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Technical AI Trainer & Freelance Consultant (Self-Employed)

United Kingdom flagCalifornia, United Kingdom

Key Skills

Software

Other

Top Subject Matter

LLM testing
RLHF-style evaluation
dataset quality review

Top Data Types

TextText
DocumentDocument

Top Task Types

ClassificationClassification
TrackingTracking
RLHFRLHF
Red TeamingRed Teaming
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

Technical AI Trainer & Freelance Consultant (Self-Employed). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, University of New York (2020). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Freelance AI Evaluation Consultant - Self-Employed

TextTextClassificationClassificationTrackingTracking

You generate complex programmatic prompts and multi-turn conversational scenarios to test large language models and evaluate their behavior. You review, rank, and validate AI-generated code and dataset content using strict logical safety and quality guidelines. The role requires strong computer science foundations, analytical reasoning, and precise technical feedback skills. • LLM prompt and scenario creation for testing • Code output evaluation and ranking across Python, JavaScript, and SQL • Dataset review using quality-ranking metrics • Identification of hallucinations, subtle flaws, and logic edge cases

2021 - Present

Technical AI Trainer & Freelance Consultant (Self-Employed)

OtherTextText

Delivered RLHF-adjacent evaluation work by generating LLM test prompts and running systematic quality checks on code and text outputs. Ranked AI-generated code and dataset entries based on syntactic correctness, algorithmic optimization, and logical safety requirements. Produced structured, analytical feedback to identify hallucinations and subtle logic edge cases. • Created programmatic prompts and multi-turn scenarios for LLM testing • Evaluated and ranked code outputs for correctness and safety compliance • Reviewed and quality-ranked text datasets for reasoning and logical deduction • Identified hallucinations and edge cases for dataset curation

2021 - Present

Junior Software Developer / QA Analyst (Technology Solutions Corp.)

Other

Conducted manual and automated testing and code repository reviews to verify functional alignment with engineering specifications. Logged and tracked software bugs and authored technical documentation to improve developer workflows. While primarily QA, the work involved systematic evaluation of software outputs. • Reviewed code repositories for correctness • Ran manual/automated tests on web applications • Documented and tracked bugs with cross-functional teams • Authored system guides and bug tracking reports

2020 - 2021

Education

U

University of New York

Bachelor of Science, Computer Science

Bachelor of Science
2017 - 2020

Work History

S

Self-Employed

Freelance AI Evaluation Consultant

California
2021 - Present
T

Technology Solutions Corp.

Junior Software Developer and QA Analyst

California
2020 - 2021