Temitope

Key Skills

Software

Scale AI

Data Annotation Tech

Mindrift

Top Subject Matter

LLM RLHF evaluation and response ranking for safety

Helpfulness Domain Expertise

and instruction adherence.

Top Data Types

Text

Document

Top Task Types

RLHF

Prompt + Response Writing (SFT)

Freelancer Overview

AI Data Annotator – Aether Project (Outlier / Scale AI). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Data Annotation Tech, and Mindrift. Education includes High School Diploma, George and Duke International College (2006) and Master's Degree, University of Ibadan (2017). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

AI Training Contributor (Mindrift)

MindriftTextPrompt + Response Writing (SFT)

Generated high-quality training prompts and seed data to expand model capabilities for creative and instructional task types. Reviewed and scored AI responses for tone, format, and task completion to ensure outputs met platform quality standards. Participated in specialized labeling sprints focused on dialogue, summarization, and question-answering datasets. • Authored diverse prompt variations to broaden instruction coverage. • Scored responses against training rubrics for quality and completeness. • Labeled or supported dialogue, summarization, and QA dataset creation efforts. • Supported iterative improvements by providing structured evaluation feedback.

2026 - Present

AI Content Evaluator (DataAnnotation.tech)

Data Annotation TechText

Evaluated AI-generated text for quality, coherence, factual accuracy, and alignment with user intent across varied domains. Completed comparative ranking tasks by selecting the best response from multiple outputs using structured rubrics. Reviewed AI-generated code snippets for correctness, efficiency, and style compliance while documenting recurring edge cases. • Performed rubric-based scoring and justification for response rankings. • Captured detailed notes on recurring model errors to support quality improvement. • Contributed to code evaluation projects alongside text quality assessment. • Maintained alignment with platform standards for consistent labeling.

2026 - Present

AI Data Annotator – Aether Project (Outlier / Scale AI)

Scale AITextRLHF

Provided instruction-following evaluation and response ranking for LLM RLHF pipelines using rubric-based judgments. Labeled prompt-response pairs across creative writing, coding, math, and general knowledge while maintaining consistency with style guides. Flagged ambiguous, harmful, or policy-violating content to support safer model behavior. • Rated outputs for accuracy, helpfulness, harmlessness, and instruction adherence. • Applied updated annotation criteria across evolving guidelines and model versions. • Achieved quality benchmark performance with low revision rates via QA feedback loops. • Coordinated consistent scoring to improve inter-annotator reliability and training outcomes.

2026 - Present

Education

Work History