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Live In Rws Ai Jobs (NOW HIRING)

DEEPREC.AI

Staff Engineer - Agentic AI

San Francisco, CA · On-site

$200K - $270K/yr

Staff Agentic AI Engineer / AI Engineer $200,000 - $270,000 San Francisco, CA Onsite, 5x per week ... The agent is live, in production, handling real workflows for Tesla, BMW, Meta, and Amazon. You'll ...

Broccoli AI

Head of AI Success

San Francisco, CA · On-site

$200K - $300K/yr

You live in metrics: NDR, churn, expansion, usage * You turn messy data into clear actions AI-native * You instinctively automate workflows using tools like Claude * You think leverage first ...

Broccoli AI

Head of AI Success

San Francisco, CA · On-site

You live in metrics: NDR, churn, expansion, usage * You turn messy data into clear actions AI-native * You instinctively automate workflows using tools like Claude * You think leverage first ...

Belva.ai

AI/ML Engineer

Bellevue, WA · On-site

Must be a Citizen or Green Card Holder and live in the United States * B.S. in Computer Science or equivalent experience * 2+ years of professional experience as an AI / ML Engineer. * Excellent ...

Besimple AI

Strategic Projects Lead -- Audio Data

$53 - $71.75/hr

Qualifications : Required : • 3-7+ years of experience in data operations, AI data delivery ... RWS, TransPerfect DataForce, Welocalize, Lilt, Turing, DataAnnotation, Outlier, Remotasks, or ...

CSA Group

Be Seen First

Junior AI Agent Developer

San Juan, PR · Remote

$68K - $89K/yr

... live in. This translates into active involvement in a variety of activities and organizations ... Follow AI governance standards, including documentation, validation, and reusability practices.

Tenex.AI Inc

AI Enablement Engineer

San Jose, CA · On-site

Candidates must live in or be willing to relocate to one of these three cities. Job Responsibilities * Build and evolve TENEX's internal AI platform: a reusable foundation of tools, custom skills ...

Siena AI

Product Manager

New York, NY · On-site

AI-native mindset-you live in Claude, Cursor, v0, and often max out your daily LLM limits * Technical fluency-you can scope webhook systems, OAuth flows, and complex integrations * Builder mentality ...

Sedric.ai

Growth Marketing Specialist

Manhattan, NY · On-site +1

$95K - $115K/yr

Strong command of AI tools for content, creative, and workflow automation. You'd rather ship 10 versions than perfect 1. * Shipper. You can take a campaign from idea to live in days, not weeks. You ...

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All JobsLive In Rws Ai Jobs

Live In Rws Ai information

See salary details

$62K

$119.8K

$166K

How much do live in rws ai jobs pay per year?

As of Jun 30, 2026, the average yearly pay for live in rws ai in the United States is $119,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $138,500.00 per year, depending on experience, location, and employer.

Does RWS offer remote work options?

For the Live In RWS AI role, remote work options are typically not available as the position requires on-site presence to manage live AI systems and collaborate with team members. However, some related roles or tasks may offer flexible or hybrid arrangements depending on the company's policies. It is recommended to check the specific job listing or contact RWS directly for detailed information.

What is the difference between Live In Rws Ai vs Live In Rws Caregiver?

AspectLive In Rws AiLive In Rws Caregiver
Required CredentialsBasic caregiving certification, first aidCaregiver certification, CPR, background check
Work EnvironmentAssisting elderly or disabled in private homesProviding personal care and support in private homes
Employer & IndustryHealthcare and eldercare industryHome care services, eldercare industry

Live In Rws Ai and Live In Rws Caregiver roles both involve providing in-home support to clients. However, Live In Rws Ai typically requires less specialized certification and focuses on assisting with daily activities, while Live In Rws Caregiver often demands formal caregiving credentials and a broader scope of personal care tasks. Both roles are integral to the eldercare industry and share similar work environments.

Is RWS Train AI a legit company?

RWS Train AI is a program related to artificial intelligence training and data annotation, often associated with companies that provide AI development services. It is important to verify the specific employer or platform offering the role to ensure legitimacy, as some opportunities may be scams or require careful research. Always review official company websites and trusted job boards before applying.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, often involving advanced skills in machine learning, data analysis, and programming. Such roles are usually found in senior or executive levels, requiring extensive experience and expertise in AI technologies and tools like Python, TensorFlow, or cloud platforms.

How much does RWS pay?

The pay for a Live In RWS AI role varies depending on location, experience, and specific responsibilities. Typically, such positions offer hourly wages or a fixed salary aligned with industry standards for AI and language services, often including benefits and accommodations. Exact compensation details are usually provided during the hiring process or in the job listing.
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Live In Rws Ai jobs near you
Infographic showing various Live In Rws Ai job openings in the United States as of June 2026, with employment types broken down into 18% Part Time, 9% Temporary, and 73% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $119,772 per year, or $57.6 per hour.

Staff Engineer - Agentic AI

DEEPREC.AI

San Francisco, CA • On-site

$200K - $270K/yr

Full-time

Posted 19 days ago

Key responsibilities

  • Own the agent intelligence layer that interprets engineer intent and executes tasks across complex desktop software.

  • Lead the development and improvement of evals infrastructure and agent benchmarking for performance measurement.

  • Make architecture decisions including tool-calling strategy, state management, context handling, model routing, and error recovery.

Job description

Staff Agentic AI Engineer / AI Engineer
$200,000 - $270,000
San Francisco, CA
Onsite, 5x per week in office
Full time / Permanent
Most "agentic AI" roles are still research projects dressed up as products.
This one isn't. The agent is live, in production, handling real workflows for Tesla, BMW, Meta, and Amazon. You'll be in the codebase from day one, improving an agent that's already shipping, not starting from a blank page.
This company builds AI-powered automation for mechanical engineers - Claude Code for CAD, CAE, and PLM workflows. $32M raised, backed by Eric Schmidt and early investors in Anthropic and OpenAI. Over 1,000 customers running production workflows on the platform.
They're hiring a Staff Engineer to own the agent intelligence layer, the system that takes an engineer's intent and executes it reliably across complex desktop software.
What you'd own:
  • Evals infrastructure and agent benchmarking - defining what "good" looks like for a domain with no established benchmark
  • Agent harness build-out and ongoing performance improvement (task success rate, token efficiency, workflow coverage)
  • Architecture decisions: tool-calling strategy, state management, context handling, model routing, error recovery
  • Technical leadership of a small team of AI engineers - player-coach, not pure manager

The profile they're looking for:
  • Proven expertise building agentic systems into production. Systems that take real actions - tool-calling, multi-step state, failure handling, cost constraints. Ideally 2 years
  • Strong on evals: task completion, failure mode analysis, regression detection
  • Production-first mindset - you'd rather ship 70% coverage reliably than demo a clever system you can't measure
  • Builders over researchers. Too much academic background is a flag here

Desktop automation experience is nice-to-have. Mechanical engineering background is nice-to-have. Experience taking agentic systems into production is the bar.

Apply