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Remote Language Jobs in Memphis, TN (NOW HIRING)

Nextech

Job 5144: AI Platform Engineer II

Memphis, TN · On-site +1

Memphis, TN (Remote candidates may be considered if a qualified local candidate is not available ... This position offers the opportunity to work on modern AI platforms, large language model (LLM ...

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$31.1K

$42.8K

$49.5K

How much do remote language jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote language in Memphis, TN is $42,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,400.00 and $48,600.00 per year, depending on experience, location, and employer.

What is a remote language?

A Remote Language job involves working from a location outside of a traditional office while using language skills for tasks such as translation, interpretation, teaching, content creation, or customer support. These roles often require fluency in one or more languages and can be found in industries like education, technology, healthcare, and customer service. Many remote language jobs offer flexible schedules and the ability to work with international clients or companies.

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

To thrive as a Remote Language Specialist, you need fluency in at least one foreign language, strong written and verbal communication skills, and a relevant degree or language certification. Familiarity with translation and interpretation tools, CAT software, and collaboration platforms is often required. Outstanding time management, self-motivation, and cross-cultural sensitivity help set top performers apart. These skills ensure accurate communication, efficient remote teamwork, and high-quality language services to clients globally.

What are some common challenges encountered in remote language roles and how can they be managed?

Remote language professionals often face challenges such as managing time zones with international clients, balancing multiple projects, and maintaining clear communication without in-person interaction. Staying organized with project management tools and maintaining regular check-ins with team members can help address these issues. Additionally, setting clear expectations regarding deadlines and availability is essential for smooth workflow. Adapting to different cultural norms and client preferences is also a common aspect of the job, but it offers valuable opportunities for personal and professional growth. Overall, being proactive and communicative are key strategies for overcoming the unique challenges of remote language work.

What are popular job titles related to Remote Language jobs in Memphis, TN?

For Remote Language jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Remote Language jobs in Memphis, TN look for?

The top searched job categories for Remote Language jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for Remote Language jobs?

Cities near Memphis, TN with the most Remote Language job openings:

Remote Language jobs near you

Job 5144: AI Platform Engineer II

Nextech

Memphis, TN • On-site, Remote

Contractor

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

Job description

Job Title: AI Platform Engineer II

Location: Memphis, TN (Remote candidates may be considered if a qualified local candidate is not available)

Overview

We are seeking an experienced AI Platform Engineer II to help design, develop, and deliver enterprise AI solutions. This position offers the opportunity to work on modern AI platforms, large language model (LLM) technologies, cloud infrastructure, and AI-powered applications that support business innovation.

The ideal candidate has a strong foundation in either AI platform engineering or AI application development, enjoys solving complex technical challenges, and is passionate about building secure, scalable, and production-ready AI solutions. This role includes ownership of technical deliverables, collaboration across engineering and business teams, and mentoring junior engineers.

Key Responsibilities

  • Design, develop, and maintain AI platforms, backend services, and AI-powered applications
  • Build and enhance LLM gateways, retrieval-augmented generation (RAG) solutions, or other AI-driven systems
  • Develop APIs, automation, and data integration services to support scalable AI platforms
  • Integrate AI solutions with enterprise applications and data sources
  • Implement secure, reliable, and observable AI systems through logging, monitoring, and governance practices
  • Build and deploy applications using modern DevOps practices, CI/CD pipelines, Docker, and Kubernetes
  • Collaborate with product owners, business stakeholders, and engineering teams to translate requirements into technical solutions
  • Participate in Agile/Scrum development processes
  • Mentor junior engineers through technical guidance, code reviews, and knowledge sharing
  • Continuously evaluate new technologies and contribute to the evolution of AI engineering best practices

Required Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Cloud Engineering, Infrastructure Engineering, or a related field, or equivalent professional experience
  • 5+ years of experience in software engineering, cloud engineering, infrastructure engineering, or a related technical discipline
  • Strong experience in either AI infrastructure engineering or AI application development
  • Experience developing backend applications, APIs, or AI-powered applications
  • Hands-on experience with one or more modern programming languages such as Python, Java, or TypeScript
  • Experience working with cloud platforms or modern AI development frameworks
  • Strong understanding of API development, system integration, and scalable application design
  • Experience working within Agile development environments
  • Excellent analytical, communication, and collaboration skills
  • Ability to independently own features from design through deployment

Preferred Qualifications

  • Experience with retrieval-augmented generation (RAG), vector databases, embedding models, or LLM-based applications
  • Familiarity with AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar technologies
  • Experience with Docker, Kubernetes, and CI/CD pipelines
  • Knowledge of enterprise security, governance, and compliance practices
  • Experience with monitoring and observability platforms
  • Experience building production AI assistants, chatbots, or intelligent automation solutions
  • Previous experience mentoring junior engineers or reviewing technical work

How to Apply

If you're interested in building scalable, enterprise-grade AI solutions and working with modern AI technologies, we'd love to hear from you. Please submit your resume for confidential consideration. Qualified candidates will be contacted to discuss the opportunity in greater detail.