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Asynchronous Ai Writing Evaluator Jobs in Riverside, CA

Sr. AI Agent / Prompt Engineer

Irvine, CA ยท On-site

$132K - $204K/yr

This role goes beyond prompt writing and owns agent behavior end to end, including prompt systems ... evaluation, and reliability in real business workflows. This role will operate independently ...

Write high-quality, maintainable, secure, and testable code. * Collaborate with product managers ... AI evaluation methodologies. * APIs & Backend Development: REST APIs, Microservices, JSON/XML ...

Write high-quality, maintainable, secure, and testable code. * Collaborate with product managers ... AI evaluation methodologies. * APIs & Backend Development: REST APIs, Microservices, JSON/XML ...

Write high-quality, maintainable, secure, and testable code. * Collaborate with product managers ... AI evaluation methodologies. * APIs & Backend Development: REST APIs, Microservices, JSON/XML ...

The ideal candidate will excel in technical report writing and will be working in a contained ... evaluating candidates. AI helps assess applications and qualifications, but final decisions are ...

The ideal candidate will excel in technical report writing and will be working in a contained ... evaluating candidates. AI helps assess applications and qualifications, but final decisions are ...

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Asynchronous Ai Writing Evaluator information

See Riverside, CA salary details

$30.8K

$68.3K

$111.1K

How much do asynchronous ai writing evaluator jobs pay per year?

As of Aug 2, 2026, the average yearly pay for asynchronous ai writing evaluator in Riverside, CA is $68,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $82,900.00 per year, depending on experience, location, and employer.

What are Asynchronous AI Writing Evaluators?

Asynchronous AI Writing Evaluators are professionals who assess and review written content generated by artificial intelligence systems, such as essays or articles, without needing to do so in real-time. They typically work remotely, providing feedback on grammar, coherence, relevance, and overall writing quality to help improve AI models or ensure that AI-generated content meets certain standards. Their evaluations contribute to refining AI writing tools, making them more accurate and reliable for end users. Asynchronous evaluators work on their own schedules, reviewing assignments as they are available rather than during live sessions.

What are the most common challenges faced by an Asynchronous AI Writing Evaluator, and how can they be managed effectively?

As an Asynchronous AI Writing Evaluator, one of the main challenges is maintaining consistency and objectivity across large volumes of varied writing samples, often reviewed independently without real-time peer interaction. Managing time efficiently and developing a clear understanding of evaluation rubrics are essential for providing accurate and constructive feedback. Regular communication with team leads and participating in calibration sessions can help align expectations and address ambiguities, ensuring high-quality evaluations. Additionally, being proactive about seeking clarification and utilizing available support resources can greatly enhance both accuracy and job satisfaction.

What are the key skills and qualifications needed to thrive as an Asynchronous AI Writing Evaluator, and why are they important?

To thrive as an Asynchronous AI Writing Evaluator, you need a strong command of written language, critical analysis, and attention to detail, usually supported by a background in English, linguistics, or education. Familiarity with digital evaluation platforms, AI annotation tools, and proficiency in using online collaboration systems are typically required. Excellent time management, clear communication, and adaptability to evolving guidelines make someone stand out in this position. These skills are essential to ensure accurate, consistent, and constructive feedback that improves AI writing models and supports quality assurance.

How much do AI model evaluators make?

AI model evaluators typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the tasks. Many roles are freelance or remote, requiring skills in data annotation, machine learning, or natural language processing.

What does an AI writing evaluator do?

An AI writing evaluator reviews and assesses written content generated by artificial intelligence or written by humans to ensure quality, accuracy, and coherence. The role often involves using specialized tools and understanding natural language processing to provide feedback or scores that help improve writing performance or AI models. Strong analytical skills and familiarity with language models are typically required for this position.

How do I get into AI with no experience?

To become an Asynchronous AI Writing Evaluator, gaining basic knowledge of AI concepts, natural language processing, and writing skills is helpful. You can start with online courses, tutorials, or certifications in AI and machine learning, and develop familiarity with relevant tools and platforms. Entry-level roles often require strong communication skills and the ability to learn quickly in a remote or flexible environment.

What is the difference between Asynchronous Ai Writing Evaluator vs Content Moderator?

AspectAsynchronous Ai Writing EvaluatorContent Moderator
Required CredentialsTypically requires a degree in English, Communications, or related field; familiarity with AI toolsOften requires high school diploma or equivalent; training in content policies
Work EnvironmentRemote, independent work analyzing AI-generated writingRemote or on-site, reviewing user-generated content for compliance
Employer & Industry UsageUsed by educational platforms, AI companies, and e-learning providersEmployed by social media, online forums, and content-sharing platforms

While both roles involve reviewing digital content, the Asynchronous Ai Writing Evaluator focuses on assessing AI-generated writing for quality and accuracy, often working independently and with AI tools. Content Moderators primarily review user-generated content to ensure compliance with community standards. Both roles require attention to detail but serve different purposes within the digital content ecosystem.

Which 5 jobs will survive AI?

As an Asynchronous AI Writing Evaluator, jobs that require complex human judgment, emotional intelligence, creativity, and interpersonal skills are likely to persist. These include roles such as healthcare professionals, educators, creative writers, therapists, and skilled tradespeople. While AI can assist in many tasks, these jobs rely on nuanced understanding and empathy that AI cannot fully replicate.
What are popular job titles related to Asynchronous Ai Writing Evaluator jobs in Riverside, CA? For Asynchronous Ai Writing Evaluator jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Asynchronous Ai Writing Evaluator jobs in Riverside, CA look for? The top searched job categories for Asynchronous Ai Writing Evaluator jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Asynchronous Ai Writing Evaluator jobs? Cities near Riverside, CA with the most Asynchronous Ai Writing Evaluator job openings:

Technical Product Owner - AI

Mutual of Omaha Mortgage

Irvine, CA โ€ข On-site

$125K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Technical Product Owner - AI
Location: Location: Hybrid - Irvine, CA
Mutual of Omaha is a Fortune 300 Company. Mutual of Omaha Mortgage is inspired by hometown values and a commitment to being responsible and caring for each other. We exist for the benefit of our customers and employees.
Mutual of Omaha Mortgage is a full-service lending company offering both Forward and Reverse Mortgage products including a complete line of residential mortgage, refinancing, specialty, and HECM loans. We employ a knowledgeable staff of experienced Loan Officers with an operations team that is second to none. If you are interested in joining a team that promotes from within and works together toward a common goal of helping customers with their mortgage needs, please review and apply for our opening below!
Mutual of Omaha Mortgage is hiring a Technical Product Owner - AI to own the performance and lifecycle of our AI products. This is a hands-on, technical role for someone who can take AI products from 0-to-1: scoping the problem, shaping prompts, partnering with engineering and data, instrumenting outcomes, and driving measurable lift on conversion, containment, and customer experience metrics. You will sit on the AI Initiatives team and own a portfolio that spans voice and SMS AI agents, agent-assist tooling, and the data and observability foundation that keeps them performant.
Roles & Responsibilities:
  • Define, instrument, and report on KPIs for each AI product - including containment rate, goal completion, AI resolution rate, conversion, drop-off, and revenue attribution
  • Run weekly performance reviews on live AI products; identify regressions, root-cause them across prompt, model, data, and integration layers, and drive fixes to closure
  • Build and maintain QA sampling frameworks and call/conversation review processes; turn qualitative findings into prompt and flow changes
  • Take new AI use cases from concept to production: write the PRD, define success metrics, scope the MVP, partner with engineering and vendors on build, and lead the launch
  • Run structured POCs (typically 30-90 days) with clear hypotheses, evaluation rubrics, and go/no-go criteria
  • Own vendor evaluations end-to-end - requirements, scoring, reference checks, contract input, and onboarding through the EVMP and AI governance processes
  • Author, version, and tune prompts for voice agents, SMS agents, and assistive AI tools across the customer and loan officer journeys
  • Design and run prompt evaluations: build eval sets from real conversations, score outputs against rubrics, and iterate systematically rather than anecdotally
  • Translate operational requirements (compliance disclosures, escalation rules, brand voice, edge cases) into prompts, tools, and guardrails the model will actually follow
  • Write production-quality SQL against Databricks, Salesforce, Encompass, and call/conversation log sources to investigate performance, build dashboards, and answer ad-hoc questions
  • Partner with data engineering on the schemas, pipelines, and event tracking needed to measure AI product performance
  • Read API documentation, debug integrations, and reason about call flows, webhooks, and tool-use patterns at a level where you can have a substantive conversation with engineers
  • Serve as the single point of accountability for assigned AI products: align stakeholders across Sales, Operations, Compliance, Legal, and Engineering
  • Contribute to AI governance reviews and ensure products meet NIST AI RMF expectations and applicable state AI law requirements

Required Qualifications:
  • 5+ years in technical product management, product ownership, or a comparable applied AI/ML product role, including direct ownership of a production AI or ML product's performance metrics
  • Demonstrated 0-to-1 experience - you have shipped at least one product from blank-page concept to live, measured users, and can speak credibly about what worked, what failed, and why
  • Hands-on prompt engineering - you have written, evaluated, and iterated on production prompts for LLM-based products (chat, voice, SMS, agent-assist, or similar)
  • Strong SQL - comfortable writing multi-table joins, window functions, and CTEs without help; can pull and analyze your own data on Databricks, SQL Server, or equivalent
  • Data fluency - comfortable with funnels, cohort analysis, and basic statistical reasoning; able to build a dashboard or explanatory chart yourself
  • Technical literacy - you can read REST API docs, trace a webhook, and discuss system design with engineers without needing translation
  • Operating rigor - strong written communication, structured PRDs, clear success criteria, and a track record of holding yourself and your partners to measurable outcomes
  • Salesforce experience - hands-on experience working with Salesforce as a product owner, admin, or power user; comfortable with objects, flows, reports, and SOQL
  • Mortgage industry experience - direct experience with mortgage operations, loan origination, or servicing (HECM/reverse, forward, or related)

Preferred Qualifications:
  • Experience with conversational AI platforms (Bland AI, ElevenLabs, Twilio, Five9, or similar) and contact center architecture
  • Startup or early-stage product experience - comfort operating in ambiguity, building from scratch, and moving fast without heavy process
  • Familiarity with Databricks and the Lakehouse/Medallion data architecture pattern
  • Familiarity with NIST AI RMF and U.S. state AI law landscape (Colorado, Texas, California, Utah)

The salary range for this position is $125,000-$145,000 annually.
Mutual of Omaha Mortgage is an Equal Opportunity Employer, and we encourage diverse, talented, qualified applicants to apply. We offer an extensive compensation package. Benefits include:
  • Vacation - Vacation hours accrue on a per pay period basis. Balance maximums are based on years of service.
  • Paid Sick Time - 40 hours of paid sick time after 90 days of employment. State sick time requirements will be added as needed.
  • 9 Paid Holidays + 1 Cultural Celebration Day (Floating Holiday)
  • Multiple PPO Medical Plans, as well as HDHP eligible plan.
  • Dental Coverage
  • Vision Coverage
  • Company Paid Life Insurance
  • 401K with a generous employer match
  • Additional Benefits including - Optional Life, FSA, Pet Insurance etc.
  • Free Legal Services
  • Employee Loan Program