Umoru Mubarak
I’m Umoru Mubarak, an analytical AI Data Annotator and domain specialist with strong experience bridging quantitative analysis and practical execution.
About
I’m Umoru Mubarak, an analytical AI Data Annotator and domain specialist with strong experience bridging quantitative analysis and practical execution. I focus on high-fidelity, high-density multimodal labeling (text, audio, and images), building reliable taxonomies, and validating edge cases to ensure outputs meet strict accuracy and safety requirements.
I also enjoy evaluating LLM responses side-by-side using truthfulness, helpfulness, and safety constraints (including hallucination detection and fact-checking). Alongside my AI work, I manage day-to-day financial modeling and operations for an agribusiness, where I translate real-world crop and processing metrics into stable projections—so my work stays grounded in business outcomes.
- 3 years' experience
- Joined September 2026
Industry experience
- Financial Services
- Agriculture & Mining
- Education
- Professional Services
Work experience
Executed high-density multimodal annotation projects across text, audio, and image formats while maintaining exceptional client quality ratings. Conducted rigorous side-by-side (SxS) comparisons of LLM responses, evaluating outputs for truthfulness, helpfulness, and compliance with safety constraints. Audited complex financial and analytical text prompts to reduce hallucinations and ensure strict adherence to domain-specific accuracy guidelines.
Directed daily operations and financial modeling for an 11-acre commercial farm producing high-value cash crops and perennial trees (oil palm and cashew). Applied structured data classification methods to track crop yields, soil metrics, and volume processing losses. Analyzed market price fluctuations and supply-chain logistics to translate real-world asset data into stable financial projections.
Education
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