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Manager Ai Translator Jobs (NOW HIRING)

... deploy, and manage LLM-based systems, including: - Internal knowledge assistants (product ... AI translator, connecting business needs with technical execution and ensuring leaders understand ...

$34K - $44K/yr

Architect and maintain comprehensive glossaries that anchor our AI in accurate financial and ... Technical proficiency with CAT tools , specifically in building, importing, and managing complex ...

The Senior Manager, AI Agents and Platform will lead end-to-end development for the AI platform and ... technical translator between engineering and the broader organization, establishing AI best ...

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Manager Ai Translator information

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How much do manager ai translator jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for manager ai translator in the United States is $25.65, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $27.88 per hour, depending on experience, location, and employer.

What is a Manager AI Translator?

A Manager AI Translator is a professional who oversees the integration and management of AI-powered translation tools within an organization. They are responsible for ensuring that machine translation systems function effectively, meet quality standards, and align with business goals. Their role often includes coordinating between technical teams, linguists, and stakeholders to optimize translation workflows and address any issues that arise. Additionally, they may analyze translation data, implement process improvements, and stay updated on advances in AI translation technology.

What is the highest paying translator job?

The highest paying translator jobs are often in specialized fields such as legal, medical, or technical translation, especially for rare or in-demand languages. Senior translators with extensive experience, certifications, and proficiency in CAT tools can earn six-figure salaries, particularly in freelance or consulting roles for large organizations.

How does a Manager AI Translator typically collaborate with cross-functional teams to ensure accurate and contextually relevant translations?

A Manager AI Translator frequently works alongside software engineers, linguists, and product managers to oversee the integration of AI translation tools and ensure linguistic accuracy. They coordinate regular meetings to review translation outputs, discuss context-specific challenges, and address feedback from quality assurance teams. This collaborative approach helps identify nuances, cultural references, and technical jargon that may not be captured by automated systems, ensuring the final translation meets both technical and user expectations.

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

To thrive as a Manager AI Translator, you need a strong background in linguistics, natural language processing (NLP), and team leadership, usually supported by a relevant degree and experience in translation technologies. Familiarity with AI translation tools such as Google Translate API, DeepL, CAT tools, and data annotation platforms is typically required, along with knowledge of project management systems. Exceptional communication, problem-solving, and cross-cultural sensitivity are vital soft skills for coordinating teams and ensuring translation accuracy. These abilities are crucial for delivering high-quality multilingual content and leading teams in a rapidly evolving technological landscape.

What is the difference between Manager Ai Translator vs Data Scientist?

AspectManager Ai TranslatorData Scientist
Required CredentialsBachelor's degree in AI, linguistics, or related field; experience in translation and AI toolsBachelor's or master's in data science, statistics, or computer science; programming skills
Work EnvironmentCollaborative teams, AI development projects, translation platformsData analysis, modeling, coding, research environments
Industry UsageTech companies, AI translation services, multinational corporationsTech, finance, healthcare, research institutions

The Manager Ai Translator focuses on overseeing AI-driven translation projects, combining linguistic expertise with AI tools. In contrast, a Data Scientist analyzes data to develop models and insights. Both roles require technical skills, but their core functions and industry applications differ significantly.

Is AI replacing translator jobs?

AI translator tools are increasingly used to assist human translators by providing quick and cost-effective translations, but they do not fully replace the need for skilled human translators, especially for nuanced or complex content. Translator jobs continue to evolve, with professionals focusing more on editing, cultural adaptation, and specialized translation tasks that require human judgment and expertise.

Which 3 jobs will survive AI?

For a Manager AI Translator, roles that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as strategic management, client relationship management, and training or overseeing AI systems. These jobs involve nuanced decision-making and interpersonal skills that AI cannot fully replicate. Continuous learning and certification in AI tools can help maintain relevance in this evolving field.

Do AI translators work well?

AI translators, including those in roles like AI translation managers, have improved significantly with advances in machine learning and natural language processing, enabling faster and more accurate translations for many languages. However, they may still struggle with context, idiomatic expressions, and cultural nuances, often requiring human oversight for high-quality results. Success in this role depends on technical skills, language proficiency, and understanding of AI tools and algorithms.
What cities are hiring for Manager Ai Translator jobs? Cities with the most Manager Ai Translator job openings:
What are the most commonly searched types of Ai Translator jobs? The most popular types of Ai Translator jobs are:
What states have the most Manager Ai Translator jobs? States with the most job openings for Manager Ai Translator jobs include:

AI Project Manager

Purple Drive Technologies

Woodland Hills, CA • On-site

Full-time

Posted 2 days ago


Job description

Overview:
AI Project Manager (AI/ML Delivery | Agile | Enterprise Programs)
Job Summary
We are seeking an experienced AI Project Manager to lead and deliver AI and AI-integrated projects from initiation to deployment.
The ideal candidate will have strong experience managing AI/ML projects, working closely with data scientists, AI engineers, and business stakeholders, and ensuring successful delivery aligned with business goals.
Key Responsibilities
End-to-End AI Project Delivery
  • Manage full lifecycle of AI projects:
    • Initiation → Planning → Execution → Deployment → Closure
  • Ensure delivery within:
    • Scope, timeline, and budget
Project Planning & Execution
  • Define:
    • Project scope
    • Timelines
    • Milestones
    • Deliverables
  • Manage:
    • Multiple workstreams across AI initiatives
Stakeholder Management
  • Collaborate with:
    • Data Scientists
    • AI/ML Engineers
    • Architects
    • Business stakeholders
  • Act as:
    • Primary point of contact for project communication
Risk & Issue Management
  • Identify:
    • Risks, dependencies, and blockers
  • Develop:
    • Mitigation strategies
  • Track and resolve issues proactively
AI Solution Alignment
  • Ensure alignment between:
    • Business requirements
    • AI/ML technical solutions
  • Support translation of:
    • Business needs → Technical execution
Monitoring & Reporting
  • Track:
    • Project progress
    • KPIs and deliverables
  • Provide:
    • Regular status updates to stakeholders
Quality & Governance
  • Ensure adherence to:
    • Quality standards
    • Compliance requirements
    • Governance frameworks
Agile Delivery
  • Work within:
    • Agile / Scrum / Hybrid models
  • Facilitate:
    • Sprint planning
    • Stand-ups
    • Reviews
• Required Skills
Project Management
  • End-to-end project delivery
  • Stakeholder management
  • Risk & issue management
AI/ML Understanding
  • Knowledge of:
    • AI/ML lifecycle
    • Model development & deployment
  • Experience managing:
    • AI/ML or data-driven projects
Tools & Methodologies
  • Agile / Scrum
  • Project management tools (Jira, etc.)
Soft Skills
  • Strong communication
  • Leadership and coordination
  • Analytical and problem-solving skills
Experience Required
  • 6-10+ years of experience in:
    • Project Management / Delivery roles
  • Proven experience in:
    • AI / ML / Data projects
Preferred Skills
  • PMI-ACP / PMP certification
  • Experience in:
    • Enterprise-scale AI programs
  • Exposure to:
    • Data-driven environments