Hassan D.

Key Skills

Software

Mercor

Micro1

Top Subject Matter

LLM training via RLHF and prompt/response evaluation

Multimodal dataset annotation for ML development

Prompt engineering and evaluation for model training support

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Prompt + Response Writing (SFT)

Red Teaming

Freelancer Overview

AI Data Annotator & Prompt Engineer (Outlier.ai). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Outlier, Atlas Capture, and Luel. Education includes Bachelor of Science, Federal University Oye-Ekiti (FUOYE) (2025). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Prompt Engineer & AI Response Evaluator (Luel)

TextPrompt + Response Writing (SFT)

Crafted targeted prompts to test AI reasoning, factual accuracy, and instruction-following behavior. Evaluated AI outputs across multiple dimensions including tone, relevance, safety, and factual correctness. Flagged hallucinations, biases, and unsafe content using structured feedback and detailed annotation notes, including for multilingual evaluation. • Prompt generation for targeted capability testing • Multidimensional output evaluation (safety, relevance, correctness) • Hallucination, bias, and unsafe-output annotation • Multilingual evaluation and performance assessment across languages

2024 - Present

AI Trainer & Data Labeler (Atlas Capture)

Text

Annotated text, image, and audio datasets using precise labeling guidelines to support machine learning model development. Classified, tagged, and segmented data with high accuracy and consistency following evolving annotation schemas. Participated in image annotation tasks and reviewed peer work to ensure dataset integrity and labeling consistency. • Text labeling with guideline-based classification and tagging • Image annotation including bounding boxes and semantic segmentation • Audio dataset transcription/tagging support • Peer quality checks to maintain labeling standards

2024 - Present

AI Data Annotator & Prompt Engineer (Outlier.ai)

TextRLHF

Provided high-volume text, code, and reasoning annotations to train and fine-tune large language models. Wrote targeted prompts and evaluated model responses using structured rubrics for accuracy, coherence, helpfulness, and safety. Delivered detailed rationales that supported RLHF pipelines to improve model behavior and alignment. • Prompt design to probe model capabilities and weaknesses • Response ranking and rubric-based evaluation for quality and safety • Written rationales for ratings in RLHF workflows • Maintained high acceptance rates and quality scores across task categories

2024 - Present

Technical AI Annotator (Micro1)

Micro1

Performed code review and evaluation of AI-generated code for correctness, efficiency, and adherence to best practices. Provided structured feedback across multiple programming languages and problem types. Completed reasoning and mathematics annotation tasks requiring high analytical precision while contributing to text, audio, and technical annotation workflows. • AI code evaluation for correctness and efficiency • Structured feedback on coding outputs across languages • Reasoning and mathematics annotation • Cross-modality contributions (text/audio/technical) in pipelines

2023 - Present

AI Model Evaluator & Content Reviewer (Mercor)

MercorTextRed Teaming

Assessed AI-generated content for quality, coherence, and alignment with user intent across diverse use cases. Completed RLHF-related side-by-side comparisons and rankings of competing responses. Reviewed outputs for policy compliance, safety violations, and factual inaccuracies while collaborating with distributed teams to keep annotation standards consistent. • Side-by-side comparison and response ranking for RLHF • Safety/policy compliance checks and factuality review • Quality and coherence assessment versus user intent • Async collaboration to standardize annotation criteria

2023 - Present

Education

Work History