Workflow Annotator — Product Management & Marketing

Role Title: Workflow Annotator — Product Management & Marketing Role Type: Contractor Location: Remote micro1 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 Work Design 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 Qualifications At 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