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Freelancer

Freelancer

AI Trainer & LLM Evaluation (Freelance, Remote)

USA flagBrooklyn park, Usa

Key Skills

Software

Don't disclose
Other

Top Subject Matter

LLM code evaluation
prompt engineering
and human feedback for software correctness

Top Data Types

TextText
DocumentDocument

Top Task Types

Bounding BoxBounding Box
RLHFRLHF
Computer Programming/CodingComputer Programming/Coding
Data CollectionData Collection
Text GenerationText Generation
Question AnsweringQuestion Answering

Freelancer Overview

AI Trainer & LLM Evaluation (Freelance, Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Master of Science, University of Nairobi (2024) and Bachelor of Science, University of Nairobi (2020). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

Freelance Full-Stack Developer & Technical Reviewer (AI-Assisted Code Evaluation)

Other

Freelance full-stack development work that included AI-assisted code review and structured validation of tool-generated outputs. You reviewed and validated code produced with AI tools to ensure correctness, security, and adherence to requirements. This functioned as a human evaluation layer before code reached production. • Verified AI-assisted outputs from tools such as GitHub Copilot, ChatGPT, and Claude • Assessed correctness, security, and requirement compliance prior to deployment • Performed code review and quality assessment as part of the delivery process • Documented technical decisions and trade-offs for stakeholders

2023 - Present

AI Trainer & LLM Evaluation (Freelance, Remote)

Don't disclose

Freelance AI training work involving evaluating large language model (LLM) outputs before they are incorporated into software projects. You performed rubric-based assessments of AI-generated code responses for correctness, efficiency, readability, maintainability, and security. You also applied human-in-the-loop review to detect logical errors, hallucinations, and instruction-following failures. • Reviewed AI-generated programming responses prior to production integration • Applied comparative response assessment across multiple candidate solutions • Performed manual testing, debugging, and code review to validate outputs • Used prompt engineering to improve instruction adherence and response quality

2022 - Present

Education

U

University of Nairobi

Master of Science, Computer Science

Master of Science
2024
U

University of Nairobi

Bachelor of Science, Information Technology

Bachelor of Science
2020

Work History

N

Nyamira County Referral Hospital

IT Support & Systems Administrator (Volunteer)

Nyamira
2025 - Present
S

Self-Employed

Freelance Full-Stack Developer & Technical Reviewer

N/A
2023 - Present