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Hourly Remote Data Annotation Jobs in Fargo, ND (NOW HIRING)

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Hourly Remote Data Annotation information

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.

What are the key skills and qualifications needed to thrive as an hourly remote data annotation specialist?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What are popular job titles related to Hourly Remote Data Annotation jobs in Fargo, ND?

For Hourly Remote Data Annotation jobs in Fargo, ND, the most frequently searched job titles are:

What job categories do people searching Hourly Remote Data Annotation jobs in Fargo, ND look for?

The top searched job categories for Hourly Remote Data Annotation jobs in Fargo, ND are:

Infographic showing various Hourly Remote Data Annotation job openings in Fargo, ND as of September 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% Remote job distribution.

Strategic Student Program: Digital Thread & Systems Engineering Internship (Spring 2027, GSCS)

Fargo, ND • Remote

Siemens
Machinery Manufacturing • 10K+ employees

$18 - $50/hr

Full-time, Internship

Retirement

Posted 5 days ago


Siemens rating

7.7

Company rating: 7.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

271st of 454 rated engineering


Job description

Siemens Digital Industries Software

Strategic Student Program (SSP)

Discover your career with us at Siemens Digital Industries Software!

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.

We're currently recruiting co-ops and interns for our Spring 2027 Strategic Student Program. Our opportunities will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems and turn theory into practice. At Siemens, our goal is to empower our students to become the next leaders of our company.

Baseline Program Requirements:

  • Currently enrolled as an undergraduate student at an accredited university
  • Legally authorized to work in the United States without the need for current or future sponsorship by the company
  • A minimum 3.0 GPA

Perks:

  • Employee discounts at our top customer sites
  • Networking with our global leaders
  • Mentorship from senior employees
  • Individual career development planning
  • Professional and technical workshops
  • Paid volunteer time off
  • Energetic student community
  • Leadership opportunities
  • Potential for full-time offers after university graduation and completion of the program

Position Overview:

Siemens Digital Industries Software is seeking a Digital Thread & Systems Engineering Intern to support the Capital PreSales organization. This role offers an opportunity to work on innovative digital engineering initiatives spanning aerospace, defense, automotive, and software-defined product development.

The intern will assist in the development of engineering datasets, digital thread demonstrations, and proof-of-concept solutions that connect systems engineering, software development, electrical design, and lifecycle management processes. Working alongside experienced mentors, the intern will contribute to customer-facing demonstrations and internal innovation projects focused on digital transformation and model-based engineering.

Key Responsibilities:

  • Develop aerospace and automotive engineering datasets used for demonstrations and technical enablement.
  • Support Digital Thread initiatives connecting requirements, systems, software, electrical, and lifecycle information.
  • Assist in building and validating proof-of-concept solutions using Siemens Capital and the Siemens Xcelerator portfolio.
  • Contribute to systems engineering and model-based systems engineering (MBSE) workflows.
  • Create technical documentation, presentations, and demonstration assets.
  • Participate in technical reviews, innovation projects, and customer-focused engineering initiatives.

Requirements:

  • Pursuing a Bachelor's or Master's degree in Systems Engineering, Electrical Engineering, Aerospace Engineering, Computer Engineering, or a related discipline.
  • Comfortable working in a fully remote environment within the United States of America.
  • Interest in digital engineering, systems thinking, and software-defined products.
  • Experience with Python, scripting, or data analysis is a plus.
  • Strong analytical, communication, and problem-solving skills.
LI-PLMLI-RemoteSWSaaS

You'll Benefit From

The hourly pay range for this position $18 - $50 per hour, based off of your projected graduation year. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Additionally, interns for Siemens are eligible to contribute into our 401K program.

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

Reasonable Accommodations

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.

Pay Transparency

Siemens follows Pay Transparency laws.

Application Deadline

This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.

California Privacy Notice

California residents have the right to receive additional notices about their personal information. To learn more, click here.

Criminal History

Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.


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