios to the project team and incorporate feedback to improve workflow accuracy and coverage.Uphold high standards of data security and privacy in all documentation and workflow execution.Preferred QualificationsMinimum 2 years of hands-on experience in FP&A, accounting, financial analysis, or data analytics with practical exposure to advanced spreadsheets and data warehousing tools (e.g., Snowflake).Ability to write robust SQL queries for reporting, reconciliation, and ad hoc analysis tasks.Demonstrated accuracy, attention to detail, and reliability in producing financial workflows and documentation.Strong written and verbal communication skills, with the ability to explain complex steps and context to annotators unfamiliar with the work.Familiarity with collaborative tools such as Slack and Microsoft 365/Google Workspace as part of finance/data workflows.Experience with financial modeling, forecasting, or BI dashboards (Looker, Tableau, Power BI) is a plus.Background in data annotation, process documentation, or QA is an advantage.

About Micro1: Job DescriptionRole Title: Workflow Annotator — Product Management & Marketing Role Type: ContractorLocation: Remotemicro1 is engaging Workflow Annotator — Product Management & Marketing professionals to participate in a unique project for a customer. 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 WorkDesign and document authentic, multi-step product management and marketing workflows reflecting real practices in collaboration tools such as Slack, Microsoft 365, and Google Workspace.Execute each workflow directly in the respective platforms, meticulously capturing each action, decision point, and outcome.Integrate adjacent tools into scenarios where appropriate — for example, referencing a Slack thread, a shared Google Doc, or pulling metrics from Snowflake to enrich workflow realism.Create clear and concise workflow documentation for annotation on Agora, including step-by-step sequences, intent behind actions, expected deliverables, and helpful visuals.Identify and flag ambiguous or unrealistic scenarios, collaborating with the data program team to refine and iterate workflows based on feedback.Ensure accuracy and consistency across all submissions, prioritizing realism and clarity over speed.Utilize strong written and verbal communication skills to ensure documentation is easily understandable by annotators not present for the original workflow execution.Preferred QualificationsAt least 2 years of hands-on experience in product management, product marketing, or growth/marketing roles, with frequent use of Slack and either Microsoft 365 or Google Workspace.Demonstrated ability to craft business-critical documents such as PRDs, briefs, trackers, roadmaps, and executive readouts.Proven experience coordinating across functions and documenting complex, multi-tool processes clearly and thoroughly.Exceptional attention to detail and a commitment to delivering high-quality, structured documentation.Excellent written and verbal communication skills, with a focus on clarity for a diverse audience.Familiarity with product analytics or business intelligence tools (e.g., Amplitude, Looker, Tableau, Power BI) is a plus.Exposure to basic SQL, Snowflake, or GitHub issue management is desirable but not required.

About Micro1: Job Title: Household Data Specialist - Video Capture (PH)Job Type: ContractorLocation: Remote, Vietnam-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.