Salah M.

Key Skills

Software

Telus

Data Annotation Tech

CloudFactory

CVAT

iMerit

Labelbox

LabelImg

Mercor

Micro1

Mindrift

OneForma

Top Subject Matter

artificial intelligence

Top Data Types

Video

Text

Image

Top Task Types

Transcription

Data Collection

Prompt + Response Writing (SFT)

Computer Programming/Coding

Question Answering

Object Detection

Classification

Freelancer Overview

I am an experienced AI Output Review Specialist and Content Quality Analyst with over six years of hands-on experience in data labeling, AI training data evaluation, and large language model (LLM) quality assurance. I have worked with industry-leading organizations, including Data Annotation Tech, Sama, and Lionbridge AI (TELUS International), reviewing and evaluating tens of thousands of AI-generated outputs across creative, factual, instructional, and conversational use cases. I apply structured scoring rubrics to assess accuracy, coherence, relevance, and tone, and have consistently maintained a personal quality rating above 97% while exceeding daily productivity benchmarks. What sets me apart is the combination of a strong academic foundation — an MSc in Data Science & AI from Strathmore University with a specialization in NLP — and years of practical, real-world annotation and review experience. I have contributed to RLHF pipelines, flagged hallucinations and biased content, led calibration sessions to improve inter-rater reliability, and mentored junior reviewers. My research background at the University of Nairobi, where I co-authored work on low-resource language modelling in Swahili and English, gives me a unique edge in multilingual and culturally nuanced annotation tasks.

Education

Work History