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Machine Translation Jobs in Florida (NOW HIRING)

... Machine Translator for translating chatbot responses of employees from 10 different languages to English. • Performed lexical normalization for translating/transforming a non-standard corpus to a ...

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The Translation: Interpret complex GD&T blueprints and convert them into flawless machine movements. You will edit G-code at the control to "dial in" the process. * The Refinement: Select, preset ...

Be Seen First

The Translation: Interpret complex GD&T blueprints and convert them into flawless machine movements. You will edit G-code at the control to "dial in" the process. * The Refinement: Select, preset ...

Translation: you're finally paid like a psychiatrist, not a checkbox machine THE LOCATION (this part feels fake, but it's not) * Destin. Yes, Destin. * Emerald water. White sand. * Your "commute ...

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Machine Translation information

See Florida salary details

$11

$15

$19

How much do machine translation jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for machine translation in Florida is $15.11, according to ZipRecruiter salary data. Most workers in this role earn between $13.27 and $17.26 per hour, depending on experience, location, and employer.

What is a Machine Translation job?

A Machine Translation job involves developing, improving, or managing automated translation systems that convert text from one language to another. Professionals in this field work with neural machine translation models, linguistic data, and AI algorithms to enhance translation accuracy. They may also evaluate and post-edit machine-generated translations to ensure quality. Skills in computational linguistics, natural language processing (NLP), and language expertise are often required for this role.

What are the typical responsibilities and daily tasks of someone working in Machine Translation?

Professionals in Machine Translation are commonly responsible for developing, testing, and refining automated translation models and algorithms. On a daily basis, you might work on curating and preprocessing language data, evaluating the performance of translation engines, and implementing improvements based on linguistic analysis and user feedback. Collaboration is frequent with software engineers, data scientists, and linguists to ensure the models are both technically proficient and linguistically accurate. Additionally, you may participate in research to stay updated on emerging techniques, contributing to continuous advancements in translation quality and efficiency.

What are the key skills and qualifications needed to thrive in the Machine Translation position, and why are they important?

To thrive in Machine Translation, you need a strong background in computational linguistics, natural language processing (NLP), machine learning, and fluency in multiple languages, typically supported by a relevant degree or research experience. Familiarity with tools like TensorFlow, PyTorch, translation memory software, and experience with neural machine translation systems are highly valued. Excellent problem-solving skills, attention to detail, and effective collaboration are essential soft skills for this role. These skills are crucial for developing accurate translation models, overcoming linguistic challenges, and working effectively within cross-functional teams.

What are the most commonly searched types of Machine Translation jobs in Florida? The most popular types of Machine Translation jobs in Florida are:
Infographic showing various Machine Translation job openings in Florida as of July 2026, with employment types broken down into 81% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $31,437 per year, or $15.1 per hour.
Data Scientist

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title: Data Scientist
Work Location: Tampa, Florida
Duration: 8+ Months
Job Description:
• Performed Topic Modeling for identifying abstract Topics underlying in the collection of J&J's covid vaccine customer complaints data using various algorithms including LDA, NMF, KMeans, etc.
• Created an API by utilizing Flask and imparted the plan to application group by enablin them to characterize the models.
• Utilized AWS Machine Translator for translating chatbot responses of employees from 10 different languages to English.
• Performed lexical normalization for translating/transforming a non-standard corpus to a standard text form.
• Used text simplification techniques (stopword removal, punctuation removal, lemmatization) for making a text easier to read and understand, while preserving its main ideas and approximate meaning.
• Extracted top keywords for identifying the most relevant terms to describe subject of the obtained intents from model.
• Created Text Summarization pipeline for shortened version of several documents belonging to the identified intents that preserves most of their meaning using cosine similarity an Transformers T5 Base models.
• Tagged entities in text with their corresponding type, typically in BIO notation using Named Entity Recognition techniques including StandcoreNLP, countvectorizer packages.
• Assisted in Entity Linking for the content strategy team by recognizing and disambiguating named entities and designing phrases, intents, and solutions for the knowledge base of J&J chatbot system.
• Predicted Demand for supply shipments of covid vaccines across the globe using supervised learning algorithms with an accuracy of 86%
• Built Phrases Generation pipeline using n-grams, fuzzywuzzy, sentence similarity models for identifying the top common phrases belonging to their corresponding topics.
• Developed Intent Detection tool using traditional NLP methods for capturing the semantics of chatbot transcripts of employees in the payroll division of J&J and assigning them to the correct label.