Yohannes

Key Skills

Software

Remotasks

Top Subject Matter

Autonomous browsing agents

Llms Domain Expertise

code evaluation

Top Data Types

Text

Image

Computer Code Programming

Top Task Types

RLHF

Entity (NER) Classification

Computer Programming/Coding

Bounding Box

Classification

Question Answering

Function Calling

Prompt + Response Writing (SFT)

Freelancer Overview

AI Training Data Specialist (LLM Trainer). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Turing and Remotasks. Education includes Bachelor of Science, Addis Ababa University (2019). AI-training focus includes data types such as Text and labeling workflows including RLHF and Entity (NER) Classification.

Labeling Experience

AI Training Data Specialist (LLM Trainer)

TextRLHF

As an AI Training Data Specialist (LLM Trainer) at Turing, I annotated and evaluated computer-use agent interactions to enhance the performance of LLM-driven agents. My work included labeling GUI navigation, evaluating click sequences, and assessing coding data quality in multiple languages. I also performed RLHF, response ranking, and quality checks for various LLM outputs. • Labeled agent task workflows, navigation, and click/interaction logs for autonomous browsing training. • Conducted RLHF tasks, including ranking, preference labeling, and evaluation of LLM outputs. • Curated and validated computer code datasets in Python, JavaScript, and TypeScript for code generation. • Assessed code correctness, efficiency, and style in software-related AI tasks.

As an AI Training Data Specialist (LLM Trainer) at Turing, I annotated and evaluated computer-use agent interactions to enhance the performance of LLM-driven agents. My work included labeling GUI navigation, evaluating click sequences, and assessing coding data quality in multiple languages. I also performed RLHF, response ranking, and quality checks for various LLM outputs. • Labeled agent task workflows, navigation, and click/interaction logs for autonomous browsing training. • Conducted RLHF tasks, including ranking, preference labeling, and evaluation of LLM outputs. • Curated and validated computer code datasets in Python, JavaScript, and TypeScript for code generation. • Assessed code correctness, efficiency, and style in software-related AI tasks.

2024 - Present

Data Annotation Specialist

RemotasksTextEntity Ner Classification

As a Data Annotation Specialist working with Upwork, Scale AI, and Remotasks, I completed a wide range of annotation projects in NLP, computer vision, and coding. I conducted text classification and NER labeling for sentiment analysis, intent detection, and entity extraction tasks. I also evaluated LLM-generated responses for factual accuracy and instruction-following quality. • Completed over 500 annotation and evaluation tasks, consistently achieving high accuracy. • Performed text labeling and named entity recognition (NER) for NLP pipelines. • Assessed LLM outputs for correctness, coherence, and relevance. • Applied annotation best practices using platforms like Scale AI and Remotasks.

As a Data Annotation Specialist working with Upwork, Scale AI, and Remotasks, I completed a wide range of annotation projects in NLP, computer vision, and coding. I conducted text classification and NER labeling for sentiment analysis, intent detection, and entity extraction tasks. I also evaluated LLM-generated responses for factual accuracy and instruction-following quality. • Completed over 500 annotation and evaluation tasks, consistently achieving high accuracy. • Performed text labeling and named entity recognition (NER) for NLP pipelines. • Assessed LLM outputs for correctness, coherence, and relevance. • Applied annotation best practices using platforms like Scale AI and Remotasks.

2023 - 2024

Education

Work History