Emmanuel L.

Key Skills

Software

Other

Mindrift

Toloka

AWS SageMaker

Argilla

Clickworker

Google Cloud Vertex AI

HiveMind

Mercor

Micro1

Remotasks

Roboflow

Sloth

Telus

Internal/Proprietary Tooling

Top Subject Matter

Large Language Models/AI Training

Finance - Risk Analysis & Fraud Detection

E-commerce - Product Categorization & Customer Support

Top Data Types

Text

Document

Computer Code Programming

Top Task Types

RLHF

Prompt + Response Writing (SFT)

Red Teaming

Fine-tuning

Function Calling

Evaluation/Rating

Text Summarization

Text Generation

Data Collection

Computer Programming/Coding

Question Answering

Object Detection

Transcription

Entity (NER) Classification

Freelancer Overview

AI Trainer / Prompt Engineer – Turing, Toloka, Trajectory Labs. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Mindrift, and Toloka. Education includes March, Trajectory Labs; LLM Sec. Red Teamer (2026) and Toloka (, Data Scientist / ML Engineer (2025). AI-training focus includes data types such as Text and labeling workflows including RLHF, Prompt + Response Writing (SFT), and Red Teaming.

Labeling Experience

AI Trainer / Data Annotator – Mindrift

MindriftTextPrompt + Response Writing (SFT)

At Mindrift, I generated diverse training data sets spanning technical, creative, and factual areas as both an AI Trainer and Data Annotator. I rated and ranked model outputs, flagged policy violations, and contributed to instruction tuning and supervised fine-tuning pipelines. These activities directly supported the construction of quality datasets for LLM applications.• Generated training data for technical, creative, and factual content • Rated and ranked AI outputs using set rubrics • Identified and flagged policy edge cases and errors • Contributed to instruction tuning and supervised fine-tuning pipelines

2024 - Present

AI Trainer / Prompt Engineer – Turing

OtherTextFunction Calling

As an AI Trainer and Prompt Engineer at Turing, I wrote, edited, and rated large language model responses covering coding, reasoning, and instruction-following tasks. I crafted prompts and evaluated outputs for quality, accuracy, safety, and alignment, giving structured preference feedback for model improvement. My work helped fine-tune and develop production models using reinforcement learning from human feedback.• Rated and edited LLM responses in technical and reasoning domains • Crafted and assessed prompts for alignment and instruction following • Provided RLHF-driven preference feedback for tuning models • Ensured data quality and annotation best practices throughout

2024 - Present

LLM Security Red Teamer – Trajectory Labs

OtherTextRed Teaming

As an LLM Security Red Teamer at Trajectory Labs, I designed adversarial prompts and scenarios to challenge model robustness and safety. My role included identifying weaknesses in AI agent workflows, such as context handling and failure recovery. The findings improved the evaluation coverage and overall safety of advanced LLMs.• Developed adversarial prompts to test LLM vulnerabilities • Evaluated agent workflow for weaknesses and context handling • Improved AI model safety through red teaming exercises • Delivered structured evaluation findings for quality control

2026 - 2026

Data Scientist / ML Engineer – Toloka

TolokaTextRLHF

As a Data Scientist and ML Engineer at Toloka, I led RLHF fine-tuning experiments focused on rare data scenarios for language models. My responsibilities included designing a human annotation pipeline and implementing evaluation metrics for data quality. This work reduced annotation rework and supported model deployment for challenging content types.• Led RLHF experiments for rare and complex data • Built annotation pipeline with compliance checks • Defined and tracked evaluation metrics for annotation quality • Supported deployment and evaluation of LLM output on obscure media

2024 - 2025

Education

Work History