Top 54 Physics Jobs in Payson, Ut

Cognitive Scientist - AI Trainer
DataAnnotation —Provo, UT
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Senior Data Scientist - AI Trainer
DataAnnotation —Utah
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- 3 years
- Flexible schedule
Quick Apply
13d
Physics and Astronomy Academic Programs Manager
Brigham Young University —Provo, UT
- $22.50 - $29.25 an hour
- Full-time
- Mid-level
- Office
- Analysis skills
- Free parking
- Wellness program
3d
Manufacturing Engineer
Waters Corporation —Lindon, UT
- $76,000 - $126,500 a year
- CAD
- Engineering
- Mid-level
Adjunct Teaching - Physics & Astronomy - Physics Demonstration Courses
Brigham Young University —Provo, UT
- Part-time
- Laboratory
- Engineering
- Mid-level
Science
Alpine School District —American Fork, UT
- Full-time
- Classroom
- Experience working with individuals with disabilities
- Mid-level
5d
Faculty Lead & Learning Engineer - Sciences
Outsmart —Lehi, UT
- Full-time
- Hybrid work
- Office
- University
- Continuous improvement
- Paid holidays
- Health insurance
Quick Apply
Affiliate Faculty - Chemistry - CryoEM (Jensen Lab) (no salary position)
Brigham Young University —Provo, UT
- Part-time
- University
- Doctor of Philosophy
- Senior level
6d
Adjunct Teaching - Electrical & Computer Engineering - ECEn 380 Laboratory, Signals and Systems
Brigham Young University —Provo, UT
- Part-time
- Laboratory
- Classroom
- Mid-level
Affiliate Faculty - Physics & Astronomy - Kent Gee Lab (no salary)
Brigham Young University —Provo, UT
- Part-time
- Mid-level
- Analysis skills
- University
Affiliate Faculty - Chemistry - Linford Lab (no salary)
Brigham Young University —Provo, UT
- Part-time
- Analysis skills
- University
- Doctor of Philosophy
Application Engineer (RF Test)
Keysight Technologies, Inc. —Pleasant Grove, UT
- $78,520 - $130,870 a year
- Full-time
- Windows
- Travel
- Senior level
- Health savings account
- Employee stock purchase plan
Senior Data Scientist - AI Trainer
DataAnnotation —Provo, UT
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
10d
Quantitative Analyst - AI Trainer
DataAnnotation —Provo, UT
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
10d
Adjunct Researcher - Physics & Astronomy - Rob Davis Research Lab
Brigham Young University —Provo, UT
- Part-time
- Management
- Mid-level
- Master's degree
Sr. Director of Mentoring & Student Success – High School Science Teachers Wanted (STEM)
Altius Test Prep —Provo, UT
- Full-time
- High school
- Writing skills
- Teaching Certification
- Profit sharing
- Health insurance
Quick Apply
Adjunct Teaching - Electrical and Computer Engineering - Cybersecurity Capstone Instructor
Brigham Young University —Provo, UT
- Part-time
- Computer Science
- Bachelor of Science
- Engineering
Mechanical Subject Matter Expert, Data Center Environmental Systems
Meta —Eagle Mountain, UT
- $114,000 - $168,000 a year
- 6 years
- Fair chance
- Senior level
Adjunct Teaching - Mechanical or Manufacturing Engineering - Capstone Coach
Brigham Young University —Provo, UT
- Part-time
- Computer Science
- Bachelor of Science
- Engineering
Senior Learning Designer, Science
Outsmart —Lehi, UT
- $100,000 - $170,000 a year
- Full-time
- Hybrid work
- Office
- Math
- Continuous improvement
- Paid holidays
- Health insurance
Quick Apply

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Cognitive Scientist - AI Trainer

DataAnnotation -
Provo, UT

Quick Apply

Job Details

Part-time | Full-time | Contract
$50 - $100 an hour

Benefits

Flexible schedule

Qualifications

Software coding
Design of experiments
English
Providing code feedback

Full Job Description

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing Cognitive Scientist - AI Trainer to help train AI models. 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.

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. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

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.

Advantages of contracting with us:

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, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
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:

3+ 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 preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (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.

Quick Apply

Refine Your Search

physics jobs in payson, ut

Cognitive Scientist - AI Trainer

Senior Data Scientist - AI Trainer

Physics and Astronomy Academic Programs Manager

Manufacturing Engineer

Adjunct Teaching - Physics & Astronomy - Physics Demonstration Courses

Science

Faculty Lead & Learning Engineer - Sciences

Affiliate Faculty - Chemistry - CryoEM (Jensen Lab) (no salary position)

Adjunct Teaching - Electrical & Computer Engineering - ECEn 380 Laboratory, Signals and Systems

Affiliate Faculty - Physics & Astronomy - Kent Gee Lab (no salary)

Affiliate Faculty - Chemistry - Linford Lab (no salary)

Application Engineer (RF Test)

Senior Data Scientist - AI Trainer

Quantitative Analyst - AI Trainer

Adjunct Researcher - Physics & Astronomy - Rob Davis Research Lab

Sr. Director of Mentoring & Student Success – High School Science Teachers Wanted (STEM)

Adjunct Teaching - Electrical and Computer Engineering - Cybersecurity Capstone Instructor

Mechanical Subject Matter Expert, Data Center Environmental Systems

Adjunct Teaching - Mechanical or Manufacturing Engineering - Capstone Coach

Senior Learning Designer, Science

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