Seraj Ali

Key Skills

Software

Appen

Top Subject Matter

Sales & Retail Operations: Experience as a sales representative and cashier across multiple businesses, including perfume shops and restaurants. Key tasks included POS management, cash handling, and sales reporting

Information Technology & Cybersecurity: Academic background in programming and specialized training in cybersecurity. This includes certifications from Cisco and completion of the CS50 programming cours

Graphic Design & Digital Marketing: Professional work creating visual identities, social media posts, and menus. This is supported by certifications in Digital Marketing from Google and Brand Management.

Top Data Types

Text

Computer Code Programming

Top Task Types

Transcription

Data Collection

Freelancer Overview

Data Annotation Worker - Appen Crowdsource and UHRS. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen. Education includes Bachelor of Science, Eastern Mediterranean University (2018) and High School Certificate, Libya Creativity School / Libya School / Libyan School in Algeria (2016). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Annotation Worker - Appen Crowdsource and UHRS

AppenText

Worked on data annotation projects using Appen Crowdsource and UHRS platforms. Labeled and evaluated textual data for AI training and improvement tasks. Engaged in reviewing and rating responses for natural language processing models. • Used established guidelines to ensure data quality and consistency. • Performed relevance and accuracy checks on various text inputs. • Contributed to dataset labeling for search and conversational AI use. • Applied rating scales and categorization for machine learning refinement.

Worked on data annotation projects using Appen Crowdsource and UHRS platforms. Labeled and evaluated textual data for AI training and improvement tasks. Engaged in reviewing and rating responses for natural language processing models. • Used established guidelines to ensure data quality and consistency. • Performed relevance and accuracy checks on various text inputs. • Contributed to dataset labeling for search and conversational AI use. • Applied rating scales and categorization for machine learning refinement.

Not specified

Education

Work History