Camb.AI

Benefits:

• Competitive Compensation

• Performance bonuses

• Comprehensive benefits

• Growth Opportunities

• Innovative Environment

Education Requirements:

• Bachelor’s or Master’s degree in Linguistics, Translation, Business, or a related field

Experience Requirements:

• 5-7 years of experience in dubbing or voice over industry

• Experience in the sports or media industries is a plus

• Should have managed a team of 10+ translators or voiceover artists

Other Requirements:

• Fluency in English is required

• Proficiency in South Asian languages is a strong advantage

• Understanding of localization tools, translation management systems (TMS), and industry-standard voiceover processes

• Strong project management skills, with the ability to manage multiple projects simultaneously and work with cross-functional teams

• Experience working with localization vendors and freelancers, with a focus on quality control and budget management

• Familiarity with AI-driven translation/localization solutions is a plus

• Ability to work with engineering teams and understand technical constraints related to localization

• Strong analytical and problem-solving skills, with a proactive approach to addressing challenges and improving localization processes

• Exceptional verbal and written communication skills

• Must be able to clearly articulate localization needs and strategies, manage expectations with stakeholders, and work across cultures and languages

Responsibilities:

• Project Management: Oversee the end-to-end delivery of project, including planning, scheduling, and managing multiple workstreams simultaneously to ensure timely delivery

• Vendor Management: Source, manage, and coordinate with localization vendors, freelancers, and translation partners to ensure quality and consistency across languages

• Quality Control: Ensure linguistic accuracy, cultural appropriateness, and overall quality of localized content. Work with language specialists to conduct regular quality checks

• Collaboration: Work closely with product, engineering, marketing, and customer success teams to understand localization needs and ensure the platform meets market-specific requirements

• Budget Management: Manage the project budget and ensure cost-effective solutions without compromising quality

Benefits:

• Competitive Compensation

• Performance bonuses

• Comprehensive benefits

• Growth Opportunities

• Innovative Environment

Education Requirements:

• PhD or equivalent experience in speech technology, machine learning, or a related field

Experience Requirements:

• Proven track record of publishing in leading speech conferences such as Interspeech, ICASSP, etc.

• Hands-on experience with popular speech toolkits and frameworks

Other Requirements:

• Strong programming and algorithmic skills

Responsibilities:

• Lead and drive innovative research in the field of speech recognition, synthesis, and related technologies

• Collaborate closely with the R&D team to integrate research findings into Camb.ai's products

• Keep abreast of latest advancements in speech technology and continuously push for innovations in the field

• Publish research findings in leading conferences, journals, and workshops

Benefits:

• Competitive Compensation

• Performance bonuses

• Comprehensive benefits

• Growth Opportunities

• Innovative Environment

Education Requirements:

• Degree in Computer Science or a related field

Experience Requirements:

• Solid experience with cloud platforms (like AWS, Azure, GCP), containerization tools (like Docker, Kubernetes), and ML platforms (like TensorFlow, PyTorch)

• Understanding of the challenges associated with deploying and scaling ML models

Other Requirements:

• Strong programming skills in Python or similar languages

Responsibilities:

• Design, develop, and maintain the infrastructure to train, deploy, and monitor ML models at scale

• Collaborate closely with ML scientists to understand the requirements and deliver robust solutions

• Ensure the infrastructure's reliability, scalability, and performance

• Proactively identify areas for improvement and optimization in our ML pipeline