Website Deepgram
🎯 Job Description: Freelance Speech Recognition Specialist, Deepgram
📈 Position: Freelance Speech Recognition Specialist
🏙️ Company: Deepgram
📍Location: Remote / Work-from-anywhere
🧾Contract: Part-time / Project-based Freelance
⏳Hours: Flexible, depending on project scope
🛠 Key Responsibilities
- Develop, tune, and improve Speech-to-Text (STT) models and pipelines using Deepgram’s APIs and tools.
- Analyze audio data for quality, accents, dialects, background noise, and other real-world challenges; implement strategies to improve recognition accuracy.
- Perform model training / fine-tuning on custom datasets to handle domain-specific vocabulary or specialized speech patterns.
- Create and run evaluation benchmarks: measure metrics like word-error rate (WER), latency, confidence scores, etc.
- Preprocess and manage audio: cleaning, segmenting, labeling, possibly diarization (identifying who speaks when).
- Integrate and test with Deepgram’s streaming and batch transcription services; ensure low latency and high reliability.
- Troubleshoot speech recognition issues: mis-transcriptions, noise interference, API behavior, etc.
- Collaborate with data engineers, ML researchers, product teams, and possibly clients to understand use cases and requirements.
- Document your work: model changes, evaluation results, best practices, instructions for deployment.
✅ Required Skills & Qualifications
- Strong understanding of Automatic Speech Recognition (ASR) / Speech-to-Text systems.
- Experience with Deepgram’s STT APIs (or similar: Google Speech-to-Text, Whisper, etc.).
- Good grasp of signal processing / handling audio data: formats, sampling, noise, etc.
- Ability to preprocess data: cleaning audio, labeling, segmentation.
- Familiarity with evaluation metrics (WER, latency, accuracy, confidence scores) and tools to measure them.
- Programming skills: Python or relevant language; experience with ML frameworks or libraries.
- Experience with streaming data (real-time transcription) &/or batch transcription pipelines.
- Strong problem-solving ability, attention to detail.
- Good communication skills; able to explain technical trade-offs and work with cross-functional stakeholders.
💡 Preferred / Nice-to-Have
- Experience with specialized speech domains (e.g., medical, legal, technical, non-native speakers).
- Experience with model fine-tuning or custom model adaptation.
- Knowledge of diarization (multi speaker), speaker recognition.
- Familiarity with cloud deployment or self-hosted environments.
- Working knowledge of handling multilingual data.
- Previous freelance or remote work experience, ability to manage timelines independently.
✅ What Deepgram Offers / What to Expect
- Remote / flexible work setup.
- Access to Deepgram’s speech-AI tools, cutting-edge models.
- Opportunity to work on real-world speech recognition challenges.
- Collaborative team: you’ll interact with researchers, engineers, product, possibly customers.
- Compensation based on scope and expertise.
📢 If you’re passionate about speech, language, and making machines understand us better, this role is for you. 💬Let’s build systems that not only hear — but truly understand voice.
#SpeechRecognition#Deepgram #ASR #VoiceAI #MachineLearning #RemoteFreelance #AIJobs #VoiceTech #SpeechToText #DataScience


Follow Us