Elvis O.

Key Skills

Software

Remotasks

Don't disclose

Top Subject Matter

Healthcare/Clinical Medicine and Medical Safety for LLMs

Clinical Medicine (patient assessment documentation)

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

RLHF

Entity (NER) Classification

Freelancer Overview

Independent Medical Specialist & Full-Stack AI Trainer (OpenTrain, Outlier, Remotasks). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks and Don't disclose. Education includes Bachelor of Science, University of Nairobi (2019) and Kenya Certificate of Secondary Education, Homabay School (2014). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Independent Medical Specialist and Full-Stack AI Trainer - Independent Medical Specialist & Full-Stack AI Trainer

RemotasksRLHFEntity (NER) Classification

Served as an independent medical specialist while also supporting software-based AI engineering work for international projects. Evaluated and verified multi-language code generation and ensured runtime correctness across multiple ecosystems, emphasizing logical structure and compiler compliance. Developed and refined prompt-response workflows and safety checks aligned to recognized health guidelines to reduce unsupported medical claims. • Audited and tested code snippets across Swift, Python, C++, C#, and JavaScript • Built structured dataset and dialogue pipelines with formatting and rubric enforcement • Reviewed medical content for hallucinations and safety alignment • Managed prompt-response pipelines and RLHF-style feedback workflows

2020 - Present

Independent Medical Specialist & Full-Stack AI Trainer (OpenTrain, Outlier, Remotasks)

RemotasksTextRLHF

Built and optimized training datasets for international ML projects involving programming, data science, and medicine. Evaluated, rewrote, and verified multi-language model outputs (Swift, Python, C++, C#, and JavaScript) to improve logical structure, runtime efficiency, and compiler compliance. Managed prompt-response annotation workflows with granular feedback, ranking, and RLHF alignment while ensuring safety and factuality against recognized health guidelines.• Engineered structured prompt-response pipelines via proprietary web interfaces.• Flagged hallucinations and removed unsupported clinical/herbal claims to enforce model safety guardrails.• Collected, parsed, and verified text and data strings to comply with formatting rubrics and markdown standards.• Audited code generations inside IDEs (Xcode, VS Code, Jupyter) for correctness and error-handling behavior.

2020 - Present

Clinical Intern, Kenyatta National Hospital

Don't disclose

Performed clinical documentation and structured health assessment work that supported accurate labeling of patient medical histories and diagnostic considerations. Applied pharmacology knowledge to ensure safe dosing, minimize drug interactions, and track clinical outcomes relevant to medical decision-making. Maintained precise medical records while participating in clinical process audits focused on compliance and patient safety metrics.• Managed internal medicine, pediatrics, and surgical patient caseloads for consistent clinical profiling.• Documented comprehensive health assessments, nutritional evaluations, and diagnostic procedure outcomes with strict detail.

2019 - 2020

Education

Work History