Mwangi K.

Key Skills

Software

Remotasks

Other

Top Subject Matter

Machine learning dataset annotation for AI training

AI training support through dataset annotation and output evaluation

Data QA/validation and compliance-oriented CRM data support

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

Data Annotator (Futuri Media | Outlier | Remotasks). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks, Other, and Salesforce. Education includes Bachelor of Science, Kenyatta University (2022). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Data Specialist (Upwork)

TextClassification

Delivered long-term data cleanup, validation, and quality assurance for large datasets. Maintained confidentiality and accuracy across sensitive client projects. Supported compliance-related CRM data work by entering and validating records. • Performed data entry and cleanup on large datasets • Conducted validation and quality checks to protect data integrity • Supported Salesforce-based CRM data maintenance • Ensured records met accuracy and documentation standards

2021 - Present

Data Annotator (Futuri Media | Outlier | Remotasks)

RemotasksTextClassification

Performed guideline-based annotation of text, image, and structured datasets for machine learning projects. Reviewed and improved consistency by participating in QA checks and reliability-focused reviews. Supported dataset quality by applying strict evaluation criteria and flagging issues for improvement. • Annotated dataset fields according to predefined instructions • Conducted QA review participation to strengthen annotation standards • Ensured consistency and accuracy across long-running projects • Supported machine learning readiness through guideline adherence

2021 - 2026

AI Trainer / Data Annotation Specialist (Outlier)

OtherText

Annotated and reviewed datasets used for AI model training while ensuring adherence to task guidelines. Evaluated AI outputs for accuracy, relevance, and compliance with provided instructions. Flagged data quality issues and supplied structured feedback to improve subsequent training data. • Completed dataset annotation and verification work • Assessed output quality against rubric and guidelines • Reported errors and inconsistencies with actionable feedback • Contributed to model training data reliability

2024 - 2025

Education

Work History