Stanley N.

Key Skills

Software

Other

OneForma

Top Subject Matter

AI dataset annotation and content quality control

LLM output evaluation and quality assurance

Multilingual dataset collection

Top Data Types

Text

Document

Top Task Types

Data Collection

Freelancer Overview

Freelance AI Trainer / Data Labeler – Crowngen. Professional background includes roles such as English Language Teacher. Core strengths include Other and OneForma. Education includes Master of Science, University of Hertfordshire (2025) and N/A, Nigeria. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

AI Data Contributor – OneForma

OneFormaTextData Collection

Contributed to data collection, annotation, and validation efforts for multilingual and content-focused datasets. Conducted quality checks to ensure labeled data reliability for AI development workflows. Supported structured data tasks that improve dataset coverage and usability.• Collected and prepared dataset inputs for labeling• Performed annotation and validation activities• Completed quality checks on multilingual/content datasets• Supported AI development via structured data contributions

2026 - Present

Freelance AI Trainer / AI Evaluator – Alignerr

OtherTextQuestion Answering

Evaluated AI-generated outputs for relevance, quality, and adherence to structured criteria. Applied consistent scoring or assessment rubrics to support model performance improvements. Ensured outputs met defined quality standards and project expectations.• Assessed relevance and overall output quality• Scored or rated responses using structured criteria• Verified compliance with quality guidelines• Supported iterative quality improvement workflows

2026 - Present

Freelance AI Trainer / Data Labeler – Crowngen

OtherTextRLHF

Performed annotation and labeling tasks to support AI dataset readiness and downstream training needs. Reviewed content quality while adhering to detailed project guidelines to maintain consistency across submissions. Ensured accuracy, completeness, and guideline compliance throughout each labeling cycle.• Annotated dataset records according to provided instructions• Checked content quality and validity against guidelines• Maintained accuracy and consistency across tasks• Followed project-specific formatting and QA expectations

2026 - Present

AI Trainer / LLM Evaluator – Outlier

OtherTextComputer Programming/Coding

Assessed and ranked AI responses based on accuracy and usefulness to support training workflows. Contributed to evaluation processes used for AI model improvement and tuning. Maintained high productivity while delivering consistently high-quality assessments.• Ranked AI responses using defined accuracy/usefulness criteria• Provided evaluation inputs for training workflow refinement• Supported AI model improvement cycles• Maintained productivity and quality standards

2024 - Present

Education

Work History