Dare Olumuyiwa

Key Skills

Software

Appen

Other

Top Subject Matter

No subject matter listed

Top Data Types

Text

Image

Computer Code Programming

Top Label Types

Classification

Question Answering

Text Summarization

RLHF

Evaluation Rating

Text Generation

Computer Programming Coding

Data Collection

Freelancer Overview

I bring over a decade of experience working with data, analytics, and digital systems, with a strong focus on building and managing high-quality, structured datasets for business intelligence and analytics solutions. My background includes designing data models, automating data collection workflows, and delivering dashboards and reporting systems using tools like Power BI, SQL, Python, and advanced Excel. I have led projects involving the integration and cleansing of diverse data sources, the development of automated validation and reporting pipelines, and the creation of executive-grade insights for decision-making. My work also includes survey data analysis—combining quantitative and qualitative insights—and building systems that ensure data accuracy, compliance, and audit readiness. I am comfortable collaborating with cross-functional teams to deliver reliable, well-annotated datasets that support analytics, governance, and strategic outcomes.

Labeling Experience

LLM Response Evaluation & Data Annotation Specialist (Alignerr / AI Projects)

OtherComputer Code ProgrammingComputer Programming CodingData Collection

Joined Alignerr in January 2026 and completed multiple qualification assessments focused on LLM evaluation and response rating. Assessment tasks included ranking model outputs, evaluating reasoning quality, classifying responses based on structured rubrics, and applying reinforcement learning with human feedback (RLHF) criteria. Demonstrated strong analytical reasoning, guideline adherence, and structured evaluation skills during the screening phase.

Joined Alignerr in January 2026 and completed multiple qualification assessments focused on LLM evaluation and response rating. Assessment tasks included ranking model outputs, evaluating reasoning quality, classifying responses based on structured rubrics, and applying reinforcement learning with human feedback (RLHF) criteria. Demonstrated strong analytical reasoning, guideline adherence, and structured evaluation skills during the screening phase.

2025

Search Result Evaluation & Web Content Classification (CrowdGen / UHRS)

AppenTextClassificationQuestion Answering

Contributed to AI training and search evaluation projects on the UHRS platform via CrowdGen. Tasks included evaluating search engine results, classifying web pages as useful or junk, performing sentiment analysis, and rating AI-generated responses based on relevance, accuracy, and guideline compliance. Applied strict quality standards and adhered to detailed task-specific rubrics to ensure consistent, high-accuracy labeling. Worked across multiple HITApps while maintaining performance thresholds required for continued task access.

Contributed to AI training and search evaluation projects on the UHRS platform via CrowdGen. Tasks included evaluating search engine results, classifying web pages as useful or junk, performing sentiment analysis, and rating AI-generated responses based on relevance, accuracy, and guideline compliance. Applied strict quality standards and adhered to detailed task-specific rubrics to ensure consistent, high-accuracy labeling. Worked across multiple HITApps while maintaining performance thresholds required for continued task access.

2023

LLM Evaluation & AI Data Annotation Specialist (Outlier – Aether Project)

OtherImageClassificationQuestion Answering

Contributed to AI model evaluation and training on the Aether project at Outlier. Responsibilities included reviewing and rating AI-generated responses for accuracy, reasoning quality, alignment with prompt instructions, and guideline compliance. Applied multi-criteria evaluation frameworks to assess content across diverse domains, ensuring consistency with evolving quality standards. Participated in structured tasks involving response ranking, classification, and reinforcement learning with human feedback (RLHF), supporting model improvement through detailed and rubric-based judgment. Maintained disciplined adherence to task instructions, quality benchmarks, and time-tracking requirements in a high-volume, remote evaluation environment.

Contributed to AI model evaluation and training on the Aether project at Outlier. Responsibilities included reviewing and rating AI-generated responses for accuracy, reasoning quality, alignment with prompt instructions, and guideline compliance. Applied multi-criteria evaluation frameworks to assess content across diverse domains, ensuring consistency with evolving quality standards. Participated in structured tasks involving response ranking, classification, and reinforcement learning with human feedback (RLHF), supporting model improvement through detailed and rubric-based judgment. Maintained disciplined adherence to task instructions, quality benchmarks, and time-tracking requirements in a high-volume, remote evaluation environment.

2024 - 2025

Education

Work History