Albert S.

Key Skills

Software

Other

Labelbox

Label Studio

Top Subject Matter

AI-generated text response evaluation for training data quality

NLP dataset labeling and preprocessing for model training

Computer vision labeling for training datasets

Top Data Types

Text

Image

Audio

Top Task Types

Segmentation

Classification

Freelancer Overview

Data Labeling Analyst / AI Trainer (Text Evaluation and Grading). Core strengths include Other, Labelbox, and Label Studio. Education includes Bachelor of Science, University of Ghana (2023). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Evaluation, Rating, and Entity (NER).

Labeling Experience

Data Labeling Analyst / AI Trainer (Text Evaluation and Grading)

OtherText

Evaluated and graded AI-generated text responses using strict guidelines for accuracy, helpfulness, and factual truth. Performed quality-focused review to ensure only reliable content was included for downstream AI use. Collaborated with processes that emphasize precision and guideline adherence. • Graded text responses for correctness, usefulness, and factual accuracy. • Flagged subtle errors in complex text to protect training quality. • Used production quotas to deliver consistent daily output. • Ensured benchmark-style accuracy ratings met team expectations.

2025 - Present

Data Labeling Specialist | AI Trainer (Audio/Multimodal Categorization)

OtherAudioClassification

Categorized large batches of audio data according to specific project rulebooks. Used multiple digital annotation platforms to apply agreed label categories with high precision. Conducted QA auditing to reduce errors and improve dataset reliability. • Assigned audio categories based on project-defined rulebooks. • Applied labels using digital annotation platforms with precision. • Audited completed datasets for quality control. • Flagged inconsistencies and formatting issues before submission.

2024 - 2024

Data Labeling Specialist | AI Trainer (Computer Vision Annotation)

Label StudioImageSegmentation

Annotated image data and prepared labeled outputs according to evolving project rulebooks. Applied structured computer vision labeling and performed quality checks prior to final submission. Adapted quickly to changing annotation requirements while maintaining consistent throughput. • Used labeling platforms to apply classifications and structured annotations. • Performed bounding boxes, semantic segmentation, keypoints, and polygon mapping. • Double-checked formatting and consistency issues during QA. • Communicated with project managers to resolve ambiguous instructions.

2024 - 2024

Data Labeling Specialist | AI Trainer (Text Classification & NER)

LabelboxText

Performed text classification and named entity recognition (NER) as part of natural language processing model training. Reviewed and edited datasets to improve grammar, phrasing, and factual consistency while maintaining label quality. Focused on catching and correcting subtle issues in complex inputs before submission. • Applied text classification and NER to support NLP model training. • Reviewed datasets to correct grammatical errors and awkward phrasing. • Ensured factual consistency by identifying and correcting incorrect information. • Flagged subtle errors in complex text to maintain high-quality data.

2024 - 2024

Education

Work History