Daniel Njoroge

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Datatroniq

Datumbox

Labelbox

Label Studio

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Top Label Types

Computer Programming Coding

Data Collection

Prompt Response Writing SFT

Freelancer Overview

Detail-oriented contributor with a background in data labelling, generative AI, and computer programming. Experienced in reviewing educational content, drafting structured question templates, and supporting AI training workflows for learning platforms. Holds a degree in Industrial Chemistry with strong foundations in mathematics and statistics. Comfortable working in remote, guideline- driven environments and collaborating with technical teams to ensure content accuracy and clarity

Labeling Experience

AI Content Evaluator

Scale AITextClassificationText Summarization

- Rated and compared AI-generated responses using rubric-based scoring - Labeled complex chemistry datasets and verified structured scientific responses - Contributed to RLHF workflows by comparing model outputs for quality and clarity - Used Scale to annotation data for the purpose model behavior optimisation

- Rated and compared AI-generated responses using rubric-based scoring - Labeled complex chemistry datasets and verified structured scientific responses - Contributed to RLHF workflows by comparing model outputs for quality and clarity - Used Scale to annotation data for the purpose model behavior optimisation

2025 - 2025

Labelling Contributor

Label StudioVideoBounding BoxPolygon

- Annotated educational and contextual data for AI training pipelines - Followed detailed labeling protocols to ensure alignment with learning objectives - Resolved critical production issues and provided root cause analyses - Communicated asynchronously with content reviewers to improve data integrity - Used generative AI tools to enhance labeling clarity and reduce review cycles

- Annotated educational and contextual data for AI training pipelines - Followed detailed labeling protocols to ensure alignment with learning objectives - Resolved critical production issues and provided root cause analyses - Communicated asynchronously with content reviewers to improve data integrity - Used generative AI tools to enhance labeling clarity and reduce review cycles

2024 - 2025

AI Content Evaluator

LabelboxTextQuestion AnsweringRLHF

- Reviewed AI-generated answers in chemistry and STEM using metrics such as factual accuracy, depth of reasoning, and scientific correctness - Applied structured rubrics to assess chemical explanations, unit consistency, and safety assumptions - Identified AI hallucinations and logical flaws in responses to general questions - Annotated data for reinforcement learning pipelines using Labelbox - Provided detailed feedback to improve model alignment and instructional quality

- Reviewed AI-generated answers in chemistry and STEM using metrics such as factual accuracy, depth of reasoning, and scientific correctness - Applied structured rubrics to assess chemical explanations, unit consistency, and safety assumptions - Identified AI hallucinations and logical flaws in responses to general questions - Annotated data for reinforcement learning pipelines using Labelbox - Provided detailed feedback to improve model alignment and instructional quality

2024 - 2025

Labeling Contributor

AppenImageBounding BoxPolygon

-Annotated educational and contextual data for AI training pipelines - Followed detailed labeling protocols to ensure alignment with learning objectives - Resolved critical production issues and provided root cause analyses -Communicated asynchronously with content reviewers to improve data integrity -Used generative AI tools to enhance labeling clarity and reduce review cycles

-Annotated educational and contextual data for AI training pipelines - Followed detailed labeling protocols to ensure alignment with learning objectives - Resolved critical production issues and provided root cause analyses -Communicated asynchronously with content reviewers to improve data integrity -Used generative AI tools to enhance labeling clarity and reduce review cycles

2024 - 2025

Coding Data Annotator

Data Annotation TechComputer Code ProgrammingComputer Programming Coding

- Label code snippets with metadata like programming language, function type, and complexity level - Annotate intent behind code, such as problem-solving strategies or optimization goals - Label edge cases and performance implications where applicable

- Label code snippets with metadata like programming language, function type, and complexity level - Annotate intent behind code, such as problem-solving strategies or optimization goals - Label edge cases and performance implications where applicable

2022 - 2024

Education

Work History