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Assistant Voice Research Task Jobs in Texas (NOW HIRING)

Jean Martin, Inc

AI Architect (Pod Lead)

Austin, TX · On-site

$54.75 - $75/hr

... senior voice in the joint working sessions, and you write code and review pull requests. Your first job is to convert an open-ended "research task" into a typed, measurable decision pipeline.

ELLIGO HEALTH RESEARCH INC

Research Assistant

El Paso, TX · On-site

$17.50 - $24/hr

The Research Study Assistant plays a key role in assisting with the conduct of clinical trial ... This task includes specimen transport, handling, sorting, requisition entry, inventory ...

BPS Just Energy Technology

Research Assistant

Argyle, TX

$18.25 - $25.25/hr

May perform tasks related to the research project independently, but within specific guidelines and ... As a member of a project team, may assist in the design of laboratory experiments, techniques, and ...

Fynbosys Inc

AI Architect

Austin, TX · On-site

... voice in the joint working sessions, and you write code and review pull requests. Your first job is to convert an open-ended "research task" into a typed, measurable decision pipeline.

School of Medicine

Research Assistant

San Antonio, TX · On-site

$17.25 - $24/hr

An open, fully funded position for a research assistant is available in the Glenn Biggs Institute ... Job Duties: 1. Provides routine assistance in performing assigned and delegated tasks in support of ...

Houston Methodist

$16.25 - $22.25/hr

Under minimal supervision, the Research Assistant III will perform a wide variety of complex tasks requiring practical understanding of scientific techniques and advanced knowledge of scientific ...

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All JobsVoice Research Task JobsAssistant Voice Research Task JobsAssistant Voice Research Task Jobs in Texas

Assistant Voice Research Task information

What are Assistant Voice Research Tasks?

Assistant Voice Research Tasks involve collecting, analyzing, and improving voice data to enhance the performance of voice assistants like Siri, Alexa, or Google Assistant. People in these roles may transcribe voice recordings, annotate speech data, evaluate the quality of voice responses, or test new voice recognition features. The goal is to help make voice assistants more accurate, natural, and helpful for users by identifying errors or areas for improvement. These tasks are typically carried out by researchers, linguists, or specialized annotators working for technology companies.

What are the key skills and qualifications needed to thrive as a Voice Assistant Researcher, and why are they important?

To thrive as a Voice Assistant Researcher, you need expertise in computational linguistics, machine learning, natural language processing (NLP), and usually a degree in computer science, linguistics, or a related field. Familiarity with programming languages like Python, tools such as TensorFlow or PyTorch, and experience with speech recognition systems are typically required. Strong analytical thinking, creativity, and effective collaboration skills help you innovate and work well within multidisciplinary research teams. These competencies are crucial for developing accurate, user-friendly voice technologies that meet evolving user needs.

What are some common challenges faced by professionals working in Assistant Voice Research tasks, and how can they be addressed?

Professionals in Assistant Voice Research often encounter challenges such as ensuring high-quality voice recognition across diverse accents, dialects, and noisy environments. They may also need to handle large datasets and continually update models to improve accuracy and user experience. Collaborating closely with linguists, data scientists, and software engineers is crucial, as is staying current with advancements in AI and natural language processing. Addressing these challenges involves ongoing testing, user feedback collection, and leveraging cutting-edge research to refine voice assistant capabilities.

What is the difference between Assistant Voice Research Task vs Voice Data Annotator?

AspectAssistant Voice Research TaskVoice Data Annotator
Required CredentialsBasic understanding of linguistics, speech technologyNone or minimal; training provided
Work EnvironmentResearch labs, tech companies, remoteData labeling centers, remote or onsite
Employer & IndustryTech companies, AI development, speech recognitionData annotation firms, AI companies
Common Search & ComparisonYesYes

The Assistant Voice Research Task involves supporting speech research with a focus on linguistic and technical understanding, often in a research or development setting. Voice Data Annotators primarily focus on labeling and preparing audio data for machine learning models. While both roles support speech technology, the Assistant Voice Research Task typically requires some foundational knowledge, whereas Voice Data Annotators usually need minimal prior experience.

What cities in Texas are hiring for Assistant Voice Research Task jobs? Cities in Texas with the most Assistant Voice Research Task job openings:
Assistant Voice Research Task jobs near you
AI Architect (Pod Lead)

AI Architect (Pod Lead)

Jean Martin, Inc

Austin, TX • On-site

$54.75 - $75/hr

Other

Posted 7 days ago

Job description

Experience: 10+ years engineering experience, including significant demonstrated impact designing and deploying production AI systems at scale.

The hands-on technical lead and the one broad role on the pod. You own the Detection & Disposition Engine architecture end to end, you are the senior voice in the joint working sessions, and you write code and review pull requests. Your first job is to convert an open-ended "research task" into a typed, measurable decision pipeline.

Qualifications

Python — production-grade.

Agentic / multi-agent architecture; orchestration (LangGraph or equivalent), typed state, tool contracts; context and prompt engineering; evaluation engineering.

Demonstrable judgment on deterministic versus probabilistic system design — you can point to systems where you deliberately kept the model out of the critical path.

RAG and code/knowledge-graph design; retrieval-pipeline design and tuning.

Production LLM systems at scale on AWS (Bedrock) or equivalent.

Evaluation harnesses: golden sets, confidence calibration, regression suites that gate model and prompt changes.

Spec-driven development; power user of AI coding agents (Claude Code, Cursor, Codex).

Outstanding written and verbal articulation.

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