Muhammad Abubakar

Key Skills

Software

No software listed

Top Subject Matter

Large Language Models (LLMs)

AI Safety

Nlp Domain Expertise

Top Data Types

Text

Audio

Video

Document

Top Task Types

Prompt Response Writing SFT

Classification

Freelancer Overview

Independent AI Prompt Engineer & Data Annotator. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Google Workspace and Humanatic. Education includes Bachelor of Science, International Islamic University, Islamabad (2019). AI-training focus includes data types such as Text and Audio and labeling workflows including Prompt + Response Writing (SFT) and Classification.

Labeling Experience

Independent AI Prompt Engineer & Data Annotator

TextPrompt Response Writing SFT

As a freelance AI Prompt Engineer and Data Annotator, I specialized in creating, evaluating, and refining prompts and outputs for large language models. My work included RLHF-aligned response rating, safety and bias detection, red-teaming, and high-accuracy annotation workflows. I ensured that all labeling and evaluation tasks adhered to strict quality standards with minimal supervision. • Developed and iteratively tested over 100 custom prompts for LLMs, enhancing generative tasks. • Evaluated and rated AI-generated text output against factuality, safety, and instruction-following criteria. • Applied adversarial and bias detection strategies to improve model robustness. • Used Google Workspace, Outlier, Appen, and Remotasks to support comprehensive workflow needs.

As a freelance AI Prompt Engineer and Data Annotator, I specialized in creating, evaluating, and refining prompts and outputs for large language models. My work included RLHF-aligned response rating, safety and bias detection, red-teaming, and high-accuracy annotation workflows. I ensured that all labeling and evaluation tasks adhered to strict quality standards with minimal supervision. • Developed and iteratively tested over 100 custom prompts for LLMs, enhancing generative tasks. • Evaluated and rated AI-generated text output against factuality, safety, and instruction-following criteria. • Applied adversarial and bias detection strategies to improve model robustness. • Used Google Workspace, Outlier, Appen, and Remotasks to support comprehensive workflow needs.

2024 - Present

Call Review Analyst

HumanaticAudioClassification

As a Call Review Analyst at Humanatic, I conducted high-volume data annotation and labeling on customer interaction audio data. This involved classifying, reviewing, and extracting key information from call recordings utilizing both manual and AI-assisted annotation platforms. I maintained strict adherence to quality assurance guidelines throughout ongoing shifts. • Analyzed thousands of customer interaction audio files for errors, patterns, and insights. • Utilized Humanatic’s AI-assisted systems to streamline review and annotation processes. • Ensured consistent output quality through remote, independent work. • Supported transition to advanced company platforms for more effective annotation.

As a Call Review Analyst at Humanatic, I conducted high-volume data annotation and labeling on customer interaction audio data. This involved classifying, reviewing, and extracting key information from call recordings utilizing both manual and AI-assisted annotation platforms. I maintained strict adherence to quality assurance guidelines throughout ongoing shifts. • Analyzed thousands of customer interaction audio files for errors, patterns, and insights. • Utilized Humanatic’s AI-assisted systems to streamline review and annotation processes. • Ensured consistent output quality through remote, independent work. • Supported transition to advanced company platforms for more effective annotation.

2022 - Present

Education

Work History