Micro1
Financial Analysis
Workflow Annotator — Finance & Data Analysis
Job Description
Role Title: Workflow Annotator — Finance & Data Analysis
Role Type: Contractor
Location: Remote
micro1 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 Work
Design 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 Qualifications
Minimum 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
Micro1 is building the essential infrastructure for the next generation of artificial intelligence, moving beyond the limitations of static datasets to create a dynamic ecosystem where models truly learn to think and act. At its core, the company understands that the path to frontier intelligence isn't paved with synthetic data alone; it requires the nuance, judgment, and contextual awareness that only expert human guidance can provide. By positioning itself at the intersection of human expertise and advanced reinforcement learning, Micro1 is tackling the hardest problem in AI today: teaching models not just to answer questions, but to reason through complexity and take meaningful actions in unpredictable, real-world environments.
This mission comes to life through Realm, Micro1's flagship training environment. Realm functions as a high-fidelity simulation ground where AI agents are immersed in scenarios that closely mirror the messiness of actual human workflows. Rather than relying on abstract benchmarks, Realm forces models to engage in agentic actions, multi-step decisions, digital navigation, coding, and problem-solving that require genuine comprehension. It is within these realistic sandboxes that world-class human data is generated, creating a continuous feedback loop where expert annotators observe, correct, and guide model behavior. This process does more than just fine-tune outputs; it fundamentally elevates a model's underlying reasoning architecture, ensuring that the intelligence developed in training holds up when deployed into the wild.
But training is only half the equation. Micro1 recognizes that the true test of an AI system lies in its production performance, which is where Cortex enters the picture. Cortex is a contextual evaluation platform designed to move beyond superficial accuracy metrics and provide a granular, real-time view of how agents behave in live settings. It doesn't just flag errors; it surfaces the underlying context behind failures, revealing why an agent struggled with a particular user intent or environmental variable. This insight is invaluable for engineering teams, as it transforms evaluation from a passive checkpoint into an active improvement tool. With Cortex, companies can catch degradation early, understand the nuances of edge cases, and feed those learnings directly back into Realm for retraining, creating a virtuous cycle of continuous advancement.
Ultimately, Micro1 is not merely a data lab or an evaluation tool it is a comprehensive intelligence engine that connects the entire lifecycle of model development. From the expert human feedback that sharpens raw capability, to the realistic RL environments that forge robust agentic behavior, to the contextual oversight that ensures reliability in production, Micro1 provides the integrated foundation that AI labs and enterprises desperately need. As the industry races toward truly autonomous systems, Micro1 stands as the critical bridge between laboratory breakthroughs and dependable, real-world impact, ensuring that frontier models do not just perform well on paper, but deliver genuine value in the complex, dynamic world they are meant to serve.