Khadijat J.

Key Skills

Software

Telus

Toloka

Top Subject Matter

LLM and Conversational AI data annotation/evaluation (text, audio transcription)

Search relevance evaluation and dataset collection for AI training

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Data Collection

Freelancer Overview

Senior AI Evaluation Specialist | Telus International / Appen / Clickworker (AI evaluation, RLHF, labeling, transcriptio. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus and Toloka. Education includes Bachelor of Science, University of Abuja. AI-training focus includes data types such as Text and labeling workflows including RLHF and Data Collection.

Labeling Experience

Senior AI Evaluation Specialist | Telus International / Appen / Clickworker (AI evaluation, RLHF, labeling, transcription, and QA)

TelusTextRLHF

Executed RLHF tasks to train and fine-tune large language models while targeting reductions in hallucinations and improvements to helpfulness, honesty, and safety. Conducted generative AI evaluation and rating to validate model output quality against project goals. Performed lead-level data auditing to maintain annotation consistency and taxonomy compliance. • Led semantic labeling and named entity recognition (NER) labeling efforts • Performed bounding-box related annotation tasks when required • Produced multilingual audio-to-text transcription outputs following strict phonetic and grammatical guidelines • Audited global contributor work to ensure integrity and 98% quality score

2018 - Present

AI Data Contributor & Researcher | Toloka AI / Clickworker (evaluation and data collection)

TolokaTextData Collection

Performed search relevance evaluation by analyzing search engine results to improve ranking algorithms and user experience. Coordinated data collection activities for diverse datasets used to support AI training and bias mitigation. Supported workflow and platform improvement initiatives through practical feedback from labeling activities. • Curated and contributed to crowdsourced voice, image, and text datasets • Conducted evaluation/rating of relevance for search results • Provided technical feedback on UI/UX issues affecting task completion • Contributed to community labeling throughput improvements

2017 - 2018

Education

Work History