Alfred A.

Key Skills

Software

Don't disclose

Top Subject Matter

Oromo linguistics and AI alignment evaluation

Multimodal language model datasets (Oromo/English)

AI alignment and data annotation

Top Data Types

Text

Video

Image

Top Task Types

Entity (NER) Classification

Fine-tuning

Freelancer Overview

AI Data Specialist & Linguistic Evaluator (AI evaluation, pairwise comparison, alignment scoring). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, N, and A. Education includes Advanced Certificate in Data Annotation AI Alignment, The Institute for Computational Linguistics (2022) and Professional Specialization in Machine Learning Task Evaluation, Strategic Data Training Academy (2020). AI-training focus includes data types such as Text and Video and labeling workflows including Evaluation, Rating, a

Labeling Experience

AI Data Specialist & Linguistic Evaluator (AI evaluation, pairwise comparison, alignment scoring)

Don't discloseText

Provided AI alignment and linguistic evaluation for Oromo-language generative outputs, focusing on safety and helpfulness checks. Conducted pairwise structural comparisons to determine integrity and cultural safety of model responses. Performed expert reviews of reasoning paths to surface logic failures and linguistic hallucinations in generated text.• Reviewed generative Oromo responses using side-by-side pairwise comparison protocols. • Rated or flagged outputs based on linguistic correctness and safety criteria. • Documented issues identified during quality assurance audits. • Supported iterative improvement of Oromo content quality via evaluator feedback.

2022 - Present

Advanced Certificate in Data Annotation AI Alignment (specialized training)

TextFine-tuning

Completed an advanced data annotation and AI alignment training program focused on preparing labeled data for model alignment. Practiced annotation workflows aligned to safety/helpfulness objectives and evaluation-oriented labeling. Applied structured guidance for consistent labeling behavior during AI alignment tasks.• Trained on alignment-focused annotation principles. • Practiced producing and validating labeled outputs. • Learned quality and consistency techniques for annotation work. • Prepared for alignment-oriented dataset construction workflows.

2022 - 2022

Data Annotation Lead & Language Consultant (dataset QA, semantic tagging, counting rubrics)

VideoEntity (NER) Classification

Led data annotation and preprocessing for East African language model training datasets, with emphasis on Oromo and English. Corrected inaccuracies in auto-annotated video frames and text strings to improve label fidelity for downstream training. Designed labeling rubrics for consistent semantic tagging and counting task outputs across remote teams.• Managed large-scale data collection and preprocessing workflows. • Audited and corrected mislabeled video frames and OCR/text strings. • Authored structured rubrics for semantic tagging and counting tasks. • Coordinated with remote labeling teams to standardize output quality.

2020 - 2022

Professional Specialist in Machine Learning Task Evaluation (specialized training)

Text

Completed a specialized program in machine learning task evaluation to support consistent assessment of model outputs. Focused on evaluation practices useful for training and improvement of AI systems. Reinforced methods for judging task performance using labeled or structured criteria.• Learned evaluation rubric concepts for ML tasks. • Practiced performance assessment aligned to task requirements. • Strengthened consistency in scoring model behavior. • Applied evaluation thinking relevant to labeled dataset improvement.

2020 - 2020

Education

Work History