Ufedoojo B.

Key Skills

Software

Appen

Other

Labelbox

Top Subject Matter

Search relevance

Ai Annotation

and transcription-related NLP datasets.

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Freelancer Overview

Data Labeling Analyst | Appen (Contract). Core strengths include Appen, Other, and Labelbox. Education includes Bachelor of Science, Joseph Sarwuan Tarka University Makurdi (JOSTUM) and Certificate, Google Developers. AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER), RLHF, and Evaluation.

Labeling Experience

Senior AI Data Annotator | Freelance / Remote Contracts

LabelboxText

Annotated large volumes of NLP and computer vision training data with strict adherence to labeling guidelines and SOPs. Maintained high dataset quality using inter-annotator agreement scoring, error auditing, and client QA review processes. Collaborated with ML engineers and project stakeholders to resolve edge cases and refine annotation instructions across multiple domains. • Labeled 50,000+ samples spanning NER, sentiment, and bounding box/segmentation annotation types. • Sustained accuracy above 97% using inter-annotator agreement and QA audits. • Reviewed junior annotators’ work and provided feedback to maintain consistency. • Contributed to creating and refining labeling guidelines for healthcare, e-commerce, and autonomous driving datasets.

2021 - Present

AI Annotation Specialist | Outlier AI (Contract)

OtherImageRLHF

Performed RLHF annotation tasks to improve large language model outputs for instruction-following and safety alignment. Rated and ranked model responses using quality, accuracy, helpfulness, and harmlessness criteria across large prompt sets. Provided written rationales supporting ranking decisions to enable model fine-tuning feedback loops. • Conducted reinforcement learning from human feedback (RLHF) labeling for instruction-following behavior. • Rated and ranked AI-generated responses across thousands of prompts. • Wrote detailed rationales to support fine-tuning feedback. • Used established evaluation criteria to ensure consistent response scoring.

2022 - 2023

Data Labeling Analyst | Appen (Contract)

AppenText

Served as a Data Labeling Analyst performing text annotation for search relevance, content moderation, and related NLP dataset preparation. Ensured labeled outputs met project quality requirements through consistent throughput and quality metrics. Participated in calibration and training sessions to align labeling standards across distributed annotator teams. • Labeled text data for search relevance and content moderation use cases. • Followed labeling guidelines to maintain consistency and reduce errors. • Worked on audio transcription related labeling as part of multi-modal dataset tasks. • Met daily throughput targets while maintaining retention-required quality scores.

2020 - 2022

Education

Work History