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Fridah Ndiga

Fridah Ndiga

AI Generalist Trainer

USA flagN/A, Usa
Expert

Key Skills

Software

No software listed

Top Subject Matter

General Language
Reasoning Domain Expertise
Instruction Following

Top Data Types

TextText

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
RLHFRLHF

Freelancer Overview

AI Generalist Trainer. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Massachusetts Institute of Technology (MIT). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT) and RLHF.

Expert

Labeling Experience

AI Generalist Trainer

TextPrompt Response Writing SFT
As an AI Generalist Trainer at OpenAI, I designed and executed training workflows for large language models, focusing on reasoning, instruction-following, and factual consistency. My work involved creating and rating high-quality prompt-response pairs to enhance model performance and clarity. I also performed granular error analysis and collaborated with product teams to refine AI alignment. • Generated large-scale prompt-response data for supervised fine-tuning (SFT) and RLHF workflows. • Evaluated AI outputs using structured rubrics emphasizing coherence and correctness. • Collaborated in iterative model improvement cycles and documented output weaknesses. • Communicated with cross-functional engineering and research teams to align AI capabilities with product goals.

As an AI Generalist Trainer at OpenAI, I designed and executed training workflows for large language models, focusing on reasoning, instruction-following, and factual consistency. My work involved creating and rating high-quality prompt-response pairs to enhance model performance and clarity. I also performed granular error analysis and collaborated with product teams to refine AI alignment. • Generated large-scale prompt-response data for supervised fine-tuning (SFT) and RLHF workflows. • Evaluated AI outputs using structured rubrics emphasizing coherence and correctness. • Collaborated in iterative model improvement cycles and documented output weaknesses. • Communicated with cross-functional engineering and research teams to align AI capabilities with product goals.

2022 - Present

AI Trainer / Data Specialist

TextRLHF
During my tenure at Meta AI as an AI Trainer / Data Specialist, I annotated and curated datasets for enhancing conversational and reasoning-focused AI systems. This included significant hands-on contribution to RLHF by ranking and comparing model outputs for reward model training. I standardized evaluation frameworks and facilitated improvements across coding, general knowledge, and analytical reasoning domains. • Labeled and curated text data for conversational AI and reasoning models. • Ranked and compared model outputs in RLHF workflows for alignment and reward modeling. • Established standardized quality rubrics for output evaluation and feedback. • Supported dataset expansion and iterative data improvement cycles across problem domains.

During my tenure at Meta AI as an AI Trainer / Data Specialist, I annotated and curated datasets for enhancing conversational and reasoning-focused AI systems. This included significant hands-on contribution to RLHF by ranking and comparing model outputs for reward model training. I standardized evaluation frameworks and facilitated improvements across coding, general knowledge, and analytical reasoning domains. • Labeled and curated text data for conversational AI and reasoning models. • Ranked and compared model outputs in RLHF workflows for alignment and reward modeling. • Established standardized quality rubrics for output evaluation and feedback. • Supported dataset expansion and iterative data improvement cycles across problem domains.

2020 - 2022

Education

M

Massachusetts Institute of Technology (MIT)

Bachelor of Science, Computer Science

Bachelor of Science
Not specified

Work History

R

Research Lab

Machine Learning Intern

N/A
2019 - 2020