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Remote Translator Jobs in Myrtle Point, OR (NOW HIRING)

Atos

Apps AI Solution Architect AMS

OR · Remote

$59 - $77.75/hr

North America (Remote) Role Summary The Apps AI Architect will play a pivotal role in transforming ... Evaluate, integrate, and optimize AI-assisted tools (e.g., code translators, test generators ...

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Remote Translator information

See Myrtle Point, OR salary details

$11

$24

$38

How much do remote translator jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote translator in Myrtle Point, OR is $24.05, according to ZipRecruiter salary data. Most workers in this role earn between $19.86 and $26.15 per hour, depending on experience, location, and employer.

What Does a Remote Translator Do?

A remote translator converts information from one language to another, working with both written texts, audio files, and live spoken language. As a remote translator, your duties and responsibilities vary depending on your employer or client, from interpreting rental agreements and legal contracts to translating entire books, resources, or live meetings and events. Relying on your language fluency and communication skills, you work from home to interpret documents and translate them as accurately as possible. Some remote translators work over the phone or through video chat systems to provide translation services in real time, such as when working for court systems or in the medical industry.

What are remote translators?

Remote translators are language professionals who work from a location of their choice, often from home, to convert written text from one language to another. They use digital tools and communication platforms to receive assignments, translate documents, and deliver their work electronically. Remote translators may work as freelancers or for translation agencies, often specializing in specific industries such as legal, medical, technical, or literary translation. This role requires strong language proficiency, attention to detail, and the ability to meet deadlines without direct supervision.

What is the difference between Remote Translator vs Remote Interpreter?

AspectRemote TranslatorRemote Interpreter
CredentialsLanguage proficiency, translation certifications (e.g., ATA)Language proficiency, interpretation certifications (e.g., CI, CT)
Work EnvironmentPrimarily written work, flexible hours, home-basedReal-time spoken communication, often scheduled or on-demand
Industry UsagePublishing, localization, legal, medical translationConferences, legal proceedings, medical consultations
Search & Comparison IntentFocus on written translation jobs, freelance opportunitiesFocus on live interpretation, event-based work

Remote Translators mainly handle written language translation, working independently on documents and texts. Remote Interpreters focus on real-time spoken communication, often during live events or meetings. Both roles require language proficiency and relevant certifications, but they differ in work environment and job nature. Understanding these differences helps job seekers find the right remote language role that matches their skills and preferences.

How does a remote translator typically collaborate with clients and project managers to ensure translation accuracy and consistency?

As a remote translator, you’ll frequently communicate with clients and project managers via email, messaging platforms, and specialized translation management systems. Collaboration often involves clarifying terminology, understanding context, and addressing feedback to ensure the translated content meets client expectations. Many remote translators also participate in virtual meetings or use shared glossaries and style guides to maintain consistency across projects. Building strong communication skills and being proactive about asking questions are key to delivering high-quality translations and fostering successful long-term client relationships.

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

To thrive as a Remote Translator, you need advanced proficiency in at least two languages, strong grammar skills, and often a relevant degree or certification in translation or linguistics. Familiarity with computer-assisted translation (CAT) tools, terminology databases, and secure file-sharing systems is typically required. Exceptional attention to detail, time management, and cross-cultural communication skills help you deliver accurate translations and build client trust. These abilities are vital for producing high-quality work efficiently while collaborating remotely with clients and teams.
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What cities near Myrtle Point, OR are hiring for Remote Translator jobs? Cities near Myrtle Point, OR with the most Remote Translator job openings:
Remote Translator jobs near you

Apps AI Solution Architect AMS

Atos

OR • Remote

$59 - $77.75/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

About Atos Group

Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. 8 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.

The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

Apps AI Architect 539988

Location: North America (Remote)

Role Summary

The Apps AI Architect will play a pivotal role in transforming how we design, build, and manage enterprise applications in the GenAI era. This role blends deep application architecture expertise - spanning UI/UX, front-end, back-end, integration, data, and cloud - with hands-on AI engineering skills to infuse Artificial Intelligence (including Generative and Agentic AI) across the full application lifecycle - from design and development to modernization and ongoing operations. The Architect will drive innovation, develop reusable AI patterns, and deliver proof-of-value (PoV) initiatives that convert emerging technology possibilities into tangible business impact.

Key Responsibilities

  • Architect AI-Native Applications: Design and implement architectures that integrate AI models (LLMs, predictive, and agentic systems) into application workflows to enable reasoning, automation, and contextual decision-making.
  • End-to-End Application Design: Lead the design of UI/UX flows, user-facing AI interactions, conversational interfaces, and AI-augmented user journeys across web and mobile applications.
  • Drive Modernization Through AI: Reimagine legacy and digital applications by embedding AI capabilities that enable modernization, optimization, and transformation across app portfolios. Design modernization frameworks leveraging AI for architecture discovery, business-rules extraction, and application rationalization. Embed intelligence in re-platformed or refactored applications to create truly AI-native modernization.
  • Legacy-to-Modern Mapping: Architect solutions that transform legacy applications into modern Java, .NET, microservices, or cloud-native platforms while preserving core business rules and logic.
  • Infuse AI Across Dev & Ops: Partner with delivery and support teams to embed AI in software engineering, testing, incident management, and observability - driving efficiency, resilience, and proactive operations.
  • Tooling & Frameworks: Evaluate, integrate, and optimize AI-assisted tools (e.g., code translators, test generators, documentation bots) within modernization pipelines to accelerate delivery.
  • Integration & Ecosystem: Define strategies to integrate modernized applications into enterprise ecosystems, including APIs, event-driven architectures, and cloud environments.
  • Lead Proofs of Value (PoVs): Design and execute AI-centric PoVs to validate new technologies, tools, and architectures for clients.
  • Collaborate & Evangelize: Partner with pre-sales, delivery, and client stakeholders to identify AI opportunities, shape proposals, and articulate the business value of AI-native transformation.
  • Develop Reusable Assets: Create frameworks, accelerators, and reference architectures to scale adoption of GenAI and LLM-enabled solutions across multiple accounts.

Required Skills & Experience

  • 10-15 years of experience in Application Architecture, Engineering, or Digital Transformation, with at least 2-3 years in AI/ML or GenAI implementation.
  • Strong experience with Azure OpenAI, OpenAI APIs, Vertex AI, AWS Bedrock, LangChain, LlamaIndex, or similar LLM platforms.
  • Deep understanding of modern UI/UX architecture, responsive front-end design, and frameworks such as React, Angular, Vue, or equivalent.
  • Proficiency in Python, Node.js, or Java, with exposure to LLM integration, prompt engineering, and API orchestration.
  • Experience with leading AI-assisted productivity tools such as Claude, Gemini Code Assist, and GitHub Copilot.
  • Familiarity with observability and AIOps platforms including DataDog, Dynatrace, Moogsoft, Splunk AIOps, and ServiceNow AIOps.
  • Hands-on exposure to LLM-based ITSM agents and RAG (Retrieval-Augmented Generation) frameworks.
  • Experience with MLOps/GenAIOps for continuous model improvement within modernization initiatives.
  • Strong background in application modernization (re-platforming, containerization, microservices, and cloud-native design).
  • Solid understanding of legacy technologies such as Mainframe, Java, and .NET.
  • Knowledge of PromptOps, model observability, AI lifecycle management, and related operational frameworks.
  • Excellent communication, stakeholder management, and customer-facing engagement skills.

Preferred Qualifications

  • Certifications in AI Engineering (Azure, AWS, or Google) or equivalent credentials.
  • Prior experience working in Application Services, AMS, or ADM environments.
  • Exposure to agentic workflows, AI observability, or RAG (retrieval-augmented generation) frameworks.
  • The role requires active engagement across the full lifecycle - from pre-sales solution shaping through design, development, implementation, and ongoing evolution of AI-native applications.
  • Given the evolving nature of AI-native architectures, we welcome candidates who may not meet every requirement but demonstrate strong foundational skills and the ability to grow into the role.

Why This Role Matters

This role is central to our AI-Native Application Services transformation. The Apps AI Architect will directly shape how enterprise applications evolve - blending the power of AI, data, and cloud to create intelligent, adaptive, and self-improving systems that redefine how our clients build, run, and scale their businesses.

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