Ali M.

Key Skills

Software

Remotasks

Top Subject Matter

LLM evaluation and AI response assessment

Text data annotation and dataset QA

AI dataset validation and annotation

Top Data Types

Text

Document

Top Task Types

Classification

Data Collection

Freelancer Overview

AI Data Trainer / AI Evaluator at Outlier AI (Remote, 2024–2025). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Outlier AI, Remotasks, and DataCurve. Education includes Bachelor of Computer Science, Ain Shams University (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Data Trainer / AI Evaluator at Outlier AI (Remote, 2024–2025)

Text

Evaluated AI-generated text responses for accuracy, reasoning quality, factual correctness, and adherence to project guidelines. Performed ranking and comparison tasks to support large language model performance improvements. Conducted quality assurance reviews to identify annotation inconsistencies and maintain reliable outputs. • Accuracy and factuality checks • Reasoning quality assessment • LLM response ranking and comparison • QA guideline compliance verification

2024 - 2025

Data Annotation Specialist at DataCurve (Remote, 2024)

TextData Collection

Validated and annotated datasets for machine learning and AI model training. Performed quality-control checks and data verification to improve dataset reliability. Reviewed edge cases to strengthen overall label consistency and usefulness for training. • Dataset validation and annotation • Data verification and QC • Edge-case review • Reliability improvements for ML training

2024 - 2024

AI Data Annotator at Remotasks (Remote, 2022–2024)

RemotasksTextClassification

Completed large-scale text annotation work involving classification, categorization, and quality-review tasks. Verified dataset consistency and corrected labeling errors according to strict annotation guidelines. Collaborated in distributed remote environments while meeting project deadlines. • Text classification and categorization • Dataset consistency verification • Label error correction • Guideline-driven quality reviews

2022 - 2024

Education

Work History