Abraham Edet Akpan

Key Skills

Software

CrowdFlower

Data Annotation Tech

Figure Eight

OneForma

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Audio Recording

Classification

Data Collection

Evaluation Rating

Mapping

Freelancer Overview

I have hands-on experience in data labeling and AI training data projects, where I’ve contributed to improving model accuracy across multiple domains. Skilled in text, image, and audio annotation, I bring strong attention to detail and consistency that ensures high-quality datasets for machine learning applications. My background includes working with annotation tools, following detailed guidelines, and collaborating with teams to meet project goals efficiently. What sets me apart is my ability to adapt quickly to new tools and requirements, along with a commitment to precision and reliability. I take pride in producing training data that directly supports the development of advanced AI systems, making them smarter, more accurate, and user-friendly.

Labeling Experience

Data Annotator

OneformaVideoEmotion RecognitionAction Recognition

I contributed to a large-scale LLM project focused on improving video quality. My tasks involved labeling and reviewing video data, ensuring that model outputs were accurate, coherent, and aligned with project guidelines. This included evaluating grammar, fluency, factual consistency, and appropriateness of responses across diverse prompts. The project required handling high volumes of data with strict deadlines, while adhering to established quality standards and feedback loops. By maintaining accuracy and consistency, I supported the development of a more reliable and context-aware language model.

I contributed to a large-scale LLM project focused on improving video quality. My tasks involved labeling and reviewing video data, ensuring that model outputs were accurate, coherent, and aligned with project guidelines. This included evaluating grammar, fluency, factual consistency, and appropriateness of responses across diverse prompts. The project required handling high volumes of data with strict deadlines, while adhering to established quality standards and feedback loops. By maintaining accuracy and consistency, I supported the development of a more reliable and context-aware language model.

2025 - 2025

LLM evaluator

OneformaTextText Generation

I contributed to a large-scale LLM project focused on improving text generation quality. My tasks involved labeling and reviewing text data, ensuring that model outputs were accurate, coherent, and aligned with project guidelines. This included evaluating grammar, fluency, factual consistency, and appropriateness of responses across diverse prompts. The project required handling high volumes of data with strict deadlines, while adhering to established quality standards and feedback loops. By maintaining accuracy and consistency, I supported the development of a more reliable and context-aware language model.

I contributed to a large-scale LLM project focused on improving text generation quality. My tasks involved labeling and reviewing text data, ensuring that model outputs were accurate, coherent, and aligned with project guidelines. This included evaluating grammar, fluency, factual consistency, and appropriateness of responses across diverse prompts. The project required handling high volumes of data with strict deadlines, while adhering to established quality standards and feedback loops. By maintaining accuracy and consistency, I supported the development of a more reliable and context-aware language model.

2025 - 2025

Education

Work History