Juma Erick

Key Skills

Software

Appen

Clickworker

CrowdSource

Data Annotation Tech

Deep Systems

Google Cloud Vertex AI

Img Lab

Humanatic

Mighty AI

Mindrift

OneForma

Remotasks

Scale AI

Toloka

Top Subject Matter

General Research

Data Quality

AI Training

Top Data Types

Text

Video

Image

Top Task Types

Data Collection

Classification

Segmentation

Object Detection

Text Generation

Question Answering

Text Summarization

Fine-tuning

Prompt + Response Writing (SFT)

Evaluation/Rating

Transcription

Entity (NER) Classification

Polygon

Bounding Box

Polyline

Cuboid

Red Teaming

RLHF

Point/Key Point

Computer Programming/Coding

Function Calling

Freelancer Overview

Research Assistant (Text Data Evaluation/Annotation). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen and Telus. Education includes Bachelor of Science, Jomo Kenyatta University (2023) and Certificate, Open University of Kenya (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Research Assistant (Text Data Evaluation/Annotation)

AppenText

Worked as a Research Assistant performing systematic data gathering and evaluation for large language model and data quality projects. Ensured accuracy and integrity of datasets used for AI training and testing purposes. Leveraged advanced software and browser setups for optimized annotation workflows. • Performed data validation and evaluation on text-based datasets. • Interpreted evolving project requirements and adapted annotation methodology. • Collaborated with cross-functional teams to align on quality standards. • Maintained strict accuracy and quality benchmarks throughout the labeling process.

Worked as a Research Assistant performing systematic data gathering and evaluation for large language model and data quality projects. Ensured accuracy and integrity of datasets used for AI training and testing purposes. Leveraged advanced software and browser setups for optimized annotation workflows. • Performed data validation and evaluation on text-based datasets. • Interpreted evolving project requirements and adapted annotation methodology. • Collaborated with cross-functional teams to align on quality standards. • Maintained strict accuracy and quality benchmarks throughout the labeling process.

2025 - Present

Data Annotator (Text Data Collection/Annotation)

TelusTextData Collection

Served as a Data Annotator responsible for gathering, entering, and managing text-based datasets for machine learning projects. Used specialized tools and platforms to label and organize data under precise accuracy and quality standards. Structured and maintained datasets to enhance project efficiency. • Conducted annotation and labeling of text data to support AI pipelines. • Employed tools for data entry and project documentation. • Assisted in quality assurance processes for completed annotations. • Collaborated with peers to refine annotation workflows and reporting.

Served as a Data Annotator responsible for gathering, entering, and managing text-based datasets for machine learning projects. Used specialized tools and platforms to label and organize data under precise accuracy and quality standards. Structured and maintained datasets to enhance project efficiency. • Conducted annotation and labeling of text data to support AI pipelines. • Employed tools for data entry and project documentation. • Assisted in quality assurance processes for completed annotations. • Collaborated with peers to refine annotation workflows and reporting.

2023 - 2025

Education

Work History