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Mandela Simons Gray

AI Trainer & Machine Learning Engineer – TechVision Analytics

Expert

Key Skills

Software

No software listed

Top Subject Matter

Natural Language Processing
Computer Vision
Llms Domain Expertise

Top Data Types

TextText
ImageImage

Top Task Types

RLHF
Object Detection
Prompt Response Writing SFT

Freelancer Overview

AI Trainer & Machine Learning Engineer – TechVision Analytics. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and OpenCV. Education includes Bachelor of Science, State University (2019). AI-training focus includes data types such as Text and Image and labeling workflows including RLHF, Object Detection, and Prompt + Response Writing (SFT).

Expert

Labeling Experience

AI Trainer & Machine Learning Engineer – TechVision Analytics

TextRLHF
Curated and annotated large-scale training datasets for both NLP and computer vision models with a focus on quality and accuracy. Conducted RLHF evaluations and prompt engineering experiments to refine LLM outputs for language model alignment and behavioral improvement. Developed annotation guidelines and performed structured quality assurance on AI-generated content. • Labeled over 500,000 NLP/computer vision samples and authored guidelines to boost annotation consistency. • Evaluated, ranked, and rated LLM outputs, delivering actionable RLHF for model training. • Built and automated Python-based pipelines to reduce dataset cleaning and validation effort. • Collaborated cross-functionally to ensure data labeling supported product requirements and ML objectives.

Curated and annotated large-scale training datasets for both NLP and computer vision models with a focus on quality and accuracy. Conducted RLHF evaluations and prompt engineering experiments to refine LLM outputs for language model alignment and behavioral improvement. Developed annotation guidelines and performed structured quality assurance on AI-generated content. • Labeled over 500,000 NLP/computer vision samples and authored guidelines to boost annotation consistency. • Evaluated, ranked, and rated LLM outputs, delivering actionable RLHF for model training. • Built and automated Python-based pipelines to reduce dataset cleaning and validation effort. • Collaborated cross-functionally to ensure data labeling supported product requirements and ML objectives.

2022 - Present

Junior Data Scientist & AI Trainer – Insight Data Corp

ImageObject Detection
Annotated and labeled multimodal datasets including images, text, and video for supervised learning models. Maintained strict quality standards and produced documentation and guidelines to standardize labeling practices across the team. Implemented workflows with OpenCV to automate quality inspection of labeled data. • Achieved 98% annotation accuracy and reduced manual labor with automation tools. • Labeled data for tone, accuracy, helpfulness, and safety on NLP outputs. • Authored rubrics adopted as annotation and evaluation standards. • Conducted EDA on over 50M records to find labeling inconsistencies and improve data quality.

Annotated and labeled multimodal datasets including images, text, and video for supervised learning models. Maintained strict quality standards and produced documentation and guidelines to standardize labeling practices across the team. Implemented workflows with OpenCV to automate quality inspection of labeled data. • Achieved 98% annotation accuracy and reduced manual labor with automation tools. • Labeled data for tone, accuracy, helpfulness, and safety on NLP outputs. • Authored rubrics adopted as annotation and evaluation standards. • Conducted EDA on over 50M records to find labeling inconsistencies and improve data quality.

2020 - 2021

ML Developer & Data Annotator (Freelance) – Self-Employed

TextPrompt Response Writing SFT
Developed, labeled, and delivered diverse AI training datasets, including annotated text corpora and images for NLP and recommendation models. Designed prompt templates and quality assurance loops to enhance the relevance and accuracy of NLP system outputs. Built and maintained full-stack data annotation pipelines for client-facing chatbot and conversational AI initiatives. • Delivered labeled datasets for 8+ clients targeting chatbot and dialogue training. • Improved response relevance through structured prompt engineering feedback cycles. • Created materials and documentation to standardize annotation workflows for customers. • Managed versioning and automation for large-scale data labeling operations.

Developed, labeled, and delivered diverse AI training datasets, including annotated text corpora and images for NLP and recommendation models. Designed prompt templates and quality assurance loops to enhance the relevance and accuracy of NLP system outputs. Built and maintained full-stack data annotation pipelines for client-facing chatbot and conversational AI initiatives. • Delivered labeled datasets for 8+ clients targeting chatbot and dialogue training. • Improved response relevance through structured prompt engineering feedback cycles. • Created materials and documentation to standardize annotation workflows for customers. • Managed versioning and automation for large-scale data labeling operations.

2019 - 2020

Education

S

State University

Bachelor of Science, Computer Science

Bachelor of Science
2015 - 2019

Work History

T

TechVision Analytics

AI Trainer & Machine Learning Engineer

Location not specified
2022 - Present
I

Insight Data Corp

Junior Data Scientist & AI Trainer

Location not specified
2020 - 2021