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E
Emmanuel M.

Emmanuel M.

Freelance AI Trainer (OpenTrain / Outlier AI / Scale AI)

Nigeria flagAbuja, Nigeria

Key Skills

Software

Data Annotation TechData Annotation Tech

Top Subject Matter

LLM evaluation
safety alignment
and reasoning verification (engineering and technical domains)

Top Data Types

TextText

Top Task Types

RLHFRLHF

Freelancer Overview

Freelance AI Trainer (OpenTrain / Outlier AI / Scale AI). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenTrain and Data Annotation Tech. Education includes Bachelor of Science, University of [City] and Prompt Engineering Certificate, OpenAI and DeepLearning.AI (2023). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Freelance AI Trainer (OpenTrain / Outlier AI / Scale AI)

TextTextRLHFRLHF

Provided RLHF preference data by evaluating and ranking LLM outputs across dozens of projects to improve language model alignment. Conducted adversarial prompt engineering and red-teaming to surface jailbreak vectors, safety gaps, and hallucination behaviors in production systems. Performed reasoning step verification with process-level feedback to support downstream reward model training and quality improvement. • RLHF preference ranking from ranked model outputs • Red-teaming and safety testing for jailbreak and hallucination detection • Reasoning verification for math and logic chain steps • High-quality scoring and consistency across annotation platforms

2023 - Present
Data Annotation Tech

AI Data Annotator (DataAnnotation.tech)

Data Annotation TechData Annotation TechTextText

Completed 500+ hours of AI data work including response evaluation, instruction-following assessment, and creative writing review. Produced detailed rationale for model output rankings to improve dataset consistency and inter-annotator agreement. Supported technical domain labeling such as STEM reasoning verification and code quality review while adhering to style guides and quality rubrics. • Response evaluation and instruction-following assessment • Ranking rationale to improve consistency • STEM problem-solving verification and code quality review • Creative writing review under defined quality rubrics

2022 - 2023

Education

C

Coursera and DeepLearning.AI

AI Training Fundamentals Certificate, Artificial Intelligence

AI Training Fundamentals Certificate
2023 - 2023
O

OpenAI and DeepLearning.AI

Prompt Engineering Certificate, Computer Science

Prompt Engineering Certificate
2023 - 2023

Work History

O

OpenTrain / Outlier AI / Scale AI

Freelance AI Trainer

Location not specified
2023 - Present
D

DataAnnotation.tech

AI Data Annotator

Location not specified
2022 - 2023