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Elearning Translation Jobs (NOW HIRING)

... learning process - Orchestrates reusable storytelling methodology to apply toward AI translation ... H-E-B? - Technical knowledge in programming languages: SQL, R, Python, Scala, Java, C/C ...

Maintain existing compliance courses, enter and edit data as needed, and build e-learning content ... Knowledge translation: you can take raw or unstructured information from an SME, engineer, or ...

... translation/localization support, and personalized learning pathways. * Evaluate and pilot emerging AI authoring platforms and tools (e.g., AI-driven voiceover, avatar tools, adaptive learning ...

... translation/localization support, and personalized learning pathways. * Evaluate and pilot emerging AI authoring platforms and tools (e.g., AI-driven voiceover, avatar tools, adaptive learning ...

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Elearning Translation information

What are the key skills and qualifications needed to thrive as an Elearning Translator, and why are they important?

To thrive as an Elearning Translator, you need fluency in at least two languages, strong knowledge of instructional design, and familiarity with elearning content formats, often supported by a degree in translation, linguistics, or a related field. Proficiency with CAT tools (Computer-Assisted Translation), translation management systems, and elearning platforms like Articulate Storyline or Adobe Captivate is typically required. Attention to detail, cultural sensitivity, and strong communication skills help ensure that content is accurate, engaging, and appropriate for diverse audiences. These skills are essential to deliver high-quality, localized elearning experiences that effectively convey learning objectives and support global learners.

What are some common challenges faced by professionals in eLearning translation, and how can they be overcome?

Professionals in eLearning translation often encounter challenges such as maintaining the accuracy of technical terminology, adapting culturally sensitive content, and ensuring consistency across multimedia elements like audio, video, and graphics. Collaborating closely with subject matter experts and native speakers is essential to address these challenges. Leveraging translation memory tools and style guides can also help maintain consistency and streamline workflows. Regular communication with instructional designers and localization teams ensures the final product is both linguistically accurate and culturally appropriate.

What is elearning translation?

Elearning translation is the process of adapting online educational content into different languages to make it accessible to learners worldwide. This involves translating written material, audio, video, and interactive elements while ensuring that the meaning, tone, and cultural relevance are preserved. Effective elearning translation not only involves linguistic accuracy but also localization, which tailors the content to fit the cultural context of the target audience. This helps organizations reach broader audiences and improve learning outcomes for non-native speakers.

What is the difference between Elearning Translation vs Content Localization Specialist?

AspectElearning TranslationContent Localization Specialist
CredentialsTranslation certifications, language proficiencyTranslation and localization certifications, cultural knowledge
Work EnvironmentOnline, remote, educational platformsMultimedia, digital content, websites
Industry UsageEducational, corporate trainingMarketing, media, technology

Elearning Translation focuses on converting educational content into different languages, ensuring clarity and accuracy for learners. Content Localization Specialists adapt various types of digital content for specific markets, considering cultural nuances. While both roles involve translation skills, Elearning Translation is specialized in educational materials, whereas Content Localization covers a broader range of digital content adaptation.

More about Elearning Translation jobs
Infographic showing various Elearning Translation job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 66% Full Time, 7% Part Time, 7% Temporary, and 17% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.
Data Scientist - eCommerce

Data Scientist - eCommerce

HEB

San Antonio, TX โ€ข On-site

Full-time

Posted 15 days ago


Job description

Responsibilities

H-E-B's Corporate Planning and Analysis Team develops and maintains budgets and financial systems while providing current, reliable financial data, analysis, and technical information.
As a Senior Data Scientist, your archetype is a Business Decision Scientist. Your passions include building a framework to stitch cross domains learning and optimizing them toward mission-specific and multi-mission tasks, uncovering ML models causality relationships, creating an enterprise domain-specific reasoning system to boost actionable insights and optimize resources of machine learning process, and orchestrating reusable storytelling methodology to apply toward AI translation.
Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most important resources--People--drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company.
Do you have a:
HEART FOR PEOPLE... willingness to mentor?
HEAD FOR BUSINESS... skills to serve as technical lead to support decision-making for complex cross-functional business issues?
PASSION FOR RESULTS... ability to generate business-valued questions and data-driven solutions?
We are we looking for:
- a creative data storyteller with measurable and predictive business recommendations
What is the work?
Analytics / Design & Development:
- Builds a framework to stitch cross domains learning; optimizes them toward mission-specific and multi-mission tasks
- Serves as expert specializing in AI interpretation and causality; uncovers ML model's causality relationships; builds framework to measure each model's bias, underspecification, and latent drivers with their connections
- Creates an enterprise domain-specific reasoning system to boost actionable insights and optimize the resources of machine learning process
- Orchestrates reusable storytelling methodology to apply toward AI translation
- Applies an inquisitive nature to creating ML / AI transparency to the business
- Applies AI reasoning into business action recommendations
- Applies AI research to accelerate business innovation
What is your background?
- A related degree or comparable formal training, certification, or work experience
- 7+ years of experience in a retail or retail-related decision science role

- Experience translating data science findings into business-friendly results.

- Experience presents findings to leaders and peers.

- Abilitytoย  contribute to multiple work streams concurrently.

- Experience with Clickstream Analytics (BQ/Amplitude)

- Capable of working with visualization tool such as Tableau and Dash, flask, d3, bokeh, streamlit, plotly

- Experience with Text Analytics

- Ability to create end-to-end ML solutions with guidance

- Able to adapt within the teamโ€™s foundational design (Confluence, Jira, Git, IDEโ€™s)

- Open to learning new methodologies and application of ML techniques


- Expertise in ML visualization flow
- Expertise in optimizing distributed machine learning in a heterogeneous domain environment
Do you have what it takes to be a Senior Data Scientist at H-E-B?
- Technical knowledge in programming languages: SQL, R, Python, Scala, Java, C/C++
- Technical knowledge in big data / ML optimization: GPU code optimization, Horovod, Spark MLlib optimization, Cython, JNI, Numba
- Technical knowledge in mainstream ML / AI: manifold learning, distributed clustering, graph network, hierarchical model, Bayesian network, deep learning, computer vision, NLP/NLU, reinforcement learning, meta-Learning, federated learning
- Technical skills to consider and apply causal reasoning representation and learning, and human-centric, explainable, responsible AI
- Ability as a creative storyteller and translator between business questions and ML solutions
- Ability to work comfortably with imperfect or incomplete data
- Ability to apply AI reasoning into business action recommendation
Can you...
- Work in a fast-paced retail environment with frequently shifting priorities
- Work extended hours; sit for long periods
08-2021

Qualifications:UNAVAILABLEEducation:UNAVAILABLEEmployment Type: FULL_TIME