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Internship Machine Translation Jobs (NOW HIRING)

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... translation, self-supervised learning, active learning, computer vision, statistics, causal ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... translation, self-supervised learning, active learning, computer vision, statistics, causal ...

Netflix

Product Machine Learning Research Leader

... translational applied research with direct impact to Netflix product and content priorities. In ... interns. * Boost the visibility of Netflix research through research products such as external ...

Netflix

Product Machine Learning Research Leader

... translational applied research with direct impact to Netflix product and content priorities. In ... interns. * Boost the visibility of Netflix research through research products such as external ...

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How much do internship machine translation jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship machine translation in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is an internship in machine translation?

An internship in machine translation is a temporary position, often for students or recent graduates, that provides practical experience working with technologies that automatically translate text or speech from one language to another. Interns typically assist with tasks such as building translation models, evaluating translation quality, and improving algorithms using machine learning techniques. The role offers hands-on exposure to natural language processing (NLP), coding, and research, and is valuable for those interested in computational linguistics or AI. It also allows interns to work with experienced professionals in the field and gain insights into both academic and industry practices.

What types of projects and technologies do interns typically work with during a machine translation internship?

As a Machine Translation intern, you can expect to work on projects involving the development, evaluation, or optimization of translation models using state-of-the-art technologies like neural networks, deep learning frameworks (such as TensorFlow or PyTorch), and large multilingual datasets. Interns frequently assist with data preprocessing, refining model architectures, and conducting quality assessments of translation outputs. Collaboration with research scientists, software engineers, and linguists is common, offering valuable exposure to both academic research and real-world product development environments. This hands-on experience is an excellent foundation for a career in natural language processing or computational linguistics.

What are the key skills and qualifications needed to thrive as an internship machine translation specialist, and why are they important?

To thrive in an Internship Machine Translation role, you generally need a background in computer science, linguistics, or a related field, with knowledge of natural language processing concepts. Familiarity with programming languages such as Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and translation tools is often required. Strong analytical thinking, attention to detail, and effective communication help interns collaborate on research and technical tasks. These skills are crucial for developing, testing, and improving translation systems that produce accurate and contextually appropriate results.
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Internship Machine Translation jobs near you
Infographic showing various Internship Machine Translation job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 3% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD)

Meta

New York, NY

Internship

Re-posted 23 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams. These teams are committed to advancing the field of Artificial Intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as Natural Language Processing, Audio and Speech processing, Computer Vision, Machine Learning, Deep Learning, and Reinforcement Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our teams are looking for candidates with expertise in the Natural Language Processing & Multimodality domains, such as: machine translation, speech translation, natural language understanding and generation, computer vision, language modeling, pretraining and post-training, low-resource NLP, question answering, dialogue, cross-lingual and cross-domain transfer learning, and multimodal understanding, reasoning and generation.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com.
Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD) Responsibilities:
  • Perform research that enables learning the semantics of data (specifically text, audio, images, video, and other modalities)
  • Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
  • Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
  • Draft and polish research reports and/or publications
  • Present research outcomes to internal and/or external audiences
  • Contribute research that can be applied to Meta product development

Minimum Qualifications:
  • Currently has or is in the process of obtaining a PhD degree in the field of Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent
  • Research and/or work experience in Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Deep Learning, or equivalent
  • Experience in Python, C++, or other related languages
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Speech & Language (ACL, EMNLP, NAACL, TACL, ICASSP, Interspeech, SLT, ASRU, TASLP)
  • Experience advancing AI techniques in Natural Language Processing, including contributions to open source libraries and frameworks in Speech & Language
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV) or Machine Learning (NeurIPS, ICML, ICLR)
  • Experience advancing AI techniques in Computer Vision and/or Machine Learning
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience working and communicating cross functionally in a team environment
  • Intent to return to degree-program after the completion of the internship/co-op

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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