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Assistant Ai Translator Jobs (NOW HIRING)

Axle

Associate Director of AI and Data

Rockville, MD · On-site

Dependent Care Assistant Program (DCAP) * Transportation Reimbursement Account (TRN) Axle is ... Translational Science De-risking: Oversee the development of predictive models for translational ...

Axle

Associate Director of AI and Data

Rockville, MD · On-site

Dependent Care Assistant Program (DCAP) * Transportation Reimbursement Account (TRN) Axle is ... Translational Science De-risking: Oversee the development of predictive models for translational ...

ZIO Technologies

AI ML Software Engineer

Annapolis, MD · On-site +1

$113K - $136K/yr

Building LLM agents for knowledge retrieval, deep research, translation, transcription, redaction ... * Assist in the design and implementation of testing and evaluation pipelines for AI/ML systems

Navex Global, Inc.

Translation Specialist

Charlotte, NC · On-site

$22/hr

Collaborate with leadership by communicating feedback opportunities * Assist with special projects ... AI Readiness. Curiosity and willingness to use AI and emerging technologies to elevate your work ...

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Assistant Ai Translator information

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$27.5K

$57.2K

$87.5K

How much do assistant ai translator jobs pay per year?

As of Jun 9, 2026, the average yearly pay for assistant ai translator in the United States is $57,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $57,500.00 per year, depending on experience, location, and employer.

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

To thrive as an Assistant AI Translator, you need strong bilingual or multilingual proficiency, a solid grasp of grammar and syntax, and a background in linguistics or translation studies. Familiarity with computer-assisted translation (CAT) tools, AI language models, and terminology management systems is typically required. Attention to detail, cultural sensitivity, and effective communication are crucial soft skills in this role. These competencies ensure accurate, contextually appropriate translations and efficient collaboration with both AI systems and human teams.

What are some common challenges faced by Assistant AI Translators when working with multiple languages and dialects?

Assistant AI Translators often encounter challenges such as accurately capturing context-specific meanings, idioms, and cultural nuances, especially when working with languages that have multiple dialects or regional variations. Maintaining consistency in terminology and style across large translation projects can also be demanding. Additionally, collaborating with linguists, editors, and technical teams is crucial to ensure translations meet quality standards and are contextually appropriate for the target audience.

What are Assistant AI Translators?

Assistant AI Translators are professionals who use artificial intelligence tools to translate text, speech, or other content from one language to another. They work with machine translation technologies to improve translation quality, ensure accuracy, and adapt translations for cultural relevance. Their responsibilities may include reviewing AI-generated translations, editing for clarity and correctness, and collaborating with developers to enhance translation models. These roles are increasingly important as businesses and organizations seek efficient, high-quality multilingual communication.

What is the difference between Assistant Ai Translator vs Translator?

AspectAssistant Ai TranslatorTranslator
CredentialsLanguage proficiency, familiarity with AI toolsLanguage degrees, certification (e.g., ATA)
Work EnvironmentTech companies, AI development teams, remotePublishing houses, agencies, freelance, office or remote
Industry UsageTech, AI, localization projectsPublishing, legal, medical, general translation
Search/Comparison IntentUnderstanding AI-assisted roles vs traditional translationTraditional translation roles and certifications

Assistant Ai Translators focus on leveraging AI tools to assist in translation tasks, often working alongside AI software and in tech environments. Translators typically perform manual translation, requiring formal language certifications and experience. Both roles require language skills, but Assistant Ai Translators emphasize familiarity with AI technology, while Translators focus on linguistic expertise and certification.

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What states have the most Assistant Ai Translator jobs? States with the most job openings for Assistant Ai Translator jobs include:
What job categories do people searching Assistant Ai Translator jobs look for? The top searched job categories for Assistant Ai Translator jobs are:
Assistant Ai Translator jobs near you

AI/ML Software Engineer

INFT Solutions Inc

Annapolis, MD • Hybrid

Contractor

Posted 18 days ago

Job description

Job Title: AI/ML Software Engineer-K23-0094-25L-17

Location- Annapolis, MD

Position Overview

We are seeking an experienced AI/ML Software Engineer to design, develop, and deploy intelligent software systems that leverage Artificial Intelligence (AI) and Machine Learning (ML) to automate business processes, improve user experiences, and support data-driven operations.

The ideal candidate will possess strong expertise in Python development, LLM integration, retrieval-augmented generation (RAG), chatbot development, workflow automation, and AI model deployment within a hybrid cloud environment.

This role supports the creation of production-grade AI systems including:

  • Internal AI assistants
  • External chatbots
  • Intelligent automation workflows
  • Knowledge retrieval systems
  • Translation and transcription engines
  • Redaction tools
  • Document analysis and generation platforms

Key Responsibilities

1. AI/ML Solution Design

  • Design and develop AI-enabled applications to automate narrowly defined tasks.
  • Architect solutions using LLMs, embeddings, and vector search.
  • Select optimal AI and non-AI approaches based on business needs.
  • Collaborate with stakeholders to define workflows and system architecture.

2. Chatbot & Agent Development

  • Build and improve internal AI chatbots for employee support.
  • Develop external conversational bots for public-facing services.
  • Implement agent-based systems for:
    • Knowledge retrieval
    • Research
    • Document generation
    • Data extraction

3. RAG & Knowledge Retrieval

  • Build retrieval-augmented generation (RAG) systems.
  • Improve vector search relevance using:
    • embeddings
    • reranking
    • graph retrieval
  • Integrate knowledge retrieval with case management systems.

4. Workflow Automation

  • Develop AI-powered RPA workflows
  • Automate reporting pipelines
  • Improve manual operational tasks using AI agents

5. NLP & Document Intelligence

  • Build systems for:
    • Translation
    • Transcription
    • Redaction
    • Document analysis
    • PDF generation
  • Apply NLP techniques for extracting structured data from unstructured documents.

6. Testing & Evaluation

  • Build evaluation pipelines for AI workflows.
  • Develop:
    • Unit tests
    • Integration tests
    • Synthetic datasets
  • Improve:
    • Accuracy
    • Latency
    • Cost efficiency

7. Deployment & DevOps

  • Deploy AI applications in hybrid cloud environments
  • Manage Docker containers
  • Optimize performance in limited GPU environments
  • Support production deployments and updates

Required Qualifications

  • Bachelor’s degree in:
    • Computer Science
    • Data Science
    • Engineering
    • Mathematics
    • Related discipline
  • Minimum 3 years of AI/ML or data science experience
  • Minimum 3 years of software engineering experience

Required Technical Skills

  • Python
  • SQL / PostgreSQL
  • Docker
  • Git
  • REST APIs
  • Vector Databases
  • Embeddings
  • RAG Pipelines
  • Prompt Engineering
  • LLM Deployment

Preferred Skills

  • Neo4j / Graph databases
  • Fine-tuning LLMs
  • Synthetic data generation
  • Hybrid cloud architecture
  • React
  • Microsoft Teams Toolkit
  • Rust or performance-oriented languages

Soft Skills

  • Strong problem solving
  • Systems thinking
  • Collaboration
  • Technical documentation
  • Agile teamwork
  • Ability to work in constrained environments

Work Environment

  • Remote with occasional onsite support
  • Standard business hours (EST)
  • Hybrid cloud infrastructure
  • Cross-functional collaboration