Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Daniel Agbenyo, an AI Trainer and LLM Evaluator based in Accra, Ghana. I operate within production-grade human-in-the-loop evaluation pipelines, with 2+ years of hands-on experience in RLHF data generation, side-by-side evaluation, rubric-based scoring, prompt engineering, and multi-modal annotation across platforms used by leading AI companies. I’m passionate about shaping AI behavior, safety, and alignment through rigorous evaluation and practical feedback. I bring a strong analytics toolkit (SQL, Python, Power BI) and a practical understanding of supervised learning and preference ranking. I’m comfortable working asynchronously in remote environments, meeting stringent quality SLAs at scale, and I excel at translating evaluation insights into actionable improvements and high-quality training data for model iterations.…Hi, I’m Daniel Agbenyo, an AI Trainer and LLM Evaluator based in Accra, Ghana. I operate within production-grade human-in-the-loop evaluation pipelines, with 2+ years of hands-on experience in RLHF data generation, side-by-side evaluation, rubric-based scoring, prompt engineering, and multi-modal annotation across platforms used by leading AI companies. I’m passionate about shaping AI behavior, safety, and alignment through rigorous evaluation and practical feedback. I bring a strong analytics toolkit (SQL, Python, Power BI) and a practical understanding of supervised learning and preference ranking. I’m comfortable working asynchronously in remote environments, meeting stringent quality SLAs at scale, and I excel at translating evaluation insights into actionable improvements and high-quality training data for model iterations.

Daniel Agbenyo

Data Analyst, Data Annotator, Data Visualizer, +3





Hi, I’m Daniel Agbenyo, an AI Trainer and LLM Evaluator based in Accra, Ghana. I operate within production-grade human-in-the-loop evaluation pipelines, with 2+ years of hands-on experience in RLHF data generation, side-by-side evaluation, rubric-based scoring, prompt engineering, and multi-modal annotation across platforms used by leading AI companies. I’m passionate about shaping AI behavior, safety, and alignment through rigorous evaluation and practical feedback. I bring a strong analytics toolkit (SQL, Python, Power BI) and a practical understanding of supervised learning and preference ranking. I’m comfortable working asynchronously in remote environments, meeting stringent quality SLAs at scale, and I excel at translating evaluation insights into actionable improvements and high-quality training data for model iterations.…Hi, I’m Daniel Agbenyo, an AI Trainer and LLM Evaluator based in Accra, Ghana. I operate within production-grade human-in-the-loop evaluation pipelines, with 2+ years of hands-on experience in RLHF data generation, side-by-side evaluation, rubric-based scoring, prompt engineering, and multi-modal annotation across platforms used by leading AI companies. I’m passionate about shaping AI behavior, safety, and alignment through rigorous evaluation and practical feedback. I bring a strong analytics toolkit (SQL, Python, Power BI) and a practical understanding of supervised learning and preference ranking. I’m comfortable working asynchronously in remote environments, meeting stringent quality SLAs at scale, and I excel at translating evaluation insights into actionable improvements and high-quality training data for model iterations.

Available to hire

Hi, I’m Daniel Agbenyo, an AI Trainer and LLM Evaluator based in Accra, Ghana. I operate within production-grade human-in-the-loop evaluation pipelines, with 2+ years of hands-on experience in RLHF data generation, side-by-side evaluation, rubric-based scoring, prompt engineering, and multi-modal annotation across platforms used by leading AI companies. I’m passionate about shaping AI behavior, safety, and alignment through rigorous evaluation and practical feedback.

I bring a strong analytics toolkit (SQL, Python, Power BI) and a practical understanding of supervised learning and preference ranking. I’m comfortable working asynchronously in remote environments, meeting stringent quality SLAs at scale, and I excel at translating evaluation insights into actionable improvements and high-quality training data for model iterations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Annotations Specialist at Aya Data

August 1, 2025 - August 1, 2025

Delivered precision annotations across diverse datasets improving accuracy by 15% through structured feedback and quality assurance. Specialized in advanced labeling strategies and contributed to high-impact AI/ML projects ensuring high-quality datasets for client success.

Data Annotations Intern at Aya Data

August 1, 2023 - August 1, 2023

Trained on diverse annotation techniques and platforms while embracing company values to support AI dataset preparation. Built foundational skills in data labeling for multimedia formats, contributing to team efficiency and project readiness.

IT Support Intern at Social Security and National Insurance Trust (SSNIT)

October 1, 2022 - October 1, 2022

Provided comprehensive IT support, troubleshooting hardware, software, and network issues to minimize downtime. Assisted in network monitoring and user support, enhancing operational reliability.

Manager at LIPINDAN Neighbourhood Car Wash

March 1, 2020 - November 6, 2025

Digitized company records into spreadsheets, enabling advanced analysis and data-driven decision-making. Launched a home pickup service that increased customer retention by 30%.

AI Trainer — LLM Evaluation at Micro1

August 1, 2025 - Present

Serve as a critical human-in-the-loop across the full LLM training and evaluation lifecycle—from dataset creation through post-deployment quality assessment—shaping model behavior, safety, and alignment for production-grade large language models. Conduct Side-by-Side (SxS) evaluation of AI-generated outputs using structured rubrics to assess accuracy, relevance, coherence, instruction-following, tone, and safety; generate preference signals used in RLHF pipelines. Design, stress-test, and refine prompts across diverse domains and edge cases; identify failure modes, ambiguous outputs, and policy violations; provide actionable feedback to ML engineering teams for rapid iteration. Author and curate high-quality training datasets; execute scenario-based testing; and produce structured evaluation reports that track model improvement metrics.

AI Data Specialist — Annotation & Model Training at Aya Data

November 1, 2023 - August 31, 2025

Delivered precision multi-modal annotations (3D models, video, image, audio, text) across enterprise AI/ML pipelines; specialized in segmentation masks, keypoints, polygons, and bounding boxes using Labelbox, V7, Cydar Medical, Open Solar, and Kognic. Contributed to model training projects spanning agricultural AI, autonomous systems, computer vision, renewable energy AI, and medical imaging; conducted QA reviews of peer annotations and enforced taxonomy compliance; collaborated with PMs and ML engineers to scope tasks and resolve edge cases under tight deadlines.

Data Annotations Intern (Remote) at Aya Data

July 1, 2023 - August 31, 2023

Onboarded to enterprise annotation workflows and platforms (Labelbox); built foundational competency in data labeling for multimedia formats; contributed to team throughput and project readiness from the first weeks of engagement.

Manager & Data Analyst at LIPINDAN Neighbourhood Car Wash

March 1, 2020 - Present

Digitized all company records into structured spreadsheets enabling forecasting, trend analysis, and data-driven operational decisions; designed and launched a home pickup service initiative that grew customer retention by 30%, translating data insights into measurable business outcomes; managed end-to-end business operations while upskilling in data analytics.

IT Support Intern at Social Security & National Insurance Trust (SSNIT)

August 1, 2022 - October 31, 2022

Provided Tier-1 and Tier-2 IT support for a national institution; assisted in network monitoring, user account management, and system maintenance; developed a structured, process-oriented approach to problem resolution.