Rakib Yjd

Key Skills

Software

Scale AI

Top Subject Matter

Large Language Model Evaluation

STEM Reasoning

AI Conversational Agents

Top Data Types

Text

Video

Document

Top Task Types

Data Collection

Freelancer Overview

Senior AI Data Scientist & Evaluator (Contract). Brings 10+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI, Internal, and Proprietary Tooling. Education includes Doctor of Philosophy, University of Nairobi (2022) and Master of Science, Kenyatta University (2018). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Senior AI Data Scientist & Evaluator (Contract)

Scale AIText

Responsible for rubric-based evaluation of responses generated by large language models using the Glue Sail methodology. Conducted extensive annotation and quality scoring on various AI agent outputs, focusing on correctness, coherence, and safety. Produced calibrated assessments and contributed to multiple AI evaluation and annotation projects for Outlier AI, Scale AI, and Mindrift. • Applied detailed rubrics to assess instruction-following and multi-step reasoning capabilities • Developed and administered STEM Q&A prompts to identify LLM failure modes • Participated in side-by-side and single-model content evaluation, including conversational persona assessments • Designed atomic rubrics subsequently adopted across annotation workflows

Responsible for rubric-based evaluation of responses generated by large language models using the Glue Sail methodology. Conducted extensive annotation and quality scoring on various AI agent outputs, focusing on correctness, coherence, and safety. Produced calibrated assessments and contributed to multiple AI evaluation and annotation projects for Outlier AI, Scale AI, and Mindrift. • Applied detailed rubrics to assess instruction-following and multi-step reasoning capabilities • Developed and administered STEM Q&A prompts to identify LLM failure modes • Participated in side-by-side and single-model content evaluation, including conversational persona assessments • Designed atomic rubrics subsequently adopted across annotation workflows

2022 - Present

AI Training Agency Architecture (Independent Research)

TextData Collection

Developed and architected a research and annotation platform to support RLHF (Reinforcement Learning from Human Feedback) agency work. Designed annotation vetting systems, quality assurance workflows, and unit economics specific to AI data labeling for mathematical reasoning tasks. Conducted platform and workflow research independently, simulating hands-on annotation agency processes. • Focused on agency architecture for STEM and mathematical reasoning RLHF pipelines • Designed annotator vetting and QA systems to ensure data quality • Modeled financial and operational processes for large-scale annotation projects • Implemented end-to-end workflows from annotator onboarding to data delivery

Developed and architected a research and annotation platform to support RLHF (Reinforcement Learning from Human Feedback) agency work. Designed annotation vetting systems, quality assurance workflows, and unit economics specific to AI data labeling for mathematical reasoning tasks. Conducted platform and workflow research independently, simulating hands-on annotation agency processes. • Focused on agency architecture for STEM and mathematical reasoning RLHF pipelines • Designed annotator vetting and QA systems to ensure data quality • Modeled financial and operational processes for large-scale annotation projects • Implemented end-to-end workflows from annotator onboarding to data delivery

2022 - 2022

Education

Work History