Rami Bakeer

Key Skills

Software

Data Annotation Tech

Other

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I’m an AI training contributor with 1–3 years of experience in data labeling, prompt evaluation, and language model alignment. I’ve worked on tasks ranging from ranking AI-generated responses and identifying model failures to writing high-quality prompts and analyzing data. My experience includes projects through platforms like Data Annotation Tech and Stellar, where I focused on large language model fine-tuning, evaluation, and giving instructions. My ability to understand both the technical and linguistic side of AI training allows me to improve model outputs while meeting strict quality guidelines. I’m passionate about helping developing helpful and scalable AI systems.

Labeling Experience

Autonomous Web Navigation Prompting & Evaluation

OtherImageText GenerationAction Recognition

Worked on a project focused on training large language models to autonomously browse and interact with real-world websites. Created prompts instructing the AI to complete specific tasks such as finding a product, accessing account settings, or retrieving specific pieces of information across varied website types. Evaluated and annotated the AI’s actions step-by-step, including its reasoning, missteps, corrections, and decision-making logic. Simulated realistic navigation challenges, introduced deliberate errors, and documented how effectively the model recovered. Helped improve model behavior for agentic web-based reasoning by identifying failure points and providing feedback.

Worked on a project focused on training large language models to autonomously browse and interact with real-world websites. Created prompts instructing the AI to complete specific tasks such as finding a product, accessing account settings, or retrieving specific pieces of information across varied website types. Evaluated and annotated the AI’s actions step-by-step, including its reasoning, missteps, corrections, and decision-making logic. Simulated realistic navigation challenges, introduced deliberate errors, and documented how effectively the model recovered. Helped improve model behavior for agentic web-based reasoning by identifying failure points and providing feedback.

2024

LLM Prompt Evaluation and Instruction Tuning

Data Annotation TechTextClassificationText Summarization

Trained AI projects focusing on evaluating LLM responses and writing high-quality instruction-following completions. Tasks included prompt generation, rewriting responses for clarity and helpfulness, ranking model outputs, identifying safety or factuality issues, and refining outputs for tone and alignment. Worked within strict quality guidelines to ensure consistency, diversity, and safety across examples. Projects involved both single-turn and multi-turn dialogue tasks. Collaborated asynchronously through platform guidelines and performance reviews.

Trained AI projects focusing on evaluating LLM responses and writing high-quality instruction-following completions. Tasks included prompt generation, rewriting responses for clarity and helpfulness, ranking model outputs, identifying safety or factuality issues, and refining outputs for tone and alignment. Worked within strict quality guidelines to ensure consistency, diversity, and safety across examples. Projects involved both single-turn and multi-turn dialogue tasks. Collaborated asynchronously through platform guidelines and performance reviews.

2023 - 2024

Education

Work History