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Ai Rater Jobs in California (NOW HIRING)

Clerk AI

BDR Manager

San Francisco, CA

Own BDR KPIs: meetings set, SQOs, pipeline created, and conversion rates * Build and operate AI-first workflows using tools like Clay, Make, Lemlist, and LLMs * Experiment, iterate, and scale new ...

Rad AI

Head of Product

San Francisco, CA · On-site

$182K - $224K/yr

With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports ...

OSI Engineering, Inc.

Senior AI Engineer

Cupertino, CA · On-site +1

$58 - $68/hr

Senior AI Engineer We are seeking a Senior AI Engineer to build internal AI systems and ... Cupertino, CA (Hybrid/Remote) Duration: 12+ Months Pay Rate Range: $58-$68/hr. (depending on ...

Character.ai

Product Marketing Manager

Redwood City, CA · On-site

$180K - $200K/yr

AI, our mission is to build the future of AI entertainment, giving everyone access to personalized ... Set ratings & reviews strategy: define the approach for review solicitation and sentiment ...

SpotOn: Sales

Staff AI Engineer

San Francisco, CA · On-site

$210K - $280K/yr

Rated the top-rated point-of-sale (POS) for restaurants, bars, retail, and small businesses by ... You write code with AI every day. You've built agents that do real work. You have strong ...

eTeam

AI Backend Engineer

Rosemead, CA

... and rate limiting. • Build REST/GraphQL endpoints and internal SDKs to enable AI enhanced ... features (prompt routing, retrieval, redaction) while maintaining strict separation from model ...

Provident Credit Union

AI Architect

Redwood City, CA · On-site

$108K - $123K/yr

AI ARCHITECT (Redwood City, CA) *** We do not sponsor employment/work visas at this time, if you ... Rate discount on home and auto loans * Opportunity to use company owned condo in Maui and Lake ...

PROVIDENT CREDIT UNION

AI Architect

Redwood City, CA

$108K - $123K/yr

AI ARCHITECT (Redwood City, CA) *** We do not sponsor employment/work visas at this time, if you ... Rate discount on home and auto loans * Opportunity to use company owned condo in Maui and Lake ...

Meta

AI Policy Manager

Menlo Park, CA · On-site +1

$153K/yr

AI Policy Manager Responsibilities: * Develop and maintain Meta's advocacy positions on a wide ... Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual ...

Hume AI

Open Role

San Jose, CA · On-site +1

$130K - $230K/yr

... AI assistants for any application. Our models understand and generate subtle tones of voice, word emphasis, and more and the reactions of users. They are rated higher than models by OpenAI and others ...

AceStack LLC

AI Backend Engineer

Rosemead, CA

... and rate limiting. • Build REST/GraphQL endpoints and internal SDKs to enable AI enhanced ... features (prompt routing, retrieval, redaction) while maintaining strict separation from model ...

Vercel Corp

Software Engineer, AI Gateway

San Francisco, CA · On-site +1

$196K - $294K/yr

... rate limiting, intelligent failovers, and seamless integrations, enabling developers to ship AI ... powered applications without managing provider-specific complexities. This role focuses on ensuring ...

Vercel

Software Engineer, AI Gateway

San Francisco, CA · On-site +1

$196K - $294K/yr

... rate limiting, intelligent failovers, and seamless integrations, enabling developers to ship AI ... powered applications without managing provider-specific complexities. This role focuses on ensuring ...

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What is an AI Rater job?

An AI Rater evaluates and provides feedback on artificial intelligence models, typically improving search engines, chatbots, or recommendation systems. They assess the relevance, accuracy, and quality of AI-generated content based on specific guidelines. This role requires strong analytical skills, attention to detail, and familiarity with the subject matter being reviewed. AI Raters often work remotely and on a flexible schedule.

What are the key skills and qualifications needed to thrive in the Ai Rater position, and why are they important?

To thrive as an AI Rater, you generally need strong attention to detail, analytical thinking, and proficiency in English, often supported by formal education such as a high school diploma or higher. Familiarity with web browsers, online research, and company-specific rating platforms or guidelines is essential. Excellent time management, adaptability, and effective written communication help individuals excel in this position. These skills and qualities ensure accurate and consistent evaluations of AI-generated content, directly impacting the improvement of artificial intelligence systems.

What does a typical day look like for an AI Rater?

A typical day for an AI Rater involves reviewing and evaluating various types of content, such as search engine results, social media posts, advertisements, or chatbot responses, to ensure they meet quality and relevancy standards. You may follow detailed guidelines to rate or annotate content, complete assigned tasks in a web-based platform, and provide feedback to help improve AI performance. Most positions are remote and offer flexible schedules, allowing you to plan your workload around personal commitments. Collaboration is generally limited, as most work is performed independently, but periodic communication with team leads for training or updates is common.

What are the most commonly searched types of Ai Rater jobs in California? The most popular types of Ai Rater jobs in California are:
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Ai Rater jobs near you
Infographic showing various Ai Rater job openings in California as of June 2026, with employment types broken down into 15% Internship, 31% Full Time, 46% Part Time, and 8% Contract. Highlights an 69% In-person, and 31% Remote job distribution.

Staff Platform Engineer, Voice AI

Together AI

San Francisco, CA • On-site

Full-time

Medical

Posted 23 days ago

Job description

About the Role
Together AI is defining the infrastructure layer for the next generation of voice applications. Our Voice AI platform powers production-grade, real-time voice agents at scale - and we're looking for a Staff Platform Engineer to own the architecture that makes it possible.
This isn't a role about maintaining what exists. You'll set the technical direction for how developers interact with Together's voice platform - from the real-time API primitives they build on, to the autoscaling systems that keep latency SLOs intact under unpredictable load, to the multi-provider abstraction layer that makes our platform uniquely powerful. Voice infrastructure is categorically harder than text inference: bidirectional audio streams, stateful long-lived connections, millisecond latency requirements, and complex multi-model routing don't forgive architectural shortcuts. You'll bring the judgment to get this right the first time, at scale.
This is a foundational hire on a small, high-conviction team. The decisions you make in this role will define the platform architecture for years.
Responsibilities
  • Own the architecture and reliability of Together's real-time API layer - set the technical direction for WebSocket and HTTP streaming APIs powering STT and TTS at scale; establish the reliability bar (connection lifecycle, backpressure, graceful degradation, reconnection) that production voice agents - contact centers, AI agents, communication platforms - depend on.
  • Lead autoscaling architecture for latency-sensitive voice workloads - design and ship orchestration systems that handle bursty, real-time traffic across tens of thousands of GPUs; solve the hard problems at the intersection of concurrent connection limits, streaming state, and hard latency ceilings that generic autoscalers weren't built for.
  • Define the voice API feature surface - make the architectural calls on word-level alignment, real-time speaker diarization, audio format support (g711/mulaw, PCM, WebRTC), pronunciation controls, and multi-context WebSocket - with a clear view of what unlocks the next category of developer use cases.
  • Build the observability platform for voice infrastructure - design the latency breakdown pipelines, audio quality signal collection, and customer-facing dashboards that give both the team and developers the instrumentation they need to operate at production quality; make debugging voice issues fast and systematic.
  • Own the multi-provider abstraction layer - architect the normalization layer across model partners (Cartesia, Deepgram, Rime, and others) that delivers consistent, provider-agnostic API behavior; your design should absorb upstream variability without exposing it to developers.
  • Drive the interface between API and ML serving - partner closely with ML engineering leadership to define the contract between the API layer and the model serving stack; your decisions here have direct impact on end-to-end latency and reliability SLAs.
  • Raise the bar for developer experience across the platform - lead API design reviews, shape documentation strategy, define integration patterns and cookbooks; the voice developer experience should be something the industry references, not just adequate.
  • Architect for the product surface that doesn't exist yet - build systems with the foresight that they become the foundation for multiple new voice products; your platform decisions should expand what's possible, not constrain it.
Requirements
  • 8+ years of experience building large-scale, real-time distributed systems - with clear ownership of systems that carried production traffic at meaningful scale; you can speak to the architectural decisions you made and defend the tradeoffs.
  • Deep, battle-tested expertise in real-time streaming infrastructure - WebSocket server architecture, SSE, bidirectional streaming, connection multiplexing, stateful protocol design - you've debugged production failures in these systems and come out with durable architectural improvements.
  • Expert-level TypeScript and Python, with strong proficiency in systems-level thinking; Rust experience is a meaningful advantage at this level given where voice infrastructure is heading.
  • Senior distributed systems judgment - load balancing, autoscaling, rate limiting, and traffic shaping for latency-sensitive workloads aren't concepts you reference, they're problems you've solved under pressure.
  • Deep Kubernetes expertise - custom autoscalers, resource management, and health checking for stateful, streaming services; you've built Kubernetes automation that handled edge cases the off-the-shelf tooling couldn't.
  • Strong technical leadership - you set direction, influence across teams without authority, bring clarity to ambiguous problems, and leave systems and teams meaningfully better than you found them.
  • Sharp product intuition for developer platforms - you have genuine opinions about API ergonomics, you think from the developer's perspective first, and you've shipped tooling that developers actually praised.
  • Proven ability to operate with autonomy on high-ambiguity, high-stakes problems - you define the right problem before optimizing the solution, and you've done it on teams where the roadmap wasn't handed to you.
  • Experience with audio and media protocols (WebRTC, g711, PCM encoding) is strongly preferred at this level - the domain specificity matters.
  • Familiarity with ML model serving infrastructure and how inference engines work is a significant advantage - you'll be a key partner to the ML engineering side of the team.
  • Full-stack experience (React, Next.js) for developer-facing tooling contributions is a plus.
  • Bachelor's or Master's in Computer Science, Computer Engineering, or related field - or equivalent depth demonstrated through your work.

About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $220,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy

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