Elvira N.

Key Skills

Software

Data Annotation Tech

Labelbox

Mercor

Top Subject Matter

LLM response evaluation and RLHF training data

AI application QA and evaluation

AI Annotation

Top Data Types

Image

Video

Geospatial Tiled Imagery

Top Task Types

RLHF

Prompt + Response Writing (SFT)

Object Detection

Segmentation

Freelancer Overview

AI Data Contributor / AI Trainer (Freelance) — Remote (2024–Present). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Freelance QA Tester — Remote (2024–Present)

OtherText

Performed manual and exploratory QA testing for web and AI-based applications, with a focus on identifying logical issues that affect user-facing behavior. Conducted structured testing and documentation to support reliable system evaluation. • Followed structured test cases and documentation standards • Reported bugs with clear reproduction steps and expected vs actual results • Identified logical inconsistencies and usability issues • Conducted exploratory testing of AI-driven features

2024 - Present

AI Data Contributor / AI Trainer (Freelance) — Remote (2024–Present)

OtherTextRLHF

Served as an AI Data Contributor / AI Trainer, evaluating and improving LLM outputs using RLHF-style response feedback. Worked on response ranking, rubric-based scoring, and prompt engineering to increase clarity, depth, and usefulness. • Evaluated and ranked AI-generated responses by accuracy, relevance, and reasoning quality • Applied RLHF methodologies via structured feedback to refine outputs • Annotated datasets using predefined taxonomies and evaluation frameworks • Identified hallucinations, inconsistencies, and factual errors while generating high-quality training data

2024 - Present

Education

Work History