Open to opportunities

Danielle Costa

@daniellecosta

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Linguistic researcher specializing in natural language processing and annotation.

Brazil

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What I'm looking for

I am looking for opportunities that allow me to apply my linguistic expertise in innovative projects, particularly in AI and NLP, while fostering a collaborative and growth-oriented work environment.

As a dedicated linguistic researcher with a Master’s Degree in Linguistics from the University of São Paulo, I have honed my expertise in natural language processing (NLP) and linguistic data annotation. My academic journey has equipped me with a deep understanding of syntax, semantics, and computational linguistics, culminating in a thesis focused on argument structure in Brazilian Portuguese. I am passionate about applying my knowledge to enhance AI training through precise linguistic analysis.

In my professional experience, I have collaborated on various projects, including conducting linguistic analyses and annotating Brazilian Portuguese corpora. My role as a content editor and proofreader has further refined my skills in morphology, syntax, and phonology, allowing me to adapt educational content for diverse audiences. I am committed to advancing the field of linguistics and its applications in AI and machine learning.

Experience

Work history, roles, and key accomplishments

Data Annotation -Expert Rater Analyst

TELUS International AI Inc

Dec 2024 - Apr 2026 (1 year 4 months)

Evaluated the relevance and quality of Google Ads with a focus on user experience
Performed data annotation and validation for AI projects
Ensured consistency and quality across complex datasets
Analyzed metrics and content to optimize performance and results
Applied detailed guidelines in an international corporate environment

Social Media Ads Evaluation (META)

Mercor

Jan 2025 - Dec 2025 (11 months)

Evaluated audio and video quality in social media ads (Facebook, Instagram, WhatsApp)
Provided prompts and structured feedback to improve content
Ensured user experience and compliance with defined guidelines

Remote

Portuguese STEM

Mercor

Apr 2026 - Apr 2026 (0 months)

Performed data annotation and evaluation of STEM-related content in Portuguese
Ensured accuracy, clarity, and consistency following project guidelines
Supported AI model improvement through structured analysis

Remote

Data Labeling for AI

Alignerr

Jan 2024 - Jan 2026 (2 years)

Labeled and categorized data for AI model training
Applied structured criteria and guidelines to ensure accuracy and consistency

Remote

Education

Degrees, certifications, and relevant coursework

LearnPrompting.org

Certification, Prompt Engineering for Language Models

2024 - 2024

Learned best practices for designing and evaluating Large Language Model prompts.

Coursera

Certification, Linguistic Data Annotation for NLP

2024 - 2024

Completed a course focused on labeling syntax, semantics, and entities for AI training.

University of São Paulo (USP)

Master’s Degree in Linguistics, Linguistics

2022 - 2024

Activities and societies: Member of research group on linguistic variation

Focused on formal syntax, semantics, and computational linguistics. Completed a thesis on argument structure in Brazilian Portuguese and was a member of a research group on linguistic variation.