Hire Speech Recognition Engineers
Pre-Vetted Speech Recognition Engineers From Latin America, Working US Hours
Hire speech recognition engineers from Latin America experienced in waveform processing, noise reduction and model fine-tuning for speech-to-text systems. Get started with top talent in 21 days or less through LatamCent.
+100 more
30-minute strategy call + interview plan. No commitment.★★★★★ 5.0 on G2
Trusted by top companies:
Why Hire Speech Recognition Engineers From Latin America?
Speech recognition engineers in Latin America bring hands-on experience with automatic speech recognition (ASR), voice data modeling, and real-time processing tools. Their skills help businesses build products that listen, learn, and respond effectively.
Working within U.S. time zones allows for quick feedback loops, consistent communication, and stronger collaboration. These engineers adapt easily to existing workflows and contribute meaningfully from day one.
They also offer a cost-efficient hiring option while maintaining a high technical standard. With practical knowledge of machine learning and NLP, they’re a strong fit for teams developing next-generation voice applications.
Engineering Teams That Hired Through LatamCent
Real results from engineering hires in Latin America.
An engineering org built in Brazil at 63% below US cost, with 88% retention.
Read the storyA senior Python developer raised the bar on quality. Work that took multiple sprints started happening in one.
Read the storyThe AWS Premier Tier Partner added engineers with AI/ML, AWS and Azure backgrounds to work with its US teams in real time.
Read the storyLatamCent
Can Help You
Hire Speech Recognition Engineers in 21 Days
We place vetted Speech Recognition Engineers experienced in building LLM applications, AI agents, NLP solutions, computer vision systems, and production-ready ML models.
Payroll & IP Compliance
We handle international payroll, tax documentation, and IP transfer under legally binding agreements aligned with U.S. standards.
Fluent English, AI/ML Specialists
All candidates speak fluent English and have experience working in agile teams, deploying AI solutions, training and fine-tuning models, and maintaining production-grade ML systems.
Get Pre-Vetted Speech Recognition Engineers
Looking for AI, ML, LLM, or MLOps engineers? We'll send pre-vetted candidates matched to your tech stack and hiring needs.
30-minute strategy call + interview plan. No commitment.
Responsibilities Of Speech Recognition Engineers In SaaS Companies
Speech Model Development & Training
Designs and trains speech recognition models handling diverse accents, noise conditions, and speaking styles, optimizing accuracy and latency for transcription and command processing within SaaS products using user audio data.
Audio Processing & Feature Pipelines
Builds audio preprocessing pipelines for sampling, normalization, and feature extraction, ensuring consistent input quality for training and inference workflows supporting speech-driven SaaS features at scale under variable acoustic conditions.
Performance Evaluation & Error Analysis
Evaluates recognition performance using error rates, latency metrics, and real-world tests, analyzing failures to improve robustness, vocabulary coverage, and reliability for speech-enabled SaaS applications across customer usage scenarios.
Product Integration & Deployment Coordination
Integrates speech recognition services into product systems, connecting audio capture, APIs, and downstream workflows while coordinating deployment, versioning, and updates within multi-tenant SaaS platforms supporting scalable voice-enabled features.
Our Candidates Are Experienced Speech Recognition Engineers
LatamCent candidates are skillful professionals with excellent English proficiency and impressive work experience.
Junior Speech Recognition Engineer
Handles basic model training, speech data preparation, and test implementations. Supports senior colleagues in debugging and small-scale systems optimization. Typically has 1-2 years experience and familiarity with entry-level tools like TensorFlow.
Mid-Level Speech Recognition Engineer
Develops algorithms, processes diverse audio data, and collaborates on feature enhancements. Focuses on improving recognition accuracy and system efficiency. Brings 3-5 years of hands-on experience with advanced machine learning methods.
Senior Speech Recognition Engineer
Leads model optimization, tackles complex system designs, and mentors junior staff. Manages the integration of speech technologies into broader applications. Possesses 6-9 years' experience, excelling in technical and team collaboration efforts.
Director of Speech Recognition Engineer
Oversees strategic initiatives, ensures cross-team alignment, and drives innovation in recognition solutions. Directs significant projects while ensuring quality and efficiency. Requires over 10 years of expertise spanning technical development and leadership.
30-minute strategy call + interview plan. No commitment.
Speech Recognition Engineer Cost: Latin America vs. USA
Hiring Speech Recognition Engineers in Latin America offers significant cost efficiency without sacrificing expertise.
Lower regional salaries and reduced operational overheads create real financial advantages for companies. Cultural compatibility and strong English proficiency simplify collaboration, supporting teamwork and productivity. Furthermore, access to a large talent pool means finding specialized skills is faster and less costly.
Aligning time zones with U.S. companies ensures seamless communication, improving project coordination and real-time problem-solving. Latin America's workforce also firmly commits to long-term roles, reducing turnover and recruitment expenses.
For U.S. companies, this combination of affordability, technical expertise, and smooth integration encourages smarter hiring decisions while optimizing budgets. It's a resourceful approach to efficiently securing skilled professionals.
Salary Comparison for Speech Recognition Engineers
This is an average based on the top 50% of salaries in the region. Top 10% earners usually have higher rates.
How to Hire Speech Recognition Engineers in 21 Days
Kickoff & Search
Sign the agreement, pay the retainer, and your recruitment begins. Our Talent Partners dive into the market to headhunt 1,100–1,700 qualified Speech Recognition Engineers who meet your job requirements and timezone preferences.
Screening & Evaluation
Our Talent Partners will thoroughly vet candidates through English language tests, personality assessments, and tech capability checks. We conduct interviews to evaluate past work, communication skills, and set expectations.
Selection & Onboarding
You'll assess the top candidates and decide who's right for your team. Once selected, we handle reference checks, legal agreements, and onboarding to payroll. Your new Speech Recognition Engineer is now ready to contribute and integrated into your team.
30-minute strategy call + interview plan. No commitment.
Monarch's CTO on hiring an engineering manager in Brazil
What Engineering Leaders Say
“I always say there’s no Steve Jobs without Steve Wozniak, and that’s what this hire became for us. Without LatamCent, there’s no app.”
Evan LeaphartCEO, Kredit Academy“Our main goal right now is to stay profitable while growing 50% year over year. LatamCent has been part of making that possible.”
Travis MarieaCEO, FlxpointSpeech Recognition Engineers for hire: Sample Profiles
Every Speech Recognition Engineer in our roster has been individually screened for technical depth, English fluency, and real project experience. You will find specialists across different sub-disciplines and seniority levels, all based in Latin America, working in US time zones, and available for full-time dedicated roles.
Voice Data & Audio Pipeline Engineer
Multilingual ASR Engineer
Speech-to-Text Integration Engineer
Nicolas Bravo
Tools
Speaker Recognition & Diarization Engineer
+100 more
“After a difficult job search with recruiters sending mismatched roles, working with LatamCent felt completely different.”
Discover More AI/ML Talent In Latam
LatamCent helps companies hire pre-vetted, full-time AI and machine learning engineers across specialized roles, including MLOps, computer vision, NLP, generative AI, deep learning, and data science. Explore more related hiring options below.
Hire More AI/ML Engineers
Hire Talent Across Other Categories
LatamCent makes nearshoring feel like an
extension of your AI team
I was blown away because LatamCent was able to find more than one qualified candidate who met all of it. It turned out it wasn’t a unicorn, at least not for you.
LatamCent made hiring engineers simple.
We needed to expand our analytics team fast but still stay within budget.
We needed to scale our engineering and delivery teams fast without sacrificing quality.
