For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
J

Jeverson Mayieka

NLP Data Annotator (Research Assistant)

USA flag
Oxford, Usa
ExpertOther

Key Skills

Software

Other

Top Subject Matter

Nlp Domain Expertise
Transformer Models
Entity Recognition

Top Data Types

TextText

Top Task Types

Entity Ner Classification

Freelancer Overview

NLP Data Annotator (Research Assistant). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Arts, Miami University (2021) and Master of Science, Miami University (2021). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification, Evaluation, and Rating.

Expert

Labeling Experience

English-Swahili Data Translator (Freelancer)

OtherText
Performed English-Swahili data translation for supervised datasets used in NLP model development. Translated and localized text corpora to enhance AI model multilingual capabilities. Ensured translation accuracy through peer review and linguistic quality checks. • Supported cross-lingual research and dataset creation. • Maintained linguistic consistency across large volume translations. • Facilitated improved performance in multilingual NLP models. • Provided freelance translation services with attention to confidentiality.

Performed English-Swahili data translation for supervised datasets used in NLP model development. Translated and localized text corpora to enhance AI model multilingual capabilities. Ensured translation accuracy through peer review and linguistic quality checks. • Supported cross-lingual research and dataset creation. • Maintained linguistic consistency across large volume translations. • Facilitated improved performance in multilingual NLP models. • Provided freelance translation services with attention to confidentiality.

2021 - Present

LLM Data Evaluator / Reviewer

Text
Delivered structured dataset feedback and rated model outputs for machine learning production systems. Applied standardized criteria to evaluate clarity, reasoning, and factual accuracy in large language model benchmarks. Ensured peer-reviewed quality in dataset evaluations and editorial reviews. • Facilitated faster editorial review cycles through clear evaluation. • Improved consistency and reproducibility in benchmarking processes. • Provided actionable insights for model optimization and retraining. • Contributed to the development of open-source LLM evaluation benchmarks.

Delivered structured dataset feedback and rated model outputs for machine learning production systems. Applied standardized criteria to evaluate clarity, reasoning, and factual accuracy in large language model benchmarks. Ensured peer-reviewed quality in dataset evaluations and editorial reviews. • Facilitated faster editorial review cycles through clear evaluation. • Improved consistency and reproducibility in benchmarking processes. • Provided actionable insights for model optimization and retraining. • Contributed to the development of open-source LLM evaluation benchmarks.

2022 - 2023

NLP Data Annotator (Research Assistant)

TextEntity Ner Classification
Annotated and refined textual corpora for domain-specific NLP tasks, directly contributing to performance improvements in machine learning models. The work involved entity classification and cleaning of large text datasets, enhancing accuracy metrics such as F1 score. Collaborated with research colleagues to ensure high data quality and reproducible results. • Improved dataset quality by systematic annotation and error correction. • Used peer-reviewed rubrics for maintaining annotation consistency. • Enhanced the efficiency of data labeling pipelines for NLP experiments. • Supported published research in transformer architecture evaluation.

Annotated and refined textual corpora for domain-specific NLP tasks, directly contributing to performance improvements in machine learning models. The work involved entity classification and cleaning of large text datasets, enhancing accuracy metrics such as F1 score. Collaborated with research colleagues to ensure high data quality and reproducible results. • Improved dataset quality by systematic annotation and error correction. • Used peer-reviewed rubrics for maintaining annotation consistency. • Enhanced the efficiency of data labeling pipelines for NLP experiments. • Supported published research in transformer architecture evaluation.

2022 - 2023

Education

M

Miami University

Master of Science, Linguistics

Master of Science
2021 - 2021
M

Miami University

Master of Arts, Linguistics and Machine Learning

Master of Arts
2015 - 2021

Work History

N

N/A

Machine Learning Engineer and Researcher

Oxford
2022 - Present
S

Self-Employed

Freelance English-Swahili Translator

Oxford
2021 - Present