Samuel Matu

Key Skills

Software

Appen

Telus

Clickworker

Mercor

Micro1

OneForma

Mindrift

Surge AI

Remotasks

Other

Top Subject Matter

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Legal Research & Document Analysis

Top Data Types

Image

Audio

Text

Top Task Types

Classification

Bounding Box

Object Detection

Question Answering

Evaluation Rating

Data Collection

Transcription

Computer Programming Coding

RLHF

Fine Tuning

Freelancer Overview

AI Dataset Labeler & Evaluator (Atlas). Core strengths include Other. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Atlas Annotation Specialist

OtherText

On the Atlas platform, I contributed to AI dataset labeling and systematic quality evaluation. My responsibilities included labeling, reviewing, and maintaining high attention to detail in text annotation tasks for machine learning. My work directly impacted final dataset reliability for AI model development. • Labeled and reviewed text data for AI training sets. • Ensured accuracy and adherence to annotation standards. • Conducted peer reviews for continuous quality improvement. • Maintained detailed logs of annotation activities.

On the Atlas platform, I contributed to AI dataset labeling and systematic quality evaluation. My responsibilities included labeling, reviewing, and maintaining high attention to detail in text annotation tasks for machine learning. My work directly impacted final dataset reliability for AI model development. • Labeled and reviewed text data for AI training sets. • Ensured accuracy and adherence to annotation standards. • Conducted peer reviews for continuous quality improvement. • Maintained detailed logs of annotation activities.

2022 - Present

Outlier AI Training Task Contributor

TextClassification

At Outlier AI, I worked on AI training tasks involving comprehensive text analysis and annotation. I assisted in refining datasets through careful linguistic labeling and provided targeted feedback on model outputs. My contributions supported the ongoing improvement of machine learning models utilized in natural language applications. • Analyzed and labeled text data for AI research purposes. • Improved data sets for training advanced NLP models. • Collaborated on annotation guidelines. • Provided detailed error analyses for dataset refinement.

At Outlier AI, I worked on AI training tasks involving comprehensive text analysis and annotation. I assisted in refining datasets through careful linguistic labeling and provided targeted feedback on model outputs. My contributions supported the ongoing improvement of machine learning models utilized in natural language applications. • Analyzed and labeled text data for AI research purposes. • Improved data sets for training advanced NLP models. • Collaborated on annotation guidelines. • Provided detailed error analyses for dataset refinement.

2022 - Present

TELUS AI Data Evaluator

TelusText

For TELUS AI, I completed AI data evaluation and labeling tasks based on project-specific guidelines. My work involved reviewing and verifying labeled content to ensure adherence to quality standards. I was responsible for the final validation of annotated datasets destined for AI training. • Evaluated and rated AI-labeled data for accuracy. • Performed error checking and data validation. • Documented feedback for continuous improvement. • Followed detailed project guidelines systematically.

For TELUS AI, I completed AI data evaluation and labeling tasks based on project-specific guidelines. My work involved reviewing and verifying labeled content to ensure adherence to quality standards. I was responsible for the final validation of annotated datasets destined for AI training. • Evaluated and rated AI-labeled data for accuracy. • Performed error checking and data validation. • Documented feedback for continuous improvement. • Followed detailed project guidelines systematically.

2022 - Present

Appen Data Labeling Specialist

AppenTextClassification

On the Appen CrowdGen Platform, I participated in language-based AI training tasks such as data labeling and evaluation. I contributed to refining machine learning models through high-quality text annotation and categorization. My role required interpreting annotation guidelines and consistently applying them to diverse linguistic data. • Labeled and classified textual data for NLP applications. • Evaluated language samples to improve model performance. • Worked with cross-functional teams remotely. • Maintained accuracy under strict quality protocols.

On the Appen CrowdGen Platform, I participated in language-based AI training tasks such as data labeling and evaluation. I contributed to refining machine learning models through high-quality text annotation and categorization. My role required interpreting annotation guidelines and consistently applying them to diverse linguistic data. • Labeled and classified textual data for NLP applications. • Evaluated language samples to improve model performance. • Worked with cross-functional teams remotely. • Maintained accuracy under strict quality protocols.

2022 - Present

AI Data Labeling Contributor

RemotasksTextClassification

As an AI Data Labeling Contributor on remote platforms, I annotated, classified, and evaluated datasets for machine learning and artificial intelligence training. My work involved following strict annotation guidelines to ensure high-quality, consistent, and accurate labeled data. I contributed to multiple projects, helping to create reliable data foundations for training advanced AI models. • Performed text classification, content categorization, and data tagging across projects. • Maintained rigorous attention to detail and data quality standards. • Evaluated and reviewed datasets for clarity and accuracy. • Used multiple annotation platforms: Remotasks, Appen, TELUS AI, Outlier AI, and Atlas.

As an AI Data Labeling Contributor on remote platforms, I annotated, classified, and evaluated datasets for machine learning and artificial intelligence training. My work involved following strict annotation guidelines to ensure high-quality, consistent, and accurate labeled data. I contributed to multiple projects, helping to create reliable data foundations for training advanced AI models. • Performed text classification, content categorization, and data tagging across projects. • Maintained rigorous attention to detail and data quality standards. • Evaluated and reviewed datasets for clarity and accuracy. • Used multiple annotation platforms: Remotasks, Appen, TELUS AI, Outlier AI, and Atlas.

2022 - Present

Education

Work History