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Ai Rater Jobs in California (NOW HIRING)

OSI Engineering, Inc.

Senior AI Engineer

Cupertino, CA · On-site

$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 ...

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 ...

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 ...

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 ...

Notion, LLC

AI Chat Support Lead

San Francisco, CA · On-site

Take direct responsibility for core AI Support KPIs, including deflection rate, CSAT, QA quality, containment/resolution quality, escalation quality, and customer experience health. * Use data ...

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 ...

Brex

Manager, CX AI Strategy

San Francisco, CA · Hybrid

Collaborate with CX leaders to drive performance metrics: resolution rate, CSAT, quality ... Own the CX AI roadmap from opportunity discovery through implementation - prioritize where AI can ...

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 ...

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Ai Rater information

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:
What are popular job titles related to Ai Rater jobs in California? For Ai Rater jobs in California, the most frequently searched job titles are:
What job categories do people searching Ai Rater jobs in California look for? The top searched job categories for Ai Rater jobs in California are:
What cities in California are hiring for Ai Rater jobs? Cities in California with the most Ai Rater job openings:
Ai Rater jobs near you
Senior Platform Engineer, Voice AI

Senior Platform Engineer, Voice AI

Together AI

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

Posted 5 days ago

Job description

Job Summary:
Together AI is a research-driven artificial intelligence company focused on building inference infrastructure for voice applications. They are seeking a Senior Platform Engineer to own the API and infrastructure layer for voice workloads, ensuring the reliability and performance of their voice platform for production-grade applications.
Responsibilities:
• Own the real-time API layer (WebSocket + HTTP streaming) that powers Together's voice platform.
• Design autoscaling and orchestration for voice workloads running on tens of thousands of GPUs.
• Build the developer experience — APIs, observability, and tooling — for a fast-growing product area.
• Work with production voice customers (contact centers, AI agents, communication platforms) to ship what they actually need.
• Build and harden real-time WebSocket and HTTP streaming APIs for STT and TTS — including connection lifecycle management, backpressure, error handling, and reconnection, at the reliability bar needed for production voice agents.
• Design and ship autoscaling for voice model endpoints that handles bursty, real-time traffic patterns — accounting for concurrent connection limits, streaming state, and hard latency ceilings.
• Implement voice-specific API features: word-level alignment, speaker diarization in realtime, audio format flexibility (g711/mulaw for telephony, PCM, WebRTC formats), pronunciation controls, and multi-context WebSocket support.
• Build voice-specific observability — latency breakdowns, audio quality signals, and dashboards that help both the team and customers debug issues.
• Own multi-model normalization across our model partners (Cartesia, Deepgram, Rime, and others), ensuring consistent API behavior regardless of the underlying provider.
• Collaborate with the ML engineering side of the team on the interface between the API layer and the model serving stack, ensuring latency and reliability requirements are met end-to-end.
• Contribute to developer experience — API design, documentation, integration cookbooks, playground and showcasing how best-in-class voice agents are built.
• Lay the groundwork for multiple new products down the line.
Qualifications:
Required:
• 5+ years of experience building large-scale, real-time distributed systems and API services.
• Deep expertise in real-time streaming infrastructure — WebSocket server architecture, Server-Sent Events, bidirectional streaming, connection multiplexing, and stateful protocol design.
• Expert-level programming in TypeScript and Python; experience with Rust is a plus.
• Strong distributed systems fundamentals: load balancing, autoscaling, rate limiting, and traffic shaping for latency-sensitive workloads.
• Experience with Kubernetes — including custom autoscalers, resource management, and health checking for stateful services.
• Strong product sense — you care about API ergonomics and think about what developers building voice apps actually need.
• Comfort working on a small, early-stage team where you'll wear multiple hats and move fast.
• Experience with audio or media protocols (WebRTC, g711, PCM encoding) is a strong plus.
• Familiarity with ML model serving infrastructure and how inference engines work is a plus — you'll interface with the serving layer regularly.
• Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.
Preferred:
• Full-stack experience (React, Next.js) is a nice-to-have for contributing to developer-facing tooling.
Company:
Together AI provides a cloud platform for developing, training, fine-tuning, and deploying generative AI models. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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