SOLOMON ENEMONA ONOJA

• Designed 5+ digital interface concepts using Figma, focusing on usability, visual consistency, and user experience. • Created 10+ wireframes to structure layouts, navigation, and key user flows. • Developed 5+ interactive prototypes in Figma to demonstrate user journeys and interface functionality. • Applied UI/UX design principles to create intuitive, accessible, and visually consistent digital experiences. • Organized design elements, components, and layouts to maintain consistent visual design across project screens. • Reviewed and refined 10+ design iterations based on usability considerations and project requirements.

Self-Employed / Freelance

• Evaluated 100+ AI-generated responses for accuracy, relevance, clarity, completeness, tone, and instruction-following using predefined evaluation criteria. • Reviewed and compared 100+ AI responses, identifying inconsistencies, errors, and quality issues to support reliable model evaluation. • Applied detailed evaluation rubrics across 100+ responses to rank AI outputs and provide consistent quality judgments. • Documented findings from 100+ evaluations and provided clear written feedback to support AI response quality and human-in-the-loop evaluation processes.

Mercor

• Evaluated 500+ AI-generated responses against predefined criteria, project guidelines, and quality standards to ensure accuracy and relevance. • Completed 1,000+ AI data annotation and evaluation tasks, supporting data-quality workflows and improving training-data consistency. • Identified 100+ model weaknesses, inconsistencies, and potential errors through detailed review and comparison of AI-generated outputs. • Applied structured judgment across 500+ evaluations, ranking and comparing AI responses according to detailed project rubrics and guidelines. • Supported 100+ human-in-the-loop AI training tasks, providing accurate assessments and clear written feedback to improve model performance. • Reviewed 500+ AI outputs for quality issues, accuracy, and compliance with task-specific requirements and evaluation standards.

Scale AI

• Classified and labeled 500+ data points according to detailed project guidelines and annotation standards. • Reviewed 100+ dataset entries for consistency, accuracy, and completeness. • Identified 50+ anomalies and potential quality issues through detailed dataset reviews. • Applied structured annotation guidelines to maintain high-quality and consistent labeling across datasets. • Validated annotated data to support human-in-the-loop AI training and quality assurance workflows. • Identified and documented data inconsistencies to improve annotation accuracy and dataset reliability.

AI Training & Data Annotation Company

• Created and optimized 50+ prompts for different tasks, contexts, and user-intent scenarios. • Tested 100+ prompt variations to compare AI-generated outputs and identify effective instruction patterns. • Refined 50+ prompts based on accuracy, relevance, clarity, and consistency of generated responses. • Compared AI outputs across 100+ prompt tests to identify quality improvements and response differences. • Applied prompt engineering techniques across 50+ use cases to improve instruction clarity, context, and desired AI behavior. • Documented and refined 25+ effective prompting approaches based on evaluation results and user intent.

self employed & freelance

• Completed 500+ AI data annotation and content evaluation tasks, supporting data-quality projects and AI training workflows. • Reviewed and classified 1,000+ digital data points according to project-specific requirements, categories, and evaluation guidelines. • Evaluated 500+ pieces of digital content for relevance, quality, accuracy, consistency, and compliance with project standards. • Applied detailed annotation guidelines across multiple projects, maintaining reliable and consistent results throughout evaluation tasks. • Supported 100+ AI training and quality-assurance tasks through human review, content assessment, and data validation. • Completed 10+ remote projects independently, consistently maintaining productivity, accuracy, and adherence to deadlines.

TELUS Digital AI Community

• Designed 10+ user interfaces and digital experiences in Figma, creating intuitive and visually consistent designs for web and application projects. • Developed 20+ wireframes, prototypes, layouts, and user flows to communicate concepts and guide digital product development. • Applied user-centered design principles across 10+ design projects, improving usability, navigation, and overall user experience. • Designed 10+ responsive website and application interfaces optimized for desktop, tablet, and mobile experiences. • Translated 20+ business and user requirements into practical digital experiences aligned with project goals and user needs. • Applied visual hierarchy, consistency, accessibility, and usability principles across 15+ interface designs, strengthening clarity and user engagement.

Freelance

• Executed 10+ AI training and evaluation projects, assessing 500+ AI-generated responses for accuracy, relevance, reasoning, and quality. • Evaluated and ranked 500+ alternative AI responses against standardized criteria, achieving 95%+ consistency across assessments. • Designed and tested 100+ evaluation prompts to measure AI model reasoning, accuracy, relevance, and response quality. • Applied standardized grading rubrics to evaluate 500+ AI-generated answers across multiple performance and quality dimensions. • Detected and documented 100+ model weaknesses, errors, inconsistencies, and improvement opportunities to support performance optimization. • Delivered structured human feedback on 500+ AI responses, supporting improvements in model accuracy, reasoning, consistency, and response quality.

Outlier AI

• Managed 1,000+ financial and operational records, maintaining 98%+ accuracy, consistency, and data integrity across business systems. • Prepared and supported 20+ financial reports and reconciliations, ensuring accurate documentation and timely reporting. • Analyzed 500+ financial and operational data entries monthly, identifying discrepancies, anomalies, and inconsistencies for resolution. • Organized and maintained 1,000+ records and financial documents, improving information accessibility and supporting business decision- making. • Used Microsoft Excel and digital tools to analyze, track, and present 500+ records, improving reporting efficiency and data visibility. • Resolved 50+ data-related issues and supported process improvements that strengthened data accuracy, reconciliation, and operational efficiency.

FinTech Solutions Inc.

• Completed 500+ AI data annotation, content evaluation, research, and quality-review tasks across multiple remote projects. • Classified and reviewed 1,000+ data points and digital content items according to detailed project guidelines and quality standards. • Conducted 100+ online research and information-verification tasks, validating data and supporting accurate project outcomes. • Identified 100+ inconsistencies, errors, and quality issues across datasets and digital content through detailed review. • Maintained 95%+ accuracy and consistency across repetitive, high-volume annotation and evaluation tasks.

Appen

• Evaluated 5,000+ AI-generated responses for accuracy, relevance, clarity, completeness, consistency, and adherence to project guidelines. • Performed data annotation, classification, comparison, ranking, and quality assurance across multiple AI projects while maintaining consistent evaluation standards. • Reviewed and refined 2,500+ AI-generated responses, identifying and correcting 1,500+ factual errors, contradictions, inconsistencies, and reasoning issues. • Created and optimized 1,000+ AI prompts based on user intent, context, and desired outputs to improve response quality and model performance. • Conducted online research to verify information and developed process documentation and evaluation checklists to support annotator onboarding and standardized project workflows. • Implemented cross-checking procedures with fellow annotators to resolve ambiguous cases, align evaluation standards, and strengthen data quality and consensus across remote teams.

Freelance / Remote

• Evaluated 3,000+ AI-generated responses against detailed quality standards and project-specific instructions, maintaining consistent assessment practices. • Performed 2,000+ content classification, annotation, ranking, comparison, and quality-review tasks across AI evaluation projects. • Assessed 3,000+ AI responses for relevance, factual consistency, clarity, completeness, and adherence to instructions. • Created and refined 500+ prompts for AI evaluation and training tasks based on project requirements and desired outputs. • Identified and documented 1,000+ errors, inconsistencies, weaknesses, and quality issues in AI-generated content. • Provided structured feedback on 2,000+ model outputs to support AI model improvement while following detailed annotation guidelines for accuracy and consistency.

Remotasks

AI Evaluation & Data Annotation Program

Scale AI