Nweke C.

Key Skills

Software

No software listed

Top Subject Matter

Emerging infectious diseases

Microbiology Domain Expertise

Metagenomics Domain Expertise

Top Data Types

Document

Text

Top Task Types

RLHF

Freelancer Overview

PhD Researcher, Emerging Infectious Diseases — AI model training evaluation, RLHF, and human feedback support. Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Doctor of Philosophy, University of Alaska Fairbanks, Institute of Arctic Biology (2024) and Master of Science, University of Alaska Fairbanks (2023). AI-training focus includes data types such as Document and Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

PhD Researcher, Emerging Infectious Diseases - University of Alaska Fairbanks

TextRLHF

You investigate how climate change drives the emergence of novel pathogens in Arctic wildlife ecosystems and their potential spread to human populations. You analyze microbial community dynamics in thawing permafrost using metagenomics, next-generation sequencing, and bioinformatics pipelines. You integrate environmental chemistry, biophysics, and epidemiological data to model zoonotic disease transmission while applying domain expertise to evaluate and annotate complex datasets for AI model training and human feedback projects. • Investigated climate-driven pathogen emergence and zoonotic spillover • Performed metagenomic and sequencing-based microbial community analyses • Built and used bioinformatics pipelines for data processing • Applied scientific evaluation and annotation for model training support

2024 - Present

PhD Researcher, Emerging Infectious Diseases — AI model training evaluation, RLHF, and human feedback support

DocumentRLHF

Served as a subject matter expert applying domain knowledge to evaluate and annotate complex biological datasets for AI model training and human feedback workflows. Supported AI-related evaluation using structured rubrics and participation in RLHF and human feedback projects. Focused on ensuring scientific accuracy and validity of outputs derived from life sciences data.• Evaluated and annotated biological datasets for downstream AI training and evaluation.• Developed/used evaluation rubrics and performed scientific validation for model outputs.• Contributed to RLHF and human-feedback processes for life sciences AI use cases.• Applied microbiology and epidemiology domain expertise to improve label quality and relevance.

2024 - Present

Microbiologist (SME) — scientific evaluation and accuracy validation for surveillance data

Text

Provided federal-level scientific analysis and structured evaluation of infectious disease surveillance materials using microbiology expertise. Performed procedural and accuracy-focused review of complex scientific data intended for public health response. While not explicitly described as dataset labeling, the work involved SME validation that aligns with evaluation/assessment for AI-adjacent workflows in scientific reporting.• Reviewed and validated infectious sample analysis outputs under biosafety protocols (BSL-2/BSL-3).• Supported epidemiological reporting and structured evaluation of complex scientific data.• Ensured accuracy and procedural compliance for surveillance-related documentation.• Contributed SME judgment to improve reliability of analyzed scientific inputs.

2023 - 2023

Education

Work History