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I’m an AI data annotation and AI evaluation specialist based in Nairobi, with 4+ years of experience ensuring high-quality labeling, content evaluation, and evidence-based model assessment. I focus on accuracy, consistency, and safety by reviewing responses, detecting hallucinations, and validating structured and unstructured datasets. I enjoy working independently on large-scale AI/LLM projects, documenting decisions clearly, and collaborating to improve annotation guidelines and quality benchmarks. I bring strong analytical thinking, attention to detail, and reliable remote work habits to deliver top-quality results.…I’m an AI data annotation and AI evaluation specialist based in Nairobi, with 4+ years of experience ensuring high-quality labeling, content evaluation, and evidence-based model assessment. I focus on accuracy, consistency, and safety by reviewing responses, detecting hallucinations, and validating structured and unstructured datasets. I enjoy working independently on large-scale AI/LLM projects, documenting decisions clearly, and collaborating to improve annotation guidelines and quality benchmarks. I bring strong analytical thinking, attention to detail, and reliable remote work habits to deliver top-quality results.

Allan Kemei

Data Annotator, AI Evaluator, AI Ethics Consultant, +4

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I’m an AI data annotation and AI evaluation specialist based in Nairobi, with 4+ years of experience ensuring high-quality labeling, content evaluation, and evidence-based model assessment. I focus on accuracy, consistency, and safety by reviewing responses, detecting hallucinations, and validating structured and unstructured datasets. I enjoy working independently on large-scale AI/LLM projects, documenting decisions clearly, and collaborating to improve annotation guidelines and quality benchmarks. I bring strong analytical thinking, attention to detail, and reliable remote work habits to deliver top-quality results.…I’m an AI data annotation and AI evaluation specialist based in Nairobi, with 4+ years of experience ensuring high-quality labeling, content evaluation, and evidence-based model assessment. I focus on accuracy, consistency, and safety by reviewing responses, detecting hallucinations, and validating structured and unstructured datasets. I enjoy working independently on large-scale AI/LLM projects, documenting decisions clearly, and collaborating to improve annotation guidelines and quality benchmarks. I bring strong analytical thinking, attention to detail, and reliable remote work habits to deliver top-quality results.

Available to hire

I’m an AI data annotation and AI evaluation specialist based in Nairobi, with 4+ years of experience ensuring high-quality labeling, content evaluation, and evidence-based model assessment. I focus on accuracy, consistency, and safety by reviewing responses, detecting hallucinations, and validating structured and unstructured datasets.

I enjoy working independently on large-scale AI/LLM projects, documenting decisions clearly, and collaborating to improve annotation guidelines and quality benchmarks. I bring strong analytical thinking, attention to detail, and reliable remote work habits to deliver top-quality results.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Swahili

Fluent

Work Experience

Research & Content Review Specialist (Remote)

February 1, 2021 - Present

Conducted professional document analysis and reviewed materials for factual accuracy and completeness; prepared reports summarizing findings; compared information across sources; evaluated technical accuracy and relevance; classified items using established taxonomy; prepared detailed documentation in support of reviews; coordinated remotely with other reviewers.

Research & Content Review Specialist (Remote)

January 1, 2021 - Present

Conducted document review and research activities to support AI training, data quality, and knowledge management. Performed professional document analysis; reviewed materials for factual accuracy and completeness; prepared reports summarizing findings; compared information across sources; evaluated documentation for technical accuracy and relevance; classified items using an established taxonomy; prepared detailed documentation for review support; coordinated remotely with other reviewers. Contributed to structured documentation for AI evaluation projects and improved annotation consistency through detailed rationales for taxonomy decisions.

Senior AI Data Annotation & Evaluation Specialist (Remote)

January 1, 2021 - Present

Supported multiple AI and machine learning projects by performing expert-level analysis, evaluation, and annotation of datasets and model outputs for large language and intelligent systems. Annotated text/conversations/documentation/model responses according to specialized frameworks; assessed response factual accuracy, relevance, completeness, coherence, safety, and overall quality. Detected errors such as omissions, contradictions, hallucinations, and unsupported claims; provided written justification with explanations and evidence; followed detailed annotation guidelines; escalated extreme cases and unclear items with comprehensive written rationales. Performed research and fact-checking when needed; collaborated with calibration efforts to ensure consistency across annotators; maintained confidentiality and ethical handling of sensitive information and AI training data.