Speech Recognition Engineer
Quick Summary
VoxWave Innovations is hiring a Speech Recognition Engineer to build state-of-the-art voice recognition systems that enhance communication between humans and technology. The role offers exciting opportunities for freshers and early-career professionals to contribute to next-generation speech-to-text platforms and voice-enabled applications.
Project Category or Industry
Artificial intelligence, speech technology, and natural language processing.
Type
Full-time employment.
Experience Level
Primarily targeting entry-level candidates and fresh graduates, with opportunities for skill development and mentorship. Candidates with prior academic or internship experience in speech or audio processing will also be considered.
Duration
Long-term role with career progression potential.
Location
Remote-first position, open to applicants globally. Preference will be given to candidates able to collaborate during North American or European time zones.
Salary
Annual salary in the range of $76,000 to $88,000, based on experience and technical expertise.
Payment Mode
Monthly direct deposit.
Hiring Company Name
VoxWave Innovations.
Required Skills or Tools
The candidate should have strong skills in Python programming and familiarity with libraries such as Kaldi, DeepSpeech, or Hugging Face Transformers. Knowledge of signal processing, acoustic modeling, and deep learning frameworks like TensorFlow or PyTorch will be essential.
Project Description
The Speech Recognition Engineer will work on building and optimizing models for accurate speech-to-text conversion. The role will focus on creating scalable solutions that power applications in areas such as customer service automation, healthcare dictation, and voice assistants.
Core Responsibilities and Expected Deliverables
Responsibilities include preparing and preprocessing audio datasets, designing and training acoustic and language models, evaluating system accuracy, and deploying speech recognition services into production environments. Deliverables will include fully functional recognition models, APIs, and detailed documentation.
Required Experience and Preferred Qualifications
A bachelorβs degree in computer science, electrical engineering, or a related discipline is required. Experience with projects involving speech recognition or natural language processing will be considered advantageous. Preferred qualifications include certifications in machine learning or signal processing.
Tools or Platforms to Be Used
Python, Kaldi, DeepSpeech, TensorFlow, PyTorch, and cloud platforms such as AWS, Azure, or Google Cloud AI services.
Language Requirement
Fluency in English is required. Additional language proficiency is a plus for multilingual model training.
Communication Style
Team members will collaborate primarily through Slack and Zoom, with structured project updates and regular milestone reviews managed via email and project management tools.
Time Commitment or Working Window
40 hours per week, with flexibility for global applicants but with at least 4 overlapping hours in CET or EST time zones preferred.
Payment Terms
Fixed monthly salary with annual reviews and opportunities for performance-based bonuses.
Evaluation Criteria
Candidates will be evaluated on technical expertise in speech recognition, problem-solving ability, communication skills, and collaborative mindset. The recruitment process will involve a technical coding assessment, model design exercise, and panel interview.
Other Requirements
Successful candidates will be required to sign an NDA and adhere to data security standards. Use of company-approved time-tracking tools may be necessary during onboarding.
About the Company
VoxWave Innovations is a technology-driven company specializing in AI-powered speech solutions. Based in Austin, Texas, the company serves clients across healthcare, telecommunications, and consumer electronics. With a mission to create seamless voice-enabled experiences, VoxWave Innovations combines advanced research with practical deployment to deliver scalable and reliable speech recognition products. To learn more, visit www.voxwaveinnovations.com or reach out at careers@voxwaveinnovations.com.
