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Artificial Intelligence Assistant Translator Jobs

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/yr

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and ... Collaborate with the DevOps team to automate build, deployment and testing processes. * Assist in ...

Artificial Intelligence Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Job Overview We are looking to add an experienced Artificial Intelligence (AI) Engineer to our ... Collaborate with the DevOps team to automate build, deployment and testing processes. * Assist in ...

$84K - $101K/yr

... assistants * Implement Natural Language Processing (NLP) and Intelligent OCR solutions for ... Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or related field ...

Showing results 41-60

Artificial Intelligence Assistant Translator information

See salary details

$27.5K

$57.2K

$87.5K

How much do artificial intelligence assistant translator jobs pay per year?

As of Sep 13, 2026, the average yearly pay for artificial intelligence assistant 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 is an artificial intelligence assistant translator?

Artificial Intelligence Assistant Translators are AI-powered tools or software designed to automatically translate text, speech, or images from one language to another. They use advanced machine learning and natural language processing algorithms to understand and convert content quickly and accurately. These tools are often used in business, education, travel, and customer service to bridge language barriers and improve communication. Some popular examples include Google Translate, DeepL, and Microsoft Translator.

What are the key skills and qualifications needed to thrive as an artificial intelligence assistant translator?

To thrive as an Artificial Intelligence Assistant Translator, you need strong linguistic proficiency in at least two languages, a background in translation or linguistics, and familiarity with AI and machine learning concepts. Experience with computer-assisted translation (CAT) tools, neural machine translation systems, and relevant certifications like ATA or CIOL are typically required. Excellent communication skills, attention to detail, and adaptability help you deliver nuanced translations and collaborate effectively with technical teams. These skills ensure translated content is accurate, culturally appropriate, and leverages the latest AI capabilities for superior results.

What are some common challenges faced by artificial intelligence assistant translators when working with specialized terminology?

Artificial Intelligence Assistant Translators often encounter challenges when dealing with specialized terminology, such as technical, legal, or medical jargon. AI translation tools may not always accurately capture the nuances or context of these terms, requiring translators to double-check and refine the output. To address this, professionals in this role frequently consult reliable glossaries or subject matter experts and stay updated on industry-specific language trends. Close collaboration with human translators and editors is also essential to ensure high-quality, contextually correct translations.

What are popular job titles related to Artificial Intelligence Assistant Translator jobs?

For Artificial Intelligence Assistant Translator jobs, the most frequently searched job titles are:

Assistant/Associate Professor of Artificial Intelligence and Machine Learning in...

Columbus, OH • On-site

Other

Posted 11 days ago


Key responsibilities

  • Conduct translational research using AI/ML approaches to address challenges in veterinary medicine, disease prevention, and population health.

  • Develop and maintain an extramurally funded research program focused on applied AI and machine learning in veterinary preventive medicine and population health.

  • Deliver high-quality instruction on topics related to veterinary preventive medicine, epidemiology, animal welfare, and data-driven disease prevention and control.


Job description

Assistant/Associate Professor of Artificial Intelligence and Machine Learning in Veterinary Population Health

The Ohio State University

Columbus, OH

The Department of Veterinary Preventive Medicine in the College of Veterinary Medicine at The Ohio State University invites applications for a full-time, tenure-track faculty appointment at the rank of Assistant or Associate Professor, specializing in Artificial Intelligence (AI) and Machine Learning (ML). We seek an AI/ML scholar whose research focuses on developing and applying innovative computational methods to address critical challenges in veterinary medicine, disease prevention and control, and population health. Ideal candidates will have a strong background in AI/ML and a demonstrated ability to translate advanced analytical approaches into meaningful discoveries and practical applications relevant to animal health and welfare. This position complements The Ohio State University’s AI Hiring Initiative to harness AI to revolutionize the translation of ideas to real-world solutions for Ohio and beyond. The primary responsibilities of this position will be to conduct innovative, translational research at the intersection of advanced computational data science and veterinary medicine. Candidates must demonstrate significant AI/ML expertise as a core element of their scholarship through the development of novel methods or the application of existing approaches that generate new scientific knowledge, methodological advances, or practice solutions for veterinary preventive medicine and population health. The successful candidates will maintain an extramurally funded research program that prioritizes translational science discoveries using novel approaches that support animal health and/or welfare. The position is intended for faculty whose scholarly contributions are centered on AI/ML and their advancement or innovative application in veterinary and population health contexts, rather than the routine use of existing AI tools. In addition to research, the successful candidate is expected to maintain a teaching program. Teaching responsibilities will include providing instruction to veterinary and graduate students on topics that may include preventive medicine, animal welfare, and/or disease diagnosis and prevention and control. The candidate may also be expected to develop and deliver content that expands AI literacy and promotes the responsible and effective use of AI tools in veterinary medicine and related disciplines. The successful candidate is expected to serve in department, college, and university level initiatives including the OSU AI(x) Hub that aims to pioneer AI innovation for the public good. They will also have the opportunity to engage with regulatory agencies and external stakeholders to use AI to advance veterinary medicine. The specific distribution of effort will be adjusted to reflect the strengths and interests of the successful candidate but will remain predominately focused on research.

Performance Objectives
  • Conduct translational researchusing AI/MLapproachesto address challenges in veterinary medicine, disease preventionand control, and population health. Illustrative examplesinclude:
  • Traditional and syndromic disease surveillance
  • Precision livestock farming,herd health informatics, and integrated decision support
  • Predictive modelingfordisease prevention,diagnosis,treatment, and population healthand welfaremanagement
  • Populationgenomics,geneticsand epidemiological forecasting
  • Develop andmaintaina nationally and internationally recognized, extramurally funded research program focused on applied AI and machine learning in preventiveveterinarymedicine and population health.
  • Collaborate across disciplines (e.g., computer science, data analytics, public health,agriculture, medicine,and veterinary medicine) to foster cross-cutting research.
  • Deliver high-quality instruction incore and elective topics, which may include veterinary preventive medicine, epidemiology, animal welfare, and data-drivendiseaseprevention and control
  • Contribute to educational activities thatexpandAI literacyand promotetheresponsibleuse and evaluation ofAIin veterinary medicine
  • Mentorgraduatestudents (MS/PhD) and postdoctoral fellows in applied data science and population health
  • Engage with profession organizations, regulatory agencies, and industry stakeholders to advance the field of veterinary medicine
  • Provide service to the department, college, and university through committee participation, academic governance, and participation inOSUAI(X) Hub.
Education and Experience Requirements Required:
  • DVM (or equivalent) or a PhD in Epidemiology, Veterinary Preventive Medicine, Biomedical Informatics, Computer Science, Data Science, or a closely related field.
  • Demonstratesatrack recordofscholarship centered onAI/ML methodologies applied to biological, medical, or population-level data.
  • Evidence of, or strong potential for, securing extramural research funding.
  • Strong communicationskills
Desired:
  • Both a DVM and a PhD in an AI relevant field
  • Board certification (or eligibility) ina relevant veterinary specialty (e.g., ACVPM, ACZM, ACVM)
  • Hands-on experience deploying AI/ML models in practical, clinical, agricultural, or wildlife settings
  • Prior experience teaching epidemiology, biostatistics, or digital health concepts to non-computational learners
Additional Information

The offer for this position will be based on internal equity and the candidate's qualifications. Ohio State provides access to a depth and breadth of opportunities and resources. Starting your first day, Ohio State offers you a comprehensive benefits package.

Application closes 09/15/2026

The university is an equal opportunity employer, including veterans and disability.

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