Bereket A.

Key Skills

Software

Labelbox

Scale AI

Top Subject Matter

Software Engineer and AI Development

Life Sciences and Academic Scientific Research

Top Data Types

Text

Computer Code Programming

Top Task Types

Classification

RLHF

Fine-tuning

Evaluation/Rating

Freelancer Overview

Biology Intern (Data auditing and labeling anomaly correction). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Science, Addis Ababa University (2026). AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Biology Intern - Ethiopian Biodiversity Institution

TextClassification

Managed delicate specimen handling and performed precise taxonomical classification across mammalian, reptilian, and avian species. Applied rigorous scientific reasoning and strict criteria to audit internal biodiversity records, correcting human data-labeling anomalies in dense datasets. Supported the maintenance of higher-quality biological datasets through careful verification of classification decisions. • Conducted specimen processing and taxonomy-based classification workflows • Audited and corrected biodiversity records using defined scientific criteria • Documented findings to improve dataset consistency and traceability • Performed quality checks to identify and resolve anomalies in records

2023 - 2023

Biology Intern (Data auditing and labeling anomaly correction)

Don't disclose

Audited and corrected dense biodiversity records using strict scientific reasoning to identify human data-labeling anomalies. Validated taxonomical classification criteria across mammalian, reptilian, and avian species to improve internal data quality. Ensured labeling consistency by applying rigorous checks to specimen-related dataset fields. • Identified incorrect or inconsistent labels within internal biodiversity datasets. • Applied strict criteria for taxonomical classification during record review. • Corrected anomalies discovered through scientific auditing. • Supported higher-fidelity dataset quality for downstream analysis.

2023 - 2023

Education

Work History