Steven Gerard

Key Skills

Software

OneForma

Mindrift

Appen

Top Subject Matter

AI Training

Data Annotation

LLM Evaluation

Top Data Types

Text

Computer Code Programming

Audio

Top Task Types

Prompt Response Writing SFT

RLHF

Computer Programming Coding

Data Collection

Text Summarization

Red Teaming

Evaluation Rating

Function Calling

Text Generation

Segmentation

Classification

Transcription

Freelancer Overview

I am a multilingual AI and data operations specialist with a strong technical background in full-stack web development (certified full-stack developer). I have hands-on experience across platforms such as OneForma (UHRS), Appen, Outlier, and Start.ai, working on data annotation, LLM evaluation, safety testing, prompt refinement, content rating, and model output quality control. My technical skills in Python, JavaScript, SQL, and general debugging allow me to understand complex workflows, analyze model behavior, and troubleshoot issues efficiently. I am comfortable working with structured data, evaluation scenarios, and code-supported AI tasks, particularly in hybrid human-in-the-loop environments. Beyond AI operations, I bring several years of experience in logistics, quality control, and customer operations, which strengthened my ability to follow detailed guidelines, maintain high accuracy, and deliver consistent, reliable results at scale. I am adaptable, detail-oriented, fast to learn new systems, and motivated to contribute to projects that improve AI performance, safety, and reliability. Native French speaker with advanced English and Spanish.

Labeling Experience

AI Pilot / Coding Contributor – Mindrift

Mindrift

As an AI Pilot / Coding Contributor at Mindrift, I participate in developing and fine-tuning AI models through code annotation and code review. My responsibilities involve evaluating code samples and creating annotated datasets for programming-related AI tasks. I ensure code quality, accuracy, and adherence to AI training standards. • Annotate and review code for AI model training datasets. • Fine-tune programming-focused language models. • Submit code samples and corrections for dataset enrichment. • Collaborate with team members on improving annotation strategies.

As an AI Pilot / Coding Contributor at Mindrift, I participate in developing and fine-tuning AI models through code annotation and code review. My responsibilities involve evaluating code samples and creating annotated datasets for programming-related AI tasks. I ensure code quality, accuracy, and adherence to AI training standards. • Annotate and review code for AI model training datasets. • Fine-tune programming-focused language models. • Submit code samples and corrections for dataset enrichment. • Collaborate with team members on improving annotation strategies.

2026 - Present

Data Annotator – OneForma

OneformaText

As a Data Annotator at OneForma, I performed detailed annotation and validation of text-based datasets. I was responsible for accurately labeling a wide variety of content to support AI model development. My tasks focused on textual data classification and quality assurance processes. • Conducted thorough data annotation and reviewed label accuracy. • Ensured compliance with project guidelines and quality standards. • Collaborated with remote teams to complete high-volume labeling. • Provided feedback to improve annotation instructions and processes.

As a Data Annotator at OneForma, I performed detailed annotation and validation of text-based datasets. I was responsible for accurately labeling a wide variety of content to support AI model development. My tasks focused on textual data classification and quality assurance processes. • Conducted thorough data annotation and reviewed label accuracy. • Ensured compliance with project guidelines and quality standards. • Collaborated with remote teams to complete high-volume labeling. • Provided feedback to improve annotation instructions and processes.

2024 - Present

Search / AI Trainer – Outlier

Text

As a Search / AI Trainer at Outlier, I participated in AI model evaluation and improvement through search relevance assessments. My work involved rating, categorizing, and providing feedback on query responses produced by AI systems. I contributed insights to optimize the accuracy and relevance of large language model outputs. • Evaluated AI-generated responses for appropriateness and accuracy. • Classified search result relevance for diverse queries. • Applied project-specific evaluation metrics and guidelines. • Documented feedback to aid continuous AI model training.

As a Search / AI Trainer at Outlier, I participated in AI model evaluation and improvement through search relevance assessments. My work involved rating, categorizing, and providing feedback on query responses produced by AI systems. I contributed insights to optimize the accuracy and relevance of large language model outputs. • Evaluated AI-generated responses for appropriateness and accuracy. • Classified search result relevance for diverse queries. • Applied project-specific evaluation metrics and guidelines. • Documented feedback to aid continuous AI model training.

2024 - 2025

Education

Work History