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Operations Scheduler Remote Jobs in Utah (NOW HIRING)

Affirm

Revenue Operations Lead

Salt Lake City, UT · On-site +1

$88K - $128K/yr

The majority of our roles are remote and you can work almost anywhere within the country of ... holiday schedules allowing you to take time off to rest and recharge ESPP - An employee stock ...

Cache Ventures

Head of Operations

Salt Lake City, UT · Remote

Fully remote: globally distributed, optimized for deep work and autonomy * Competitive base ... Family-friendly: paid parental leave, flexible schedules * Mental health & wellness support If you ...

Cache Ventures

VP of Operations

Salt Lake City, UT · Remote

Energized by growth Benefits Fully Remote Work Work from anywhere. We're a globally distributed ... Flexible schedules * Real understanding of life outside work Mental Health & Wellness Support We ...

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What is the difference between Operations Scheduler Remote vs Operations Coordinator?

AspectOperations Scheduler RemoteOperations Coordinator
CredentialsTypically requires scheduling, administrative, or industry-specific certificationsOften requires similar certifications, with additional project management or communication skills
Work EnvironmentRemote, primarily computer-based, flexible hoursUsually office-based or hybrid, with some remote options
Employer & Industry UsageCommon in logistics, manufacturing, healthcare, and service industriesWidely used across various industries including retail, healthcare, and logistics

Both roles involve coordinating schedules and resources, but Operations Scheduler Remote focuses on planning and scheduling tasks remotely, while Operations Coordinator often handles broader operational tasks, sometimes onsite. The roles share similar credentials and industry usage, with the main difference being the remote versus onsite work environment.

What are popular job titles related to Operations Scheduler Remote jobs in Utah? For Operations Scheduler Remote jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Operations Scheduler Remote jobs in Utah look for? The top searched job categories for Operations Scheduler Remote jobs in Utah are:
What cities in Utah are hiring for Operations Scheduler Remote jobs? Cities in Utah with the most Operations Scheduler Remote job openings:
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Infographic showing various Operations Scheduler Remote job openings in Utah as of May 2026, with employment types broken down into 11% Full Time, 72% Part Time, and 17% Contract. Highlights an 84% Physical, and 16% Remote job distribution.
Operations Research Analyst - AI Trainer

Operations Research Analyst - AI Trainer

DataAnnotation

Salt Lake City, UT • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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