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Manager Ai Translator Jobs (NOW HIRING)

Milacron

AI Translator

Batavia, OH · On-site

The AI Translator acts as the primary liaison between the business unit and the Central AI / Data ... Proven change management and organizational adoption experience with a focus on influencing ...

Prisma International, Inc.

TRANSLATOR - LEGAL

Seattle, WA

$50K - $65K/yr

Machine/AI translation is strictly prohibited. * Adhere to all project work instructions ... Willfully participate in quality management processes, e.g. Corrective Action Reports (CARs), Root ...

Prisma International, Inc.

TRANSLATOR - LEGAL

Portland, OR · Remote

$45K - $58K/yr

Machine/AI translation is strictly prohibited. * Adhere to all project work instructions ... Willfully participate in quality management processes, e.g. Corrective Action Reports (CARs), Root ...

Prisma International, Inc.

TRANSLATOR - LEGAL

Minneapolis, MN · On-site +1

$45K - $60K/yr

Machine/AI translation is strictly prohibited. * Adhere to all project work instructions ... Willfully participate in quality management processes, e.g. Corrective Action Reports (CARs), Root ...

Prisma International, Inc.

TRANSLATOR - LEGAL

Seattle, WA · Remote

$45K - $58K/yr

Machine/AI translation is strictly prohibited. * Adhere to all project work instructions ... Willfully participate in quality management processes, e.g. Corrective Action Reports (CARs), Root ...

Prisma International, Inc.

TRANSLATOR - LEGAL

San Diego, CA · Remote

$45K - $58K/yr

Machine/AI translation is strictly prohibited. * Adhere to all project work instructions ... Willfully participate in quality management processes, e.g. Corrective Action Reports (CARs), Root ...

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How much do manager ai translator jobs pay per hour?

As of Sep 13, 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 are the key skills and qualifications needed to thrive as a Manager AI Translator?

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.

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 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.

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Manager Ai Translator jobs near you
Infographic showing various Manager Ai Translator job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $53,349 per year, or $25.6 per hour.

AI Translator

Batavia, OH • On-site

Milacron
Machinery Manufacturing • 5 - 10K employees
Learn more about Milacronexternal

Full-time

Re-posted 22 days ago

Milacron rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

Milacron is looking for an AI Translator to join our team in Batavia, Ohio. In this position, you will be responsible for serving as the business-facing AI leader for an assigned business unit, translating operational challenges into AI-enabled solutions, driving user adoption, and delivering measurable business outcomes through Milacron's enterprise AI platform. The AI Translator acts as the primary liaison between the business unit and the Central AI / Data Center of Excellence (CoE), ensuring successful implementation, value realization, and sustainable ownership of AI capabilities.
Work You'll Do:
  • Identify, prioritize, and translate business challenges into structured AI use cases aligned with business unit and enterprise objectives.
  • Serve as the primary liaison between business stakeholders and the Central AI / Data CoE to ensure solutions address operational needs and deliver measurable business value.
  • Develop business cases, define success metrics, and lead ROI measurement for AI initiatives from concept through deployment.
  • Drive AI adoption through stakeholder engagement, training, coaching, communication, and change management activities that embed AI into daily operations.
  • Maintain deep expertise in assigned business unit processes, KPIs, systems, and data sources to identify opportunities for optimization, automation, and growth.
  • Own accountability for AI-related business outcomes, including productivity improvements, cost reductions, revenue growth, cycle-time reduction, quality enhancements, and working-capital gains.
  • Collaborate with AI engineers, data scientists, platform teams, IT organizations, and external partners to define requirements, prioritize initiatives, and validate solution effectiveness.
  • Ensure AI solutions comply with governance standards, responsible AI principles, data privacy requirements, and model risk management practices.
  • Lead pilot deployments, coordinate cross-functional execution, and facilitate transition of capabilities from external vendors and system integrators to internal business teams.
  • Monitor solution performance, user adoption, and business impact, recommending continuous improvements and expansion opportunities.
  • Represent the assigned business unit in enterprise AI governance forums and contribute to enterprise-wide AI roadmaps, standards, and best practices.
  • Travel domestically and internationally, as required, to support implementation efforts, observe operational workflows, and drive organizational adoption.
  • Perform other AI-related activities as assigned by the Senior Director, AI & Engineering or Operating Leadership Team.

Qualifications
  • Bachelor's degree in Business, Engineering, Operations Management, Information Systems, Analytics, Computer Science, or a related field.
  • 7+ years of progressive experience in manufacturing, industrial operations, supply chain, commercial operations, engineering, finance, or other business leadership functions.
  • Demonstrated success driving measurable business outcomes through process improvement, digital transformation, operational excellence, or technology-enabled initiatives.
  • Proven experience owning KPIs tied to revenue, margin, cost reduction, productivity, service levels, or working-capital performance.
  • Strong understanding of AI, machine learning, generative AI, automation technologies, and modern data platforms sufficient to evaluate opportunities and engage effectively with technical teams.
  • Experience leading cross-functional projects involving business and technical stakeholders.
  • Proven change management and organizational adoption experience with a focus on influencing behavior and driving sustained business results.
  • Excellent communication, facilitation, and presentation skills with the ability to translate complex technical concepts into practical business decisions.
  • Proficiency with Microsoft 365, Power BI, Salesforce (SFDC), and other enterprise business systems.
  • Ability to work effectively in a global, matrixed organization and influence stakeholders without direct authority.
  • Master's degree in Business Administration (MBA), Engineering, Analytics, Data Science, or a related discipline preferred.
  • Experience implementing AI, advanced analytics, automation, or digital transformation initiatives within industrial or manufacturing environments preferred.
  • Experience working alongside system integrators, consulting firms, or technology partners and successfully transitioning solutions to internal ownership preferred.
  • Plastics processing, capital equipment manufacturing, aftermarket service, or industrial machinery industry experience preferred.
  • Experience with Palantir Foundry, Ontology, or comparable enterprise AI platforms preferred.
  • Training or certification in Change Management, Lean, Six Sigma, Project Management, or related disciplines preferred.
  • Experience supporting responsible AI governance, data management, or enterprise technology strategy initiatives preferred.
  • ML engineering, data science, or PhD-level technical expertise is not required and does not substitute for business operating experience.

#LI-ONSITE #LI-DM1
Who we are:
Milacron is a global leader in the manufacture, distribution and service of highly engineered and customized systems within the $27 billion plastic technology and processing industry. We are the only global company with a full-line product portfolio that includes hot runner systems, injection molding, extrusion equipment. We maintain strong market positions across these products, as well as leading positions in process control systems, mold bases and components, maintenance, repair and operating ("MRO") supplies for plastic processing equipment. Our strategy is to deliver highly customized equipment, components and service to our customers throughout the lifecycle of their plastic processing technology systems.
EEO:
The policy of Milacron is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. We are committed to being an Equal Employment Opportunity (EEO) Employer and offer opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at recruitingaccommodations@milacron.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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