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Independent Contractor - Data Annotation & QA (Outlier)

Philippines flagBulacan, Philippines
$50.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

AI Model Training (LLMs, NLP)
Information Technology & Computer Programming
Regulatory Compliance & Risk Analysis

Top Data Types

Computer Code ProgrammingComputer Code Programming
TextText
AudioAudio

Top Task Types

RLHFRLHF
Evaluation/RatingEvaluation/Rating
Computer Programming/CodingComputer Programming/Coding
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
TranscriptionTranscription
Bounding BoxBounding Box

Freelancer Overview

Independent Contractor - Data Annotation & QA (Outlier). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating. Education includes Bachelor of Science, National University – Baliwag (2022) and High School Diploma, Grace of Shekinah School Inc. (2022).

Entry LevelEnglish

Labeling Experience

Independent Contractor - Data Annotation & QA (Outlier)

OtherText
As an Independent Contractor at Outlier, I specialized in data annotation and quality assurance to support the training of Large Language Models (LLMs). My responsibilities included high-accuracy data labeling, rigorous evaluation of generated data, and correcting inconsistencies for improved model performance. I employed prompt engineering techniques and leveraged LLM tools to generate, test, and refine data outputs. • Performed project-based text data labeling and evaluation for LLM datasets. • Leveraged strong technical literacy and code comprehension to ensure label quality on technical data. • Applied detailed prompt engineering to assess and create high-quality AI-generated content. • Ensured ethical and accurate outputs in all labeling and review tasks.

As an Independent Contractor at Outlier, I specialized in data annotation and quality assurance to support the training of Large Language Models (LLMs). My responsibilities included high-accuracy data labeling, rigorous evaluation of generated data, and correcting inconsistencies for improved model performance. I employed prompt engineering techniques and leveraged LLM tools to generate, test, and refine data outputs. • Performed project-based text data labeling and evaluation for LLM datasets. • Leveraged strong technical literacy and code comprehension to ensure label quality on technical data. • Applied detailed prompt engineering to assess and create high-quality AI-generated content. • Ensured ethical and accurate outputs in all labeling and review tasks.

2026 - Present

Education

G

Grace of Shekinah School Inc.

High School Diploma, Science, Technology, Engineering, and Mathematics

High School Diploma
2016 - 2022
G

Grace of Shekinah School Inc.

Elementary School Diploma, General Primary Education

Elementary School Diploma
2010 - 2016

Work History

M

March 6

OUTLIER

Location not specified
2026 - Present