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I'm Daniel Kolo, a postgraduate researcher in Project Management with a track record of analytical writing, AI data contribution, and data-driven reporting. I specialise in turning complex data into clear, actionable insights and have contributed training data and annotation labels to NLP and large language model pipelines. I write in advanced English across technical and general domains; I have delivered 50+ client-facing analytical reports on time with fact-checked content, and I excel at building reproducible documentation and training materials.…I'm Daniel Kolo, a postgraduate researcher in Project Management with a track record of analytical writing, AI data contribution, and data-driven reporting. I specialise in turning complex data into clear, actionable insights and have contributed training data and annotation labels to NLP and large language model pipelines. I write in advanced English across technical and general domains; I have delivered 50+ client-facing analytical reports on time with fact-checked content, and I excel at building reproducible documentation and training materials.

Daniel Kolo

Data Annotator, Data Analyst, Writer, +2

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I'm Daniel Kolo, a postgraduate researcher in Project Management with a track record of analytical writing, AI data contribution, and data-driven reporting. I specialise in turning complex data into clear, actionable insights and have contributed training data and annotation labels to NLP and large language model pipelines. I write in advanced English across technical and general domains; I have delivered 50+ client-facing analytical reports on time with fact-checked content, and I excel at building reproducible documentation and training materials.…I'm Daniel Kolo, a postgraduate researcher in Project Management with a track record of analytical writing, AI data contribution, and data-driven reporting. I specialise in turning complex data into clear, actionable insights and have contributed training data and annotation labels to NLP and large language model pipelines. I write in advanced English across technical and general domains; I have delivered 50+ client-facing analytical reports on time with fact-checked content, and I excel at building reproducible documentation and training materials.

Available to hire

I’m Daniel Kolo, a postgraduate researcher in Project Management with a track record of analytical writing, AI data contribution, and data-driven reporting. I specialise in turning complex data into clear, actionable insights and have contributed training data and annotation labels to NLP and large language model pipelines.

I write in advanced English across technical and general domains; I have delivered 50+ client-facing analytical reports on time with fact-checked content, and I excel at building reproducible documentation and training materials.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Freelance English Language Evaluator & AI Trainer at Scale AI

August 1, 2024 - Present

Evaluated AI-generated texts for quality across factual accuracy, coherence, instruction-following, and fluency; processed 300+ tasks with inter-rater agreement above 85%. Supplied structured feedback and created RLHF prompts to guide reward-model calibration for improved fine-tuning.

Freelance Data Annotator (NLP & Text Classification) at Remotasks / Appen

March 1, 2024 - Present

Annotated over 1,200 text samples for NER, sentiment, intent, and coreference; maintained accuracy >92% across projects. Reviewed and corrected pre-annotations for multilingual English and Nigerian Pidgin, reducing errors by ~30% in the next cycle. Authored edge-case write-ups used to update annotation guidelines.

Freelance Consultant & Data Analyst at Self-Employed

December 1, 2021 - Present

Delivered 50+ client-facing analytical reports across finance, healthcare, and e-commerce; standardised a documentation template that cut post-submission revisions by ~30%. Applied Excel, SPSS, and SQL across the project lifecycle; produced monitoring dashboards and M&E briefs contributing to a 15% improvement in project outcomes.