Ivine F.

Key Skills

Software

CVAT

Don't disclose

Other

Top Subject Matter

Computer vision annotation for industrial and general objects

Text response evaluation for RLHF dataset construction

LLM and RAG system evaluation and QA

Top Data Types

Image

Text

Top Task Types

Bounding Box

RLHF

Fine-tuning

Freelancer Overview

Freelance AI Data Annotator (Computer Vision). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Don't disclose, and Other. Education includes Bachelor of Science, Mount Kenya University. AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, RLHF, and Evaluation.

Labeling Experience

AI Data Curation & Workflow Optimization (AI Training Support)

TextFine-tuning

Supported model fine-tuning indirectly by producing high-integrity training data and evaluation artifacts for LLM performance. Curated and reconciled dataset inputs used to train or refine publishing-focused AI systems. Ensured data integrity through automated enrichment workflows and verification processes aligned to ground truth. • Managed data reconciliation using Python scripts and Advanced Excel • Automated data enrichment and reporting with Airtable and n8n workflows • Ensured data integrity for training datasets • Collaborated to convert quality standards into measurable KPIs

2022 - Present

AI Operations and QA Lead (HITL Evaluation)

OtherText

Led AI operations and QA focused on human-in-the-loop evaluation of generated content for quality and factual reliability. Assessed AI outputs across domains for clarity, accuracy, relevance, and alignment with brand voice and ground truth. Implemented structured SOPs so distributed teams could apply consistent evaluation criteria across large volumes. • Performed HITL evaluation of RAG outputs for factual accuracy, relevance, and clarity • Conducted hallucination and inconsistency error analysis to inform fine-tuning • Built and maintained SOPs for distributed quality control • Defined evaluation metrics and KPIs with cross-functional teams

2022 - Present

Freelance AI Evaluator for RLHF Dataset Support

Don't discloseTextRLHF

Evaluated and prepared text-based supervision signals to improve model behavior through RLHF-style datasets. Assessed AI responses for coherence, safety, and instruction-following before including them in training data pipelines. Applied guideline-based review to ensure consistent quality across contributions. • Evaluated text AI responses for coherence, safety, and instruction following • Contributed evaluation outputs to RLHF datasets • Performed error analysis by identifying hallucination and logic issues • Helped translate quality goals into measurable evaluation criteria

2025

Freelance AI Data Annotator (Computer Vision)

CVATImageBounding Box

Performed precise computer-vision image annotation to support CV tasks using provided labeling tools and evolving guidelines. Ensured spatial accuracy for industrial and general object regions using box/polygon labeling and quality checks. Verified output quality with target accuracy thresholds and participated in consensus reviews. • Used CVAT (via Remoter.me) for bounding box and polygon annotation • Achieved ≥95% accuracy for industrial and general objects • Followed complex, evolving annotation guidelines • Maintained high inter-annotator agreement (IAA)

2025

Education

Work History