Joseph Manono

Key Skills

Software

Mercor

Appen

Remotasks

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Computer Code Programming

Image

Video

Top Label Types

Evaluation Rating

Classification

Segmentation

Freelancer Overview

I have hands-on experience in data annotation and labeling, particularly supporting computer vision and autonomous systems through 2D and 3D (Lidar) data annotation projects. My work has focused on structuring and labeling large datasets to improve the performance and accuracy of machine learning algorithms. I am skilled in maintaining high annotation quality, adhering to rigorous validation protocols, and collaborating with distributed teams to ensure consistency and timely delivery. With a strong background in data analysis using tools such as R, Python, SAS, SQL, and advanced Excel, I am adept at both the technical and quality control aspects of AI training data. My experience spans working with structured datasets, data quality assurance, and supporting model training, making me well-equipped to contribute to data-driven AI projects.

Labeling Experience

LLM Rubrics Grader / AI Model Evaluator (Independent Contractor)

MercorTextEvaluation Rating

As an LLM Rubrics Grader and AI Model Evaluator, I evaluated and scored large language model outputs using structured rubrics and quality guidelines. My role involved assessing responses for accuracy, relevance, reasoning quality, safety, and adherence to instructions. I supported LLM training by maintaining consistent and high-quality grading practices. • Evaluated LLM responses for quality and rubric compliance. • Used structured guidelines to provide detailed feedback and ratings. • Helped improve model accuracy through critical assessment. • Maintained productivity and quality benchmarks for ongoing reviews.

As an LLM Rubrics Grader and AI Model Evaluator, I evaluated and scored large language model outputs using structured rubrics and quality guidelines. My role involved assessing responses for accuracy, relevance, reasoning quality, safety, and adherence to instructions. I supported LLM training by maintaining consistent and high-quality grading practices. • Evaluated LLM responses for quality and rubric compliance. • Used structured guidelines to provide detailed feedback and ratings. • Helped improve model accuracy through critical assessment. • Maintained productivity and quality benchmarks for ongoing reviews.

2019

AI Training Data Specialist / Video Annotation Analyst (Independent Contractor)

AppenVideoClassification

As an AI Training Data Specialist and Video Annotation Analyst, I generated labeled video datasets to support computer vision model training and validation. My tasks included analyzing and categorizing video content based on detailed annotation taxonomies. I ensured high annotation accuracy and adapted to evolving project guidelines. • Labeled videos for training computer vision algorithms. • Categorized and classified video scenes by taxonomy. • Maintained annotation quality and adhered to strict KPIs. • Adapted to changing project requirements in a remote environment.

As an AI Training Data Specialist and Video Annotation Analyst, I generated labeled video datasets to support computer vision model training and validation. My tasks included analyzing and categorizing video content based on detailed annotation taxonomies. I ensured high annotation accuracy and adapted to evolving project guidelines. • Labeled videos for training computer vision algorithms. • Categorized and classified video scenes by taxonomy. • Maintained annotation quality and adhered to strict KPIs. • Adapted to changing project requirements in a remote environment.

2025 - 2025

AI Data Specialist / Machine Learning Data Annotator (Independent Contractor)

Remotasks3D SensorSegmentation

In my position as an AI Data Specialist and Machine Learning Data Annotator, I created high-quality labeled datasets for autonomous vehicle models using 2D and 3D LiDAR data. I annotated complex scenes to support computer vision and perception systems for self-driving technology. My work focused on accurate spatial data handling and strict guideline compliance for supervised learning pipelines. • Labeled and segmented 2D and 3D sensor data for autonomous vehicles. • Applied quality control to ensure data integrity and consistency. • Translated technical labeling rules into precise annotations. • Supported model improvement through detailed data preparation.

In my position as an AI Data Specialist and Machine Learning Data Annotator, I created high-quality labeled datasets for autonomous vehicle models using 2D and 3D LiDAR data. I annotated complex scenes to support computer vision and perception systems for self-driving technology. My work focused on accurate spatial data handling and strict guideline compliance for supervised learning pipelines. • Labeled and segmented 2D and 3D sensor data for autonomous vehicles. • Applied quality control to ensure data integrity and consistency. • Translated technical labeling rules into precise annotations. • Supported model improvement through detailed data preparation.

2021 - 2023

Education

Work History