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Overnight Ai Data Rater Jobs in Utah (NOW HIRING)

Brex

Manager, CX AI Strategy

Salt Lake City, UT · On-site

Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks ... rates, and coaching effectiveness. Close the loop between data and iteration. Cross-functional ...

Carv

Engineering Manager

Park City, UT · On-site

We combine AI, real-time feedback, and sensor-driven data to help skiers improve faster and enjoy ... At Carv, quality means more than clean code and low crash rates. Our product has to work on snow ...

Filevine

Sales Performance Data Analyst

Salt Lake City, UT · On-site

$80K - $100K/yr

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work ... SaaS Sales Metrics - Solid working knowledge of key SaaS sales KPIs: quota attainment, win rate ...

Varsity Tutors

Data Analysis Tutor

Provo, UT · Remote

$18 - $40/hr

... schedule, earn competitive rates, and make a real impact on students' academic success and ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Data Analysis Tutor

Logan, UT · Remote

$18 - $40/hr

... schedule, earn competitive rates, and make a real impact on students' academic success and ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Data Science Tutor

Provo, UT · Remote

$18 - $40/hr

... schedule, earn competitive rates, and make a real impact on students' academic success and ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Data Science Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

... schedule, earn competitive rates, and make a real impact on students' academic success and ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Data Science Tutor

Cedar City, UT · Remote

$18 - $40/hr

... schedule, earn competitive rates, and make a real impact on students' academic success and ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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Overnight Ai Data Rater information

What is an Overnight AI Data Rater?

Overnight AI Data Raters are individuals who work outside of regular business hours to evaluate and label data used to train artificial intelligence systems. Their main responsibilities include reviewing text, images, audio, or video content and providing accurate assessments or categorizations according to specific guidelines. This work is crucial in ensuring AI models can learn from high-quality and unbiased data. Typically, these roles are remote and may require attention to detail, consistency, and adherence to data privacy standards.

What is the difference between Overnight Ai Data Rater vs Data Annotator?

AspectOvernight Ai Data RaterData Annotator
CredentialsBasic computer skills, sometimes high school diplomaBasic computer skills, sometimes high school diploma
Work EnvironmentRemote, flexible hours, often overnight shiftsRemote or on-site, flexible or regular hours
Industry UsageAI training data, machine learning modelsData labeling, training datasets for AI
Job FocusReviewing and rating data for AI modelsLabeling and annotating data for AI training

Both Overnight Ai Data Raters and Data Annotators work in AI data preparation, often remotely, with similar entry-level requirements. The key difference is that Overnight Ai Data Raters primarily review and rate data, often during overnight shifts, while Data Annotators focus on labeling and annotating data to create training datasets. Understanding these distinctions helps job seekers find roles aligned with their skills and preferred work hours.

What are the key skills and qualifications needed to thrive as an Overnight AI Data Rater?

To thrive as an Overnight AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in following complex guidelines, usually supported by at least a high school diploma or equivalent. Familiarity with data labeling tools, web browsers, and sometimes proprietary platforms is important, as well as the ability to quickly adapt to evolving AI systems. Excellent time management, self-motivation, and clear written communication help individuals excel in this often-remote, independent role. These skills ensure accurate data evaluation, which is crucial for improving AI systems and maintaining quality standards during off-peak hours.

What are some common challenges faced by Overnight AI Data Raters, and how can they be managed?

Overnight AI Data Raters often encounter challenges such as maintaining focus during late-night shifts and accurately evaluating large volumes of data within tight deadlines. Managing these challenges involves establishing a consistent sleep schedule, taking regular breaks to avoid fatigue, and using productivity tools to track progress. Collaborating with team members via chat platforms can also help resolve uncertainties in data interpretation, ensuring high-quality work even during less supervised hours.

What are the most commonly searched types of Ai Data Rater jobs in Utah?

The most popular types of Ai Data Rater jobs in Utah are:

What cities in Utah are hiring for Overnight Ai Data Rater jobs?

Cities in Utah with the most Overnight Ai Data Rater job openings:

Overnight Ai Data Rater jobs near you
Infographic showing various Overnight Ai Data Rater job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Manager, CX AI Strategy

Brex

Salt Lake City, UT • On-site

Full-time

Re-posted 15 days ago

Job description

Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Customer Experience at Brex
The Customer Experience team is the connective tissue between Brex's product and the companies that depend on it every day. We don't just resolve issues - we surface insights, close feedback loops, and help shape the product roadmap. As Brex becomes an AI-native company, our CX organization leads that shift: building the systems, metrics, and workflows that let AI handle routine complexity while humans focus on judgment and relationships. We measure success not by tickets closed, but by customers who don't need to contact us in the first place.
What you'll do
Brex is looking for an experienced AI operator & leader to own the strategy and execution of AI-powered customer experience. You'll lead the team responsible for Brex's AI customer service platform - optimizing instruction sets, driving quality, and expanding AI across chat, voice, and email. You'll also own the internal side of the equation: building and deploying AI-powered tools that give Brex's CX team a measurable productivity edge - from agent-assist and real-time guidance to QA automation and workflow tooling. You'll own the metrics that matter on both sides, define what "great" looks like for AI performance, and partner with Product and Engineering to shape the roadmap. This is not a research or strategy-deck role. You'll build, ship, and iterate on systems that make Brex's CX the best support on the planet - and lead the team that makes it happen.
Where you'll work
This role will be based in our Salt Lake City office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
Customer-facing
  • Lead the CX Strategy team, setting direction, developing team members, and aligning priorities to CX and company goals.
  • Collaborate with CX leaders to drive performance metrics: resolution rate, CSAT, quality, resolution time, escalation rates, etc. Monitor the results and drive improvement when targets aren't met.
  • Own the CX AI roadmap from opportunity discovery through implementation - prioritize where AI can improve efficiency and customer experience, and sequence investments that compound over time.
  • Collaborate with Systems and Engineering to drive CX AI performance - instruction set optimization, channel expansion (chat, voice, email), containment quality, and escalation handling, etc.

Internal AI tools & team productivity
  • Define the standard for what an AI-augmented CX team looks like at Brex: how AI agents and human operators divide and conquer, where handoffs happen, and how to maintain customer experience quality as automation scales.
  • Own the development and deployment of internal AI tools that make Brex's CX team faster, more accurate, and more consistent - including agent-assist tooling, real-time guidance systems, QA automation, and workflow-level automations.
  • Partner with Engineering, Data, and Product Ops to build and maintain the AI infrastructure underneath these tools - knowledge reliability, shared workflows, and feedback loops that improve both customer-facing and internal AI systems over time.
  • Measure internal AI adoption and impact: track agent productivity, time-to-resolution improvements, QA automation rates, and coaching effectiveness. Close the loop between data and iteration.

Cross-functional & leadership
  • Partner cross-functionally with CX Leadership, Strategy & Enablement, Product, Engineering, and Data to scope, build, and launch AI improvements. Represent CX in EPD conversations with a point of view grounded in customer outcomes and operational metrics.
  • Drive internal AI adoption - ensure the CX team is equipped with the training, workflows, and confidence to work alongside AI effectively.
  • Communicate AI performance and strategy to CX leadership and executive stakeholders; translate data into clear narratives that drive decisions.

Requirements
  • 4+ years in CX strategy, AI operations, product operations, or a related function at the intersection of technology and customer experience - ideally in a fast-paced tech or fintech environment
  • 1+ years managing or developing a team of 4+ ICs, with a track record of setting direction, developing people, and delivering results
  • Proven experience owning and improving AI or automation initiatives in a support environment - from opportunity analysis through rollout and iteration, with measurable outcomes
  • Product-minded builder: equally comfortable writing a requirements doc, configuring a platform, and partnering with Engineering to ship something net-new. You don't wait for a product team to build what your customers need
  • Strong analytical skills: comfortable digging into conversation data, contact driver analysis, and AI performance metrics to turn raw signal into smart decisions
  • Technical fluency with AI-enabled CX platforms and the ability to ship directly or partner confidently with Engineering and Product to make automation work at scale
  • Clear, direct communicator - you write with precision, translate between technical and non-technical audiences, and know how to make a data story land with leadership
  • Proven cross-functional collaboration skills - you've worked across CX, Product, Engineering, and Data to drive customer-centric improvements

Bonus Points
  • Hands-on experience with Sierra or comparable AI voice/chat/email platforms in a customer-facing environment
  • Background in fintech, financial services, or enterprise SaaS
  • Experience building or owning QA and eval frameworks for AI systems
  • Experience building internal productivity tooling or agent-assist systems - whether through third-party configuration, prompt engineering, or partnering with Engineering to ship net-new tools
  • Familiarity with product knowledge infrastructure - how content is structured, maintained, and surfaced to AI systems at scale
  • Experience translating AI operational learnings into product feedback that influenced roadmap decisions

Compensation
The expected salary range for this role is $125,600 - $157,000. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

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