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Hourly Remote Data Labeling Jobs in Indiana (NOW HIRING)

General Counsel - Remote

Carmel, IN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Showing results 21-40

Hourly Remote Data Labeling information

What is hourly remote data labeling?

Hourly remote data labeling is a job where individuals work from home to tag, categorize, or annotate data (such as images, videos, text, or audio) for machine learning and artificial intelligence projects. Workers are typically paid by the hour and use online platforms to complete labeling tasks assigned by companies or research organizations. This work is crucial because AI models need large volumes of accurately labeled data to learn and function properly. The job usually requires attention to detail and may involve following specific guidelines to ensure data quality.

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

To thrive as an Hourly Remote Data Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow specific guidelines, often with a high school diploma or equivalent. Familiarity with data annotation tools and platforms such as Labelbox, Prodigy, or internal company systems is typically required. Reliability, time management, and effective written communication are crucial soft skills for meeting deadlines and maintaining quality in a remote setting. These skills and qualities are important to ensure accurate, consistent data labeling that directly impacts the performance of AI and machine learning models.

What are some common challenges faced by hourly remote data labelers, and how can they be managed?

Hourly remote data labeling professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying self-motivated while working independently. To manage these challenges, it's important to set up a dedicated workspace, take regular breaks to reduce fatigue, and follow established labeling guidelines closely. Frequent communication with team leads and participating in quality feedback sessions can also help ensure your work meets project standards and fosters professional growth.

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

AspectHourly Remote Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with some industry-specific knowledge
Work EnvironmentRemote, flexible hoursRemote, often project-based or ongoing
Industry UsageCommon in AI/ML developmentUsed across tech, healthcare, automotive sectors
Search IntentLooking for remote data labeling jobsSearching for data annotation roles

Both roles involve labeling or annotating data for machine learning models, often remotely. The main difference lies in terminology and specific industry usage, but they share similar credentials and work environments.

What job categories do people searching Hourly Remote Data Labeling jobs in Indiana look for?

The top searched job categories for Hourly Remote Data Labeling jobs in Indiana are:

What cities in Indiana are hiring for Hourly Remote Data Labeling jobs?

Cities in Indiana with the most Hourly Remote Data Labeling job openings:

Strategic Student Program: AI & Engineering Data Internship (Spring 2027, GSCS)

Siemens

Indianapolis, IN • Remote

$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 an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization. This role provides hands-on experience applying AI technologies to engineering challenges across aerospace, defense, and automotive industries.

The intern will help create and manage engineering datasets, investigate AI-assisted workflows, and support projects that demonstrate how Digital Threads enable intelligent decision-making throughout the product lifecycle. The role combines engineering, software, data management, and AI technologies to develop innovative customer-facing demonstrations and internal capabilities.

Key Responsibilities:

  • Develop and curate engineering datasets for AI, analytics, and demonstration use cases.
  • Support AI and generative AI proof-of-concepts involving engineering and Digital Thread data.
  • Assist in connecting systems, software, and electrical engineering information into reusable data models.
  • Evaluate and document AI-assisted engineering workflows and use cases.
  • Build dashboards, reports, and visualizations that communicate engineering insights.
  • Support technical enablement activities and customer demonstration development.

Requirements:

  • Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial
  • Comfortable working in a fully remote environment within the United States of America.
  • Intelligence, Software Engineering, Systems Engineering, or a related discipline.
  • Experience with Python, data analytics, machine learning, or AI technologies.
  • Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.
  • Strong communication, collaboration, and problem-solving skills.
  • Passion for applying emerging technologies to real-world engineering challenges.

#LI-PLM

#LI-Remote

#SWSaaS

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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