Ali I.

Key Skills

Software

Data Annotation Tech

Top Subject Matter

AI code evaluation and RLHF-style annotation

Document OCR and address validation workflow

Code debugging and documentation

Top Data Types

Document

Image

Text

Top Task Types

RLHF

Routing

Freelancer Overview

Project work: Android Marketplace App — RLHF-style annotation and code evaluation (Outlier.ai / Data Annotation). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Internal, and Proprietary Tooling. Education includes Bachelor of Science, The University of Texas at Arlington (2022). AI-training focus includes data types such as Computer Code, Programming, and Document and labeling workflows including RLHF and Routing.

Labeling Experience

Körber Supply Chain — Software Engineering Intern (image processing pipeline for address extraction/validation)

DocumentRouting

Built an image processing pipeline to extract and validate delivery addresses from scanned letter images by integrating OCR output with backend validation logic. Flagged mismatches between extracted text and validation results and routed problematic cases for rerouting before dispatch. Developed supporting backend services to process shipment tracking events. • Performed OCR-based address extraction from scanned letters • Validated extracted addresses against backend rules • Flagged mismatches and triggered rerouting logic • Implemented API support for shipment tracking event storage

2026 - Present

Project work: Android Marketplace App — RLHF-style annotation and code evaluation (Outlier.ai / Data Annotation)

OtherRLHF

Completed RLHF-style annotation and evaluation work on AI-generated code solutions, reviewing outputs for correctness, efficiency, and edge-case handling. Assessed multi-step coding prompts across Java, Python, and C++ and provided detailed rationale to improve model reasoning quality. Performed quality review and ranking of responses using external annotation platforms. • Reviewed and ranked AI-generated code solutions • Evaluated correctness, efficiency, and edge-case coverage • Provided rationale to improve reasoning quality • Used platforms such as Outlier.ai and Data Annotation

2025 - 2025

Education

Work History