Ayodele S.

Key Skills

Software

Remotasks

Other

Top Subject Matter

Nlp Domain Expertise

Image Recognition

Multimodal AI

Top Data Types

Text

Image

Top Task Types

RLHF

Freelancer Overview

AI Trainer & Data Annotator | RemoteTask AI. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks and Other. Education includes Bachelor of Science, University of Lagos (2022). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

AI Trainer & Data Annotator | RemoteTask AI

RemotasksTextRLHF

As an AI Trainer and Data Annotator at RemoteTask AI, I contributed directly to reinforcement learning from human feedback, and data annotation for large-scale AI projects. I consistently delivered high-quality labeled data and comprehensive feedback that improved model performance and fine-tuning cycles. My work spanned ranking, annotation, and prompt engineering across diverse AI domains. • Rated and ranked AI-generated responses to improve model alignment. • Annotated over 15,000 data points in NLP, image, and multimodal tasks ensuring a 98%+ quality score. • Engineered and tested 500+ prompts covering coding, reasoning, and creative writing evaluations. • Collaborated with QA leads to flag edge cases, enhancing iterative fine-tuning cycles.

2023 - Present

Junior AI Content Evaluator | DataForce by Teleperformance

OtherText

As a Junior AI Content Evaluator at DataForce by Teleperformance, I evaluated and rated AI model responses for quality control and fine-tuning support. Tasks included providing structured preference data, benchmarking, and annotation accuracy improvement. My responsibilities helped to increase team-wide label accuracy and supported onboarding of new annotators. • Evaluated AI model outputs for relevance, coherence, and safety across English-language datasets. • Supplied structured preference and ranking data for model fine-tuning projects. • Documented annotation inconsistencies to drive accuracy improvements. • Shared best practices with new annotators to standardize quality.

2022 - 2022

Education

Work History