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Marina Ochoa Fernandez

Marina Ochoa Fernandez

5.01 reviews

Data Annotator with 10+ years of experience

Argentina flagRosario, Argentina
$4.00/hrExpertAppenClickworkerCVAT

Key Skills

Software

AppenAppen
ClickworkerClickworker
CVATCVAT
LionbridgeLionbridge
RemotasksRemotasks
Scale AIScale AI
TelusTelus
Other
Internal/Proprietary Tooling

Top Subject Matter

LLM Evaluation in Spanish
Search Engine Evaluator
Voice Assistant Training Recording

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Audio Recording
Bounding Box
Classification
Prompt Response Writing SFT
Text Generation

Freelancer Overview

I'm originally a translator but I've been working in tech, as a data annotator, for almost 17 years now. I started with tagging and then moved on to image labelling. I've been evolving alongside the technology and recently worked with AI, LLM and virtual assistant projects. Image labelling is my best field, as I am highly detail-oriented, but this works well with LLM training too. LLM has also been my preferred field lately as I'm a fast researcher and text analyst due to my background in linguistics. I have been an active independent contractor with now 4 different companies, my oldest contract being more than 10 years old, and have participated in over 100 different projects, both short and long-term.

Expert5.0FrenchEnglishSpanishPortuguese

Reviews (1)

Apr 2025

Labeling Experience

Telus

Audio Data Recordings

TelusAudioAudio Recording
The project consists on recording voice commands to train Virtual Assistants on command recognition. Each bulk to record consists in between 100-250 recordings. Recording is done either in English or Spanish. The prompts include instructions such as tone of voice, intonation, speed and/or volume.

The project consists on recording voice commands to train Virtual Assistants on command recognition. Each bulk to record consists in between 100-250 recordings. Recording is done either in English or Spanish. The prompts include instructions such as tone of voice, intonation, speed and/or volume.

2023

LLM Training

Internal Proprietary ToolingTextEvaluation Rating
On-going training of LLM, analyzing responses based on guidelines, including accuracy, helpfulness, and comparison between similar answers. On occasion, I had to provide feedback on said answers in order to improve them. The project included different steps in the development process as well as different guidelines to apply depending on the type of analysis, i.e. I would analyze the same response on different stages according to the guideline applied to that stage.

On-going training of LLM, analyzing responses based on guidelines, including accuracy, helpfulness, and comparison between similar answers. On occasion, I had to provide feedback on said answers in order to improve them. The project included different steps in the development process as well as different guidelines to apply depending on the type of analysis, i.e. I would analyze the same response on different stages according to the guideline applied to that stage.

2023 - 2024
Appen

Search Engine Evaluator

AppenImageObject Detection
The project included different projects with the same specifications and guidelines. We would work on different rosters and once completed, move on to the next one, but the bulk of each roster included +100k items to analyze. The task consisted on matching the search term to the images provided by the search engine and determine it's accuracy.

The project included different projects with the same specifications and guidelines. We would work on different rosters and once completed, move on to the next one, but the bulk of each roster included +100k items to analyze. The task consisted on matching the search term to the images provided by the search engine and determine it's accuracy.

2017 - 2021
Appen

Search Engine Evaluator

AppenTextEntity Ner Classification
The project consisted on multiple tasks to classify different search terms based on the guidelines provided. Each task assigned would include +10k items to analyze and labelling would range from 5-10 different entities.

The project consisted on multiple tasks to classify different search terms based on the guidelines provided. Each task assigned would include +10k items to analyze and labelling would range from 5-10 different entities.

2013 - 2019

Education

F

Fundación Educativa 'Pago de Los Arroyos', Instituto Superior Particular Autorizado Nº 9251

Bachelor's Degree, Literary, Scientific, Technical And Legal Translation

Bachelor's Degree
2004 - 2007
F

Fundación Educativa “Pago de Los Arroyos” Instituto Superior Particular Autorizado Nº 9251

Bachelor’s Degree on Literary, Scientific, Technical and Legal Translation, Translation

Bachelor’s Degree on Literary, Scientific, Technical and Legal Translation
2004 - 2007

Work History

S

Self-employed

Freelance Translator

Rosario
2010 - Present
C

Crafter

Entrepreneur

Rosario
2010 - Present