Kel D.

Key Skills

Software

Other

Top Subject Matter

AI output assessment

social media evaluation

English/Igbo language tutoring (Nigeria)

Top Data Types

Image

Video

Text

Document

Top Task Types

Transcription

Data Collection

Function Calling

Question Answering

Freelancer Overview

AI Tutor / English & Igbo Language Tutor / Client Performance Coach (DataAnnotationGeneralist focus). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Claude(Anthropic) and Other. Education includes Bachelor of Science, University of Nigeria, Nsukka (2019). AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

AITutor & Client Performance Coach (AI tutoring workflows and content quality evaluation)

Text

Provided AI tutoring and coached clients by assessing individual learner needs and translating those assessments into structured instructional plans. Processed and interpreted client-reported data and behavioral patterns to adjust instructional strategies while maintaining consistent quality across multiple clients. Delivered performance documentation and outreach tracking to support ongoing evaluation and recordkeeping.• Assessed client needs, ability levels, and goals to tailor tutoring content. • Interpreted client activity and response rates for re-engagement and outcome tracking. • Managed high-volume client portfolios while meeting monthly performance targets. • Produced structured reports and documentation aligned to quality and accuracy requirements.

2025 - Present

Data Collection & Field Operations Officer (structured quality evaluation and documentation)

OtherDocumentData Collection

Performed structured evaluation of agent performance against defined benchmarks and produced organized operational documentation for large datasets. Maintained accurate compliance and onboarding records and supported quality standards through ongoing monitoring and reporting. Although in a banking operations context, the work closely matches AI content quality assessment workflows via benchmark evaluation, gap identification, and structured re-engagement strategies.• Evaluated agent performance vs. benchmarks and identified underperforming accounts. • Created weekly/monthly performance reports documenting activity and operational trends. • Maintained structured records (onboarding documentation, compliance status, activity logs). • Trained field agents on protocols and quality standards to improve consistency and output.

2022 - 2022

Education

Work History