Daniel O.

Key Skills

Software

Mercor

Other

Top Subject Matter

Web content requirements and written deliverables quality

Evidence-based nursing and clinical guideline evaluation

Facility operations monitoring and incident-report documentation

Top Data Types

Image

Video

Text

Computer Code Programming

Top Task Types

Question Answering

Text Summarization

Diagnosis

Freelancer Overview

Freelance Web Designer / AI-response-style evaluator (Fiverr & Upwork). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Osun State University (2025). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Evaluation, Rating, and Diagnosis.

Labeling Experience

AI Model Evaluator & Data Annotator

OtherText

Evaluated client deliverables by checking them against stated requirements and standards, producing structured written feedback. Labeled issues in the output as gaps, unclear reasoning, or non-compliance areas and documented the rationale for recommended revisions. This directly maps to rating and critiquing AI-like responses based on guideline adherence and logical correctness. • Checked deliverables against explicit requirements and acceptance criteria. • Identified gaps in logic/practice and flagged unclear reasoning in feedback. • Wrote structured rationales and revision notes explaining the “why”. • Provided honest, constructive approval/denial decisions based on quality benchmarks.

2023 - Present

Student Nurse & Clinical Practitioner (guideline-based evaluation and structured documentation)

OtherDiagnosis

Assessed clinical care scenarios for alignment with evidence-based guidelines, identifying deviations and reasoning gaps. Produced structured written documentation that required careful attention to detail, accuracy, and adherence to institutional standards. The same evaluative, guideline-driven reasoning transfers to assessing AI-generated responses for correctness and alignment. • Compared scenarios against evidence-based clinical guidelines. • Identified deviations, implicit risks, and missing reasoning elements. • Documented findings via structured clinical notes, care plans, and incident reports. • Flagged clinical errors and inconsistencies regardless of source.

2020 - 2025

Education

Work History