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Assistant Voice Research Task Jobs in California

Generalist

Research Assistant

San Francisco, CA · On-site

$50 - $70/hr

We are looking for a Research Assistant to help design, run, and analyze experiments at the ... Setting up physical tasks, materials, fixtures, and benchmarks for robot evaluations * Collecting ...

Generalist

Research Assistant

San Mateo, CA · On-site

$50 - $70/hr

We are looking for a Research Assistant to help design, run, and analyze experiments at the ... Setting up physical tasks, materials, fixtures, and benchmarks for robot evaluations * Collecting ...

Howard

Research Assistant

Seeley, CA · On-site

$19.50 - $26.75/hr

Under the supervision of the Principal Investigator and Project Manager, the Research Assistant I ... tasks; participate with the research team in conducting basic data analyses and preparing reports ...

AppFolio

Sr. Machine Learning Engineer

Santa Barbara, CA · On-site

$112K - $154K/yr

... Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X ... and voice research into reliable, low-latency, multi-channel experiences that scale across our ...

Chapman University

Research Lab Assistant

Orange, CA · On-site

$17/hr

Responsibilities * Assist faculty researchers with data collection, organization, and management ... tasks. * Conduct literature reviews and summarize scientific publications relevant to project ...

New

Generalist AI, Inc

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

We are looking for a Research Assistant to help design, run, and analyze experiments at the ... Setting up physical tasks, materials, fixtures, and benchmarks for robot evaluations * Collecting ...

Chapman University

Student Research Assistant

Orange, CA · On-site

$19/hr

Responsibilities * Assist with data collection, entry, and organization. * Support research design ... Conduct literature reviews and research-related tasks. * Prepare reports, presentations, and ...

Chapman University

Research Lab Assistant

Orange, CA · On-site

$17/hr

Responsibilities * Assist faculty researchers with data collection, organization, and management ... tasks. * Conduct literature reviews and summarize scientific publications relevant to project ...

New

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Assistant Voice Research Task information

What is an assistant voice research task?

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 are the most commonly searched types of Voice Research Task jobs in California?

The most popular types of Voice Research Task jobs in California are:

What cities in California are hiring for Assistant Voice Research Task jobs?

Cities in California with the most Assistant Voice Research Task job openings:

Assistant Voice Research Task jobs near you

Research Assistant

Generalist

San Francisco, CA • On-site

$50 - $70/hr

Other

Posted 5 days ago

Job description

About the Role:

We are looking for a Research Assistant to help design, run, and analyze experiments at the intersection of machine learning and robotics. This is an entry‑level research role for individuals with less than 3 years of research experience, and is designed to be a potential career path towards eventually contributing as a Research Scientist.

At Generalist, we are building foundation models for robots. These models improve through a tight feedback loop: design experiments, collect data, train or fine‑tune models, evaluate them in the real world, analyze results, and repeat. This role helps make that loop faster, more rigorous, and more reliable.

You will work closely with ML researchers and robotics engineers to run robot experiments, design evaluation tasks, brainstorm ideas, collect data, interpret results, and document repeatable workflows.

A major part of this role is helping ensure our evaluations are trustworthy. We care deeply about experimental design, controls, hands‑on iteration, sample sizes, variance, repeatability, and statistical rigor.

You’ll be responsible for:

  • Running structured experiments on robot platforms

  • Setting up physical tasks, materials, fixtures, and benchmarks for robot evaluations

  • Collecting high‑quality robot data and tracking experimental conditions

  • Measuring real‑world success rates across tasks, robots, and model variants

  • Designing evaluations with attention to controls, repeatability, statistical rigor, and sources of bias

  • Analyzing results to help distinguish real model improvements from noise

  • Synthesizing findings and communicating them clearly to ML researchers and engineers

  • Preparing robots, sensors, workspaces, and materials for rollouts and evaluations

  • Helping kick off training jobs, run evaluations, and organize results

  • Beta testing internal and third‑party tools for teaching robots new skills

  • Troubleshooting physical setups, hardware issues, and procedural bottlenecks

  • Writing clear documentation and playbooks so others can reproduce workflows

  • Improving experimental reliability, data quality, and operational throughput over time

You might thrive in this role if you:

  • Have experience running experiments, lab studies, field studies, data collection workflows, or structured evaluations

  • Think carefully about experimental design, confounding factors, controls, sample sizes, variance, and what conclusions the data can actually support

  • Are diligent and detail‑oriented, especially when tasks are repetitive but subtle differences matter

  • Enjoy hands‑on work with physical systems, equipment, materials, or instruments

  • Are comfortable following protocols while also noticing when something is wrong or could be improved

  • Can coordinate many moving parts: robots, materials, tasks, data, model versions, metrics, and documentation

  • Communicate clearly and can summarize what happened, what changed, and what the evidence suggests

  • Are curious about machine learning and robotics, even if you are not yet an expert in either

  • Have some exposure to programming, data analysis, robotics, hardware, electronics, mechanical assembly, or experimental tooling

  • Prefer fast iteration, careful measurement, and empirical progress over abstract theory alone

We are an equal‑opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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