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Day Ai Reviewer Jobs (NOW HIRING)

AI Product Engineer

New York, NY · On-site

$160K - $260K/yr

Our AI AutoCheck reviews permit applications against local building codes, and our AI Community ... days per week) with flexibility to work remotely. ☀ Why GovWell? * A mission that matters:

Translate governance requirements into practical workflows, templates, checklists, and review gates that teams can follow as part of day-to-day AI intake, delivery, and oversight. * Conduct risk ...

Translate governance requirements into practical workflows, templates, checklists, and review gates that teams can follow as part of day-to-day AI intake, delivery, and oversight. * Conduct risk ...

... days is the engineering chops. You'll also contribute to OUTGPT, our internal AI platform built on the Vercel AI SDK and AWS Bedrock. Early on, that means small features and integrations under review.

... days is the engineering chops. You'll also contribute to OUTGPT, our internal AI platform built on the Vercel AI SDK and AWS Bedrock. Early on, that means small features and integrations under review.

About The Opportunity We are seeking detail-oriented human reviewers with a strong understanding of ... Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is ...

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Day Ai Reviewer information

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How much do day ai reviewer jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for day ai reviewer in the United States is $29.88, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $36.54 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Day AI reviewer?

To thrive as a Day AI Reviewer, you need strong analytical skills, attention to detail, and familiarity with AI concepts, typically supported by a degree in computer science or a related field. Proficiency in reviewing AI outputs, using annotation tools, and understanding data labeling systems is essential. Excellent communication, critical thinking, and the ability to provide constructive feedback are standout soft skills for this position. These abilities ensure high-quality AI model evaluation, accurate data annotation, and effective collaboration within AI development teams.

What are some common challenges faced by Day AI reviewers, and how can they be addressed?

Day AI Reviewers often encounter challenges such as maintaining consistency in evaluations, managing large volumes of data, and staying up-to-date with evolving AI guidelines. To overcome these challenges, reviewers typically use detailed checklists, participate in regular team calibration sessions, and attend ongoing training. Collaborating closely with team leads and fellow reviewers helps ensure alignment and continual improvement in review quality.

What is the difference between Day Ai Reviewer vs Content Moderator?

AspectDay Ai ReviewerContent Moderator
Required CredentialsBasic computer skills, attention to detailSimilar, often no formal degree required
Work EnvironmentRemote, flexible hoursRemote or on-site, varies by employer
Industry UsageAI training, data labelingOnline platforms, social media, forums
Job FocusReviewing AI-generated content for accuracyMonitoring and moderating user-generated content

Both roles involve reviewing digital content, but Day Ai Reviewers focus on ensuring AI outputs are accurate, while Content Moderators manage user content to maintain community standards. The roles share similar skills and work environments, often overlapping in online platforms.

What is a Day AI reviewer?

Day AI Reviewers are individuals responsible for assessing the quality, accuracy, and ethical standards of artificial intelligence outputs, particularly those generated by AI models used in various applications. Their role involves reviewing AI-generated content to ensure it meets specific guidelines and does not promote misinformation, bias, or inappropriate material. Day AI Reviewers may work for technology companies, research institutions, or content moderation firms, and their feedback helps improve the performance and reliability of AI systems. This position requires attention to detail, critical thinking, and familiarity with the latest AI technologies.
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What cities are hiring for Day Ai Reviewer jobs? Cities with the most Day Ai Reviewer job openings:
What are the most commonly searched types of Ai Reviewer jobs? The most popular types of Ai Reviewer jobs are:
What states have the most Day Ai Reviewer jobs? States with the most job openings for Day Ai Reviewer jobs include:
What job categories do people searching Day Ai Reviewer jobs look for? The top searched job categories for Day Ai Reviewer jobs are:
Infographic showing various Day Ai Reviewer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $62,159 per year, or $29.9 per hour.

AI Product Engineer

Govwell

New York, NY • On-site

$160K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

About GovWell
We the people - and the taxpayers - deserve good government. Yet today, interacting with government services is often frustrating and inefficient. GovWell is building the AI operating system transforming how governments serve communities, starting with local agencies.
GovWell replaces legacy software for municipalities and counties, empowering public servants to radically streamline public services and cut internal processing time for permits and licenses by up to 95%.
Founded in 2023, GovWell powers 5,000+ mission-critical processes for agencies in 35+ states serving millions of residents. The company has raised $35M in funding from Insight Partners, Work-Bench, and Bienville Capital, and the team works in person at GovWell HQ in New York City. Read more about our founding story in TechCrunch.
Role overview
GovWell already has AI in production doing real work inside government: Our AI AutoCheck reviews permit applications against local building codes, and our AI Community Assistant automatically answers resident and staff questions about permitting and licensing. Both are live, both are improving fast, and both are still early enough that the engineers who join this team now will define the kind of impact that AI can have at GovWell.
GovWell is hiring AI Product Engineers to grow our AI product line beyond AutoCheck and the AI Community Assistant. You'll work across both existing products - closing reliability gaps and expanding their coverage - while helping define what AI-powered government software looks like next. The two products we've shipped are the beginning of a much larger surface area, not the ceiling.
We have a hybrid work culture that combines regular in-person collaboration at our New York City office (3+ days per week) with flexibility to work remotely.
☀ Why GovWell?
  • A mission that matters: Building AI-powered products to fix outdated government systems isn't just a technical challenge-it's a historic opportunity to improve our foundational relationship with government and ensure trillions of tax dollars result in high quality services. WATCH: Mission & Vision with CEO & Co-Founder Troy LeCaire
  • Real-world impact: GovWell's product is the system of record for government services that affect millions of Americans. From streamlining permitting for small businesses to accelerating affordable housing development, your work will make an immediate difference.
  • Join a startup in hyper-growth: We've found product-market fit and are scaling the business very quickly (6X ARR growth in the last year). As an early team member, you'll learn what it takes to build a successful startup. You'll work closely with the founders while enjoying exceptional autonomy and ownership over your work.

What you'll do
  • Expand AI AutoCheck's coverage and accuracy - last quarter it addressed nearly thousands of applications across 100+ customers with a 4.4/5 govstaff satisfaction score. Closing the gap between "good today" and "reviewers trust it completely" is real, immediate work.
  • Improve AI Community Assistant's retrieval grounding and evaluation infrastructure so its answers hold up as we expand to more jurisdictions, more languages, and more question types.
  • Use real production usage data - not synthetic benchmarks - to decide what to fix next; both products already have paying customers depending on the answers being right.
  • Explore what comes after AutoCheck and AI Community Assistant. Nothing here is locked in, and you'll have real input into what gets built next rather than executing a roadmap someone else already wrote.
  • Ship to production quickly and iterate based on what actually happens once real government staff and residents use it.

Who you are
  • You've built with LLMs beyond prompt-wrapping - retrieval-augmented generation, evaluation harnesses, or reliability/hallucination mitigation in a system real users depended on.
  • You know the difference between a demo that impresses in a meeting and a system reliable enough that a government reviewer will actually trust its output - and you're energized by closing that gap, not just building the demo.
  • You're comfortable owning ambiguity: there's no existing playbook for "AI reviewer for municipal permitting," and part of the job is writing it as you go.
  • You have real product judgment - you can help decide what GovWell's AI surface area looks like next, not just implement a spec.
  • Strong full-stack ability: you're shipping UI, API, and the retrieval/model infrastructure underneath it, not working purely in a notebook.
  • Values-aligned: you embody our Core Values.

Our tech stack
  • RedwoodJS
  • React
  • TypeScript
  • Node.js
  • GraphQL
  • PostgreSQL
  • AWS

Our AI Stack
  • Custom evaluation harness for hallucination detection and answer-quality scoring, tracked against explicit pass-rate targets
  • Jurisdiction-aware retrieval - every municipality's codes, ordinances, and review standards are configured and grounded per-customer, not a single shared knowledge base
  • Multi-model orchestration across Google Gemini and OpenAI, routed by task

Compensation and benefits
Compensation within the posted salary band will be commensurate with experience. All offers will include:
  • Competitive base salary.
  • Equity / stock options.
  • Medical, dental, and vision insurance.
  • 401(k) program.
  • Flexible PTO.

→ Click here to meet the engineering team
Below: a picture of the entire GovWell team celebrating our Series A with a boat cruise on the Hudson!
#LI-AC1