Model Response Comparison
Compare two model responses (A and B) to the same prompt and decide which one is better.
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I have extensive experience working on data labeling and linguistic training tasks for major AI platforms, including Appen, OneForma, Outlier, Clickworker, and Neevo. My work spans multilingual annotation (EN ↔ ES), text quality evaluation, transcription, and audio validation. I’m highly skilled at interpreting complex guidelines, maintaining accuracy across large volumes of microtasks, and delivering consistent, high-quality annotations for NLP and ASR datasets. In addition, I have contributed to advanced AI training workflows such as RLHF (ranking and evaluating LLM outputs), MTPE (machine translation post-editing), and multilingual dataset creation for speech recognition. My background as a professional translator enhances my linguistic precision and allows me to handle nuanced language tasks with ease. I bring strong attention to detail, adaptability across platforms, and a proven ability to work efficiently in fast-paced, quality-driven projects.
Compare two model responses (A and B) to the same prompt and decide which one is better.
Listen to the audio and ensure the text matches exactly what is spoken, while applying specific formatting rules for numbers, currency, and time.
Listen to the two audio clips presented. Select your preference from the options. Ignore factors like audio quality, and assess only how natural (or human-like) they sound.
Translate a text consisting of multiple sentences spread over several paragraphs. They have context previous and following the given text.
Rate each text segment or sentence, and then check each sentence from the source, as well as identify and highlight the corresponding target span.
Degree in English-Spanish Translation, English-Spanish Translation
Professor of Spanish Language and Literature, Spanish Language and Literature
Court Employee
Translator