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From Home Machine Translation Jobs (NOW HIRING)

Geisinger Health

Medical Translator

Danville, PA · On-site +1

$50K - $65K/yr

Work from home (Pennsylvania) Shift: Days (United States of America) Scheduled Weekly Hours: 40 ... Working within the Digital Transformation Office's Translation Center of Excellence, this ...

Beyond SOF

$180K/yr

... from an accredited college or university with a minimum of 15 years of general systems engineering ... machine translation) or other areas of Artificial Intelligence (AI) or Machine Learning (ML). A ...

Dow Jones

The successful candidate will assess the translation from English to Dutch of Dow Jones Newswires ... Experience with using machine translation and GenAI * Broad understanding of financial concepts ...

Acolad

Account Manager - Life Sciences

Hudson, WI · On-site

Exposure to or strong interest in AI technologies, such as machine translation, generative AI, or ... As an equal opportunity employer, we welcome and consider applications from all qualified ...

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From Home Machine Translation information

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How much do from home machine translation jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for from home machine translation in the United States is $27.65, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $29.81 per hour, depending on experience, location, and employer.

What is the difference between From Home Machine Translation vs From Home Localization Specialist?

AspectFrom Home Machine TranslationFrom Home Localization Specialist
CredentialsLanguage proficiency, basic translation toolsLanguage skills, cultural knowledge, localization tools
Work EnvironmentRemote, computer-basedRemote, often collaborative with teams
Industry UsageTech, AI, translation servicesMedia, software, gaming, global marketing
Search & Comparison IntentUnderstanding automation in translationUnderstanding cultural adaptation in localization

From Home Machine Translation involves using automated tools to translate text remotely, focusing on speed and efficiency. In contrast, From Home Localization Specialists adapt content culturally and linguistically for specific markets, requiring more nuanced skills. Both roles are remote and industry-related but differ in complexity and focus.

What are the key skills and qualifications needed to thrive as a Work-From-Home Machine Translation Specialist, and why are they important?

To thrive as a Work-From-Home Machine Translation Specialist, you need strong linguistic proficiency in at least two languages, a background in translation or linguistics, and familiarity with machine translation processes. Proficiency with computer-assisted translation (CAT) tools, machine translation engines, and quality assurance platforms is typically required. Attention to detail, time management, and effective communication are critical soft skills for ensuring translation accuracy and collaborating with remote teams. These skills and tools are essential to deliver high-quality, culturally appropriate translations efficiently in a remote environment.

What are 'From Home Machine Translation' jobs?

From Home Machine Translation jobs involve translating text, documents, or other materials from one language to another using specialized software, often with the help of artificial intelligence. People in these roles typically work remotely, utilizing machine translation tools to speed up the translation process and then reviewing or editing the output for accuracy and fluency. These jobs require strong language proficiency, attention to detail, and comfort with technology. They are popular among freelancers and those seeking flexible, remote work opportunities.

How much do Netflix translators get paid?

Netflix translators typically earn between $0.08 and $0.20 per word translated, depending on experience, language pair, and project complexity. Compensation can also include flat rates for specific tasks or projects, and many work as freelancers or contractors with flexible schedules.

Can I work as a translator from home?

Yes, many translator roles, including those in machine translation, can be performed from home. These jobs typically require strong language skills, familiarity with translation tools, and a reliable internet connection, allowing for flexible remote work arrangements.

What are some common challenges faced when working remotely as a machine translation specialist and how can they be overcome?

Working from home as a machine translation specialist often involves managing time effectively, staying self-motivated, and maintaining clear communication with remote teams. Since projects can require quick turnarounds and precise attention to linguistic detail, it's important to set up a distraction-free workspace and establish a consistent workflow. Regular check-ins with project managers and utilizing collaboration tools can help ensure that quality standards are met and deadlines are achieved. Staying updated with the latest translation technologies and best practices through online forums or webinars can further enhance productivity and job satisfaction.

Is AI replacing translator jobs?

AI is transforming the field of translation, with machine translation tools like neural networks assisting human translators. While AI can handle basic and large-volume tasks efficiently, professional translators are still needed for nuanced, context-sensitive, and high-quality translations. The role of human translators remains important, especially for specialized or culturally sensitive content.

How much do at-home translators make?

At-home machine translation translators typically earn between $10 and $30 per hour, depending on experience, language pairs, and the complexity of the content. Many work as freelancers, setting their own rates, and may supplement income through multiple projects or specialized skills in translation tools and software.
More about From Home Machine Translation jobs
What cities are hiring for From Home Machine Translation jobs? Cities with the most From Home Machine Translation job openings:
What are the most commonly searched types of Machine Translation jobs? The most popular types of Machine Translation jobs are:
What states have the most From Home Machine Translation jobs? States with the most job openings for From Home Machine Translation jobs include:
What job categories do people searching From Home Machine Translation jobs look for? The top searched job categories for From Home Machine Translation jobs are:
From Home Machine Translation jobs near you
Infographic showing various From Home Machine Translation job openings in the United States as of June 2026, with employment types broken down into 6% Locum Tenens, 9% As Needed, 70% Full Time, 9% Part Time, 3% Contract, and 3% Nights. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $57,505 per year, or $27.6 per hour.
Android Application Engineer

Android Application Engineer

LILT, Inc

Indianapolis, IN • On-site

Full-time

Posted 16 days ago

Job description

About LILT
AI is changing how the world communicates - and LILT is leading that transformation.
We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.
At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues-Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1-guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we're building a category-defining company in a $50B+ global translation market being redefined by AI.
LILT is looking for an Android Application Engineer to join the team building LILT Converse, our on-device instant translation application. Converse enables secure, real-time speech translation without an internet connection - making it the go-to solution for government, defense, and enterprise teams operating in communication-sensitive or connectivity-constrained environments. You will work at the intersection of cutting-edge on-device AI and polished mobile UX, building software that runs large multilingual speech models directly on Android hardware leveraging Qualcomm Snapdragon AI acceleration. This is a high-impact role on a product that is moving quickly.
As the Android engineer on Converse, you will own the Android application end-to-end - from architecture and on-device ML integration through performance tuning, release, and reliability in the field - working closely with ML, product, and design on a small senior team. You will architect new features, integrate on-device ML models, optimize performance, manage large local model assets, and ensure rock-solid reliability in the field. You will ship capabilities like multilateral translation (simultaneous 3+ language conversations), utterance management, kiosk deployment modes, and enterprise configuration. You will be comfortable reasoning about hardware constraints, APK packaging, sideloading workflows, and the tradeoffs of running multi-gigabyte inference workloads on mobile SoCs.
We are looking for someone who thrives in a fast-moving startup environment and takes pride in shipping software that works in the real world under demanding conditions.
WHAT WE'RE LOOKING FOR
Required
  • 4+ years of professional Android development (Kotlin), with a track record of owning a production Android app end-to-end - architecture, implementation, release, and field reliability
  • Strong Android fundamentals: Android SDK, Jetpack, lifecycle, background work, and storage APIs
  • Experience integrating native libraries via NDK/JNI (ML runtimes, audio engines, or similar)
  • Comfort optimizing performance on physical devices - memory, latency, thermal behavior under sustained workloads
  • Experience with offline-first applications and large on-device assets (multi-GB model files, packaging, sideloading)
  • Real-time audio on Android: microphone capture, TTS/speaker output, and low-latency audio pipelines (including USB microphone support)
  • On-device speech pipeline integration: wiring ASR → translation → TTS, handling streaming partial results, and managing turn-taking in a live conversation UI
  • Enterprise deployment familiarity: sideloading, MDM/kiosk modes, pre-provisioned device configuration
  • Bias toward shipping reliable software in demanding, real-world conditions

Strong plus
  • On-device ML runtime integration (ONNX Runtime, TensorFlow Lite, or Qualcomm QNN / Snapdragon NPU acceleration)
  • External display / kiosk UX (HDMI output, presentation layers, broadcast-style overlays)
  • Secure data handling: encrypted export, USB storage workflows, air-gapped or connectivity-constrained environments
  • Prior work with government, defense, or enterprise customers

Bonus
  • Deep speech/audio domain expertise beyond app integration - e.g. tuning latency/quality tradeoffs, noise handling and audio preprocessing, model quantization on mobile SoCs, or direct work with speech model runtimes
  • iOS / Swift experience
  • CI/CD with hardware-in-the-loop testing on physical devices

Our Story
Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn't used for enterprise products and services inside the company.The quality just wasn't there. So they set out to build something better. LILT was born.
LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn't meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.
With AI innovation accelerating and enterprise demand growing, the next phase of LILT's journey is just beginning.
Our Tech
What sets our platform apart:
  • Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent
  • Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing
  • 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation
  • Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review
LILT in the News
  • Featured in The Software Report's Top 100 Software Companies!
  • LILT makes it onto the Inc. 5000 List.
  • LILT's continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.
  • Check out all our news on our website.

Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual's race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

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